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Ban ‘Killer Robots’ Before It’s Too Late - #IKR < #Realness - #NWO

Fully Autonomous Weapons Would Increase Danger to Civilians
November 19, 2012
  • The United Kingdom’s Taranis combat aircraft, whose prototype was unveiled in 2010, is designed strike distant targets, “even in another continent.” While the Ministry of Defence has stated that humans will remain in the loop, the Taranis exemplifies the move toward increased autonomy.
    © 2010 AP Photo
  • © 2012 Russell Christian for Human Rights Watch
  • The South Korean SGR-1 sentry robot, a precursor to a fully autonomous weapon, can detect people in the Demilitarized Zone and, if a human grants the command, fire its weapons. The robot is shown here during a test with a surrendering enemy soldier.
    © 2007 Getty Images
Related Materials: 
Losing Humanity
Giving machines the power to decide who lives and dies on the battlefield would take technology too far. Human control of robotic warfare is essential to minimizing civilian deaths and injuries.
 
Steve Goose, arms director

(Washington, DC) – Governments should pre-emptively ban fully autonomous weapons because of the danger they pose to civilians in armed conflict, Human Rights Watch said in a report released today. These future weapons, sometimes called “killer robots,” would be able to choose and fire on targets without human intervention. 

The 50-page report, “Losing Humanity: The Case Against Killer Robots,” outlines concerns about these fully autonomous weapons, which would inherently lack human qualities that provide legal and non-legal checks on the killing of civilians. In addition, the obstacles to holding anyone accountable for harm caused by the weapons would weaken the law’s power to deter future violations.

“Giving machines the power to decide who lives and dies on the battlefield would take technology too far,” said Steve Goose, Arms Division director at Human Rights Watch. “Human control of robotic warfare is essential to minimizing civilian deaths and injuries.”

“Losing Humanity” is the first major publication about fully autonomous weapons by a nongovernmental organization and is based on extensive research into the law, technology, and ethics of these proposed weapons. It is jointly published by Human Rights Watch and the Harvard Law School International Human Rights Clinic.

Human Rights Watch and the International Human Rights Clinic called for an international treaty that would absolutely prohibit the development, production, and use of fully autonomous weapons. They also called on individual nations to pass laws and adopt policies as important measures to prevent development, production, and use of such weapons at the domestic level.

Fully autonomous weapons do not yet exist, and major powers, including the United States, have not made a decision to deploy them. But high-tech militaries are developing or have already deployed precursors that illustrate the push toward greater autonomy for machines on the battlefield. The United States is a leader in this technological development. Several other countries – including China, Germany, Israel, South Korea, Russia, and the United Kingdom – have also been involved. Many experts predict that full autonomy for weapons could be achieved in 20 to 30 years, and some think even sooner.

“It is essential to stop the development of killer robots before they show up in national arsenals,” Goose said. “As countries become more invested in this technology, it will become harder to persuade them to give it up.”

Fully autonomous weapons could not meet the requirements of international humanitarian law, Human Rights Watch and the Harvard clinic said. They would be unable to distinguish adequately between soldiers and civilians on the battlefield or apply the human judgment necessary to evaluate the proportionality of an attack – whether civilian harm outweighs military advantage.

These robots would also undermine non-legal checks on the killing of civilians. Fully autonomous weapons could not show human compassion for their victims, and autocrats could abuse them by directing them against their own people. While replacing human troops with machines could save military lives, it could also make going to war easier, which would shift the burden of armed conflict onto civilians.

Finally, the use of fully autonomous weapons would create an accountability gap. Trying to hold the commander, programmer, or manufacturer legally responsible for a robot’s actions presents significant challenges. The lack of accountability would undercut the ability to deter violations of international law and to provide victims meaningful retributive justice.

While most militaries maintain that for the immediate future humans will retain some oversight over the actions of weaponized robots, the effectiveness of that oversight is questionable, Human Rights Watch and the Harvard clinic said. Moreover, military statements have left the door open to full autonomy in the future.

“Action is needed now, before killer robots cross the line from science fiction to feasibility,” Goose said.

    • #NWO
    • #Artificial Intelligence
    • #Robotics
    • #Cybernetics
    • #Trans-humanism
    • #Military Industrial Complex
  • 6 months ago
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NASA and GM team up for Robonaut-inspired cyborg glove

Roboglove

NASA and GM are working together on a robotic glove that can help make working with your hands a little easier. Officially called the Human Grasp Assist device — but also known as either K-glove or Robo-glove — the glove reduces the amount of force needed while using a tool, which decreases the chance of repetitive stress injuries. This is important for both NASA and GM, as the glove could potentially be used by both astronauts and auto assembly workers who handle tools for long periods of time.

The two organizations previously worked together on the Robonaut — which recently managed its first handshake in space — and the glove actually borrows some of that technology. It includes actuators in the fingers for a better grip, and pressure sensors to determine when you have a tool in your hand. Right now the Robo-glove weighs about two pounds and can reduce the amount of force needed for a given job by around half. So if a job takes 15-20 pounds of pressure, it could be reduced to as little as 5-10 pounds. The team is currently working on its third prototype, which will focus on making the glove smaller and lighter — so it looks like we’ll still have to wait a while to get stronger through Deus Ex-style human augmentation.

Robo-glove_201

    • #Robotics
    • #Transhumanism
    • #Augmented Reality
  • 1 year ago
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 How The 1% and the Machines May Come To Rule Us All
That’s my own sensational title, but it’s very fitting. This article, from the Atlantic and part of a 3 segment excerpt from a new book, is basically the article (and book?) I’ve been waiting 4 years to read! And also very timely with OWS, which is an awesome bonus.
As RCS followers know, I’m a major tech lover. That said, tech innovation also scares the pants off of me. There are for a few reasons, with the terminator-apocalypse low on the list. More realistically, a major concern of mine has been how technology will put people out of work. Because while technology can empower the average citizen (e.g. 3DP), it can also decimate fields of work, even destroying businesses. (Just think of how badly the US Postal Service is doing due to email, or how self-driving cars will effect taxi-drivers and truckers.)
This is a serious problem. A very serious problem, and one which I’ve been thinking about for some time. What will we do when robots can replace us? And don’t think it’s just simple, menial labor. It might almost be the opposite. There’s a lot of research into machines and programs for augmenting (read: decimating) and replacing (you read that right) even highly skilled positions like doctors (e.g. here, here, and here) and, say, stock-traders. Cause sure, there may still be a few positions left for humans even after machines mostly take control (e.g. one security guard monitoring 10 security cameras), but even cutting half of the positions for a field will produce an avalanche of problems. For instance, already now with unemployment at 9% [!], we’re seeing many students dropping out of college b/c the cost of tuition is extremely high and there’s no job security; thus, less incentive to go especially with the risk of heavy debt weighing down on a graduate’s shoulders.
And it’s a bit odd: On the one hand, robotic labor seems to open up the possibility of a more Utopian world where people needn’t work much (or at all?) to live; however, unless some big changes happen to the planet, the more likely scenario is that a few extremely wealthy people will simply own the robots that can do everything. And what will we do when there’s little-to-no work for us to do?
I don’t know. Like I said, it scares the pants off me. This article doesn’t suggest a solution (though it does emphasize the greater need for higher education, and perhaps we should work to include that in the public schooling system). And I’d really like to hear one. 
Seriously, if you have any ideas, let me know!
(Hat tip to emergentfutures for the link.)
RCS Highlights:
At least since the followers of Ned Ludd smashed mechanized looms in 1811, workers have worried about automation destroying jobs. Economists have reassured them that new jobs would be created even as old ones were eliminated…. However.. There is no economic law that says that everyone, or even most people, automatically benefit from technological progress... [T]echnological progress is not a rising tide that automatically raises all incomes. Even as overall wealth increases, there can be, and usually will be, winners and losers. And the losers are not necessarily some small segment of the labor force like buggy whip manufacturers. In principle, they can be a majority or even 90% or more of the population…If wages can freely adjust… [then] at some point, the equilibrium wages for workers might fall below the level needed for subsistence. A rational human would see no point in taking a job at a wage that low, so the worker would go unemployed and the work would be done by a machine instead…As technology continues to advance in the second half of the chessboard [nice Kurzweil reference - Ari], taking on jobs and tasks that used to belong only to human workers, one can imagine a time in the future when more and more jobs are more cheaply done by machines than humans. And indeed, the wages of unskilled workers have trended downward for over 30 years, at least in the United States. …lower pay only postpones the day of reckoning. Moore’s Law is not a one-time blip but an accelerating exponential trend…We’ll start with skill-biased technical change… A lot of factory automation falls into this category, as routine drudgery is turned over to machines…
It’s clear … that wage divergence accelerated in the digital era. As documented in careful studies..  the increase in the relative demand for skilled labor is closely correlated with advances in technology, particularly digital technologies. Hence, the moniker “skill-biased technical change,” or SBTC….Ever-greater investments in education, dramatically increasing the average educational level of the American workforce, helped prevent inequality from soaring as technology automated more and more unskilled work…A key aspect of SBTC was not just the skills of those working with computers, but more importantly the broader changes in work organization that were made possible by information technology. The most productive firms reinvented and reorganized.. to get the most from the technology…The second division is between superstars and everyone else. Many industries are winner-take-all or winner-take-most competitions, in which a few individuals get the lion’s share of the rewards… The superstars in each field can now earn much larger rewards than they did in earlier decades.The effects are evident at the top of the income distribution. The top 10% of the wage distribution has done much better than the rest of the labor force, but even within this group there has been growing inequality. Income has grown faster for the top 1% than the rest of the top decile. In turn, the top 0.1% and top 0.01% have seen their income grow even faster. This is not run-of-the-mill skill-biased technical change but rather reflects the unique rewards of superstardom... If technology exists for a single seller to cheaply replicate his or her services, then the top-quality provider can capture most—or all—of the market. The next-best provider might be almost as good yet get only a tiny fraction of the revenue.Technology can convert an ordinary market into one that is characterized by superstars. Before the era of recorded music, the very best singer might have filled a large concert hall but at most would only be able to reach thousands of listeners over the course of a year… Once music could be recorded and distributed at a very low marginal cost, however, a small number of top performers could capture the majority of revenues in every market, from classical music’s Yo-Yo Ma to pop’s Lady Gaga…According to economist Emmanuel Saez, the top 1% of U.S. households got 65% of all the growth in the economy since 2002. In fact, Saez reports that the top 0.01% of households in the United States—that is, the 14,588 families with income above $11,477,000—saw their share of national income double from 3% to 6% between 1995 and 2007…The third division is between capital and labor. Most types of production require both machinery and human labor… If the technology decreases the relative importance of human labor in a particular production process, the owners of capital equipment will be able to capture a bigger share of income from the goods and services produced... According to the recently updated data from the U.S. Commerce Department, recent corporate profits accounted for 23.8% of total domestic corporate income, a record high share that is more than 1 full percentage point above the previous record. Similarly, corporate profits as a share of GDP are at 50-year highs. Meanwhile, compensation to labor in all forms, including wages and benefits, is at a 50-year low. Capital is getting a bigger share of the pie, relative to labor.
Pop-upView Separately

 How The 1% and the Machines May Come To Rule Us All

That’s my own sensational title, but it’s very fitting. This article, from the Atlantic and part of a 3 segment excerpt from a new book, is basically the article (and book?) I’ve been waiting 4 years to read! And also very timely with OWS, which is an awesome bonus.

As RCS followers know, I’m a major tech lover. That said, tech innovation also scares the pants off of me. There are for a few reasons, with the terminator-apocalypse low on the list. More realistically, a major concern of mine has been how technology will put people out of work. Because while technology can empower the average citizen (e.g. 3DP), it can also decimate fields of work, even destroying businesses. (Just think of how badly the US Postal Service is doing due to email, or how self-driving cars will effect taxi-drivers and truckers.)

This is a serious problem. A very serious problem, and one which I’ve been thinking about for some time. What will we do when robots can replace us? And don’t think it’s just simple, menial labor. It might almost be the opposite. There’s a lot of research into machines and programs for augmenting (read: decimating) and replacing (you read that right) even highly skilled positions like doctors (e.g. here, here, and here) and, say, stock-traders. Cause sure, there may still be a few positions left for humans even after machines mostly take control (e.g. one security guard monitoring 10 security cameras), but even cutting half of the positions for a field will produce an avalanche of problems. For instance, already now with unemployment at 9% [!], we’re seeing many students dropping out of college b/c the cost of tuition is extremely high and there’s no job security; thus, less incentive to go especially with the risk of heavy debt weighing down on a graduate’s shoulders.

And it’s a bit odd: On the one hand, robotic labor seems to open up the possibility of a more Utopian world where people needn’t work much (or at all?) to live; however, unless some big changes happen to the planet, the more likely scenario is that a few extremely wealthy people will simply own the robots that can do everything. And what will we do when there’s little-to-no work for us to do?

I don’t know. Like I said, it scares the pants off me. This article doesn’t suggest a solution (though it does emphasize the greater need for higher education, and perhaps we should work to include that in the public schooling system). And I’d really like to hear one.

Seriously, if you have any ideas, let me know!

(Hat tip to emergentfutures for the link.)

  • RCS Highlights:

At least since the followers of Ned Ludd smashed mechanized looms in 1811, workers have worried about automation destroying jobs. Economists have reassured them that new jobs would be created even as old ones were eliminated…. However.. There is no economic law that says that everyone, or even most people, automatically benefit from technological progress... [T]echnological progress is not a rising tide that automatically raises all incomes. Even as overall wealth increases, there can be, and usually will be, winners and losers. And the losers are not necessarily some small segment of the labor force like buggy whip manufacturers. In principle, they can be a majority or even 90% or more of the population…

If wages can freely adjust… [then] at some point, the equilibrium wages for workers might fall below the level needed for subsistence. A rational human would see no point in taking a job at a wage that low, so the worker would go unemployed and the work would be done by a machine instead…

As technology continues to advance in the second half of the chessboard [nice Kurzweil reference - Ari], taking on jobs and tasks that used to belong only to human workers, one can imagine a time in the future when more and more jobs are more cheaply done by machines than humans. And indeed, the wages of unskilled workers have trended downward for over 30 years, at least in the United States. …lower pay only postpones the day of reckoning. Moore’s Law is not a one-time blip but an accelerating exponential trend…

We’ll start with skill-biased technical change… A lot of factory automation falls into this category, as routine drudgery is turned over to machines…

It’s clear … that wage divergence accelerated in the digital era. As documented in careful studies..  the increase in the relative demand for skilled labor is closely correlated with advances in technology, particularly digital technologies. Hence, the moniker “skill-biased technical change,” or SBTC….

Ever-greater investments in education, dramatically increasing the average educational level of the American workforce, helped prevent inequality from soaring as technology automated more and more unskilled work…

A key aspect of SBTC was not just the skills of those working with computers, but more importantly the broader changes in work organization that were made possible by information technology. The most productive firms reinvented and reorganized.. to get the most from the technology…

The second division is between superstars and everyone else. Many industries are winner-take-all or winner-take-most competitions, in which a few individuals get the lion’s share of the rewards… The superstars in each field can now earn much larger rewards than they did in earlier decades.

The effects are evident at the top of the income distribution. The top 10% of the wage distribution has done much better than the rest of the labor force, but even within this group there has been growing inequality. Income has grown faster for the top 1% than the rest of the top decile. In turn, the top 0.1% and top 0.01% have seen their income grow even faster. This is not run-of-the-mill skill-biased technical change but rather reflects the unique rewards of superstardom... If technology exists for a single seller to cheaply replicate his or her services, then the top-quality provider can capture most—or all—of the market. The next-best provider might be almost as good yet get only a tiny fraction of the revenue.

Technology can convert an ordinary market into one that is characterized by superstars. Before the era of recorded music, the very best singer might have filled a large concert hall but at most would only be able to reach thousands of listeners over the course of a year… Once music could be recorded and distributed at a very low marginal cost, however, a small number of top performers could capture the majority of revenues in every market, from classical music’s Yo-Yo Ma to pop’s Lady Gaga…

According to economist Emmanuel Saez, the top 1% of U.S. households got 65% of all the growth in the economy since 2002. In fact, Saez reports that the top 0.01% of households in the United States—that is, the 14,588 families with income above $11,477,000—saw their share of national income double from 3% to 6% between 1995 and 2007…

The third division is between capital and labor. Most types of production require both machinery and human labor… If the technology decreases the relative importance of human labor in a particular production process, the owners of capital equipment will be able to capture a bigger share of income from the goods and services produced...
According to the recently updated data from the U.S. Commerce Department, recent corporate profits accounted for 23.8% of total domestic corporate income, a record high share that is more than 1 full percentage point above the previous record. Similarly, corporate profits as a share of GDP are at 50-year highs. Meanwhile, compensation to labor in all forms, including wages and benefits, is at a 50-year low. Capital is getting a bigger share of the pie, relative to labor.

    • #transhumanism
    • #cybernetics
    • #robotics
    • #technology
    • #NWO
  • 1 year ago > realcleverscience
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Science Fiction No More: Humans and Robots to Explore Space Together

Head shot of NASA’s Robonaut. Kennedy Space Center can be seen reflected in the visor. Credit: NASA/JPL/Joe Bibby

When you hear about robots and space exploration, the first thing many people may think of is R2-D2 and C-3PO from Star Wars. While we may not be quite there yet, robots have become a major, even necessary, part of space missions. The many probes, landers and rovers that have been sent throughout the solar system are essentially robots, which have become more advanced over time. Then there’s the new Robonaut, a humanoid robot designed to assist astronauts with a variety of tasks in space including on the International Space Station, for example. But what is next? That was the subject of a panel discussion last Tuesday at the Von Braun Memorial Symposium in Huntsville, Alabama. The future being planned by the robotics experts involved is one of both humans and robots working together in space. The future is now…

“Can we have both robotics and human exploration of space?” was the question of the day. While there have long been advocates of both, there has also been a prevailing debate over which is better; robotic missions are less expensive and don’t put people in danger, but there are some things that only humans could do efficiently and quickly. The rovers on Mars for example, have done an amazing job of exploring the Martian surface, although human astronauts could do a lot of the same tasks faster. Also of course, people can experience the wonder and excitement of exploration in a way that machines can’t.

Instead of choosing between the two scenarios, the best idea, which I personally agree with, is to do both in tandem. That was the focus and apparent consensus of the symposium, that the best way forward is for humans and robots to work together, complimenting each others’ strengths and weaknesses. Humans might be better suited for on-site detailed exploration such as sample-taking, while robots could better handle other, more dangerous jobs.

The use of robotics has become a “pervasive technology across both military and space” according to Dr. Suzy Young of UA-Tuscaloosa’s Research Office. She also cited sources which claim that robotic intelligence could start to approach that of humans by 2040. It may still sound like science fiction, but it is quickly becoming science fact. Maybe those lovable droids from Star Wars aren’t too far off now after all.

    • #Technology
    • #Robotics
    • #Transhumanism
    • #One Step Closer To TERMINATOR
    • #Just Sayin..
  • 1 year ago
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#NWO - Humanoid Autonomous Police Robot


 

www.tv-robotics.co.za

The Pentagon’s Defense Advanced Research Projects Agency (DARPA) plans to have fully humanoid robots that think, act, react, learn, make decisions all on their own, and live amongst us all, by the year 2025 or even sooner. We are talking only 16? years or less. Robotics is alot more important to the New World Order Agenda than a lot of people may think. The NWO knows that almost none of the police or military are actually going to turn on the citizens of their own country and enforce martial law and a police state. This is why (IMO) that robots are a crucial factor to the success of the NWO. intelligent humanoid robots are exactly what the NWO needs in order to police and enslave everyone.

Duration : 0:1:21


    • #NWO
    • #Systems of Control
    • #Artificial Intelligence
    • #Robotics
    • #Cybernetics
    • #Tyranny
  • 1 year ago
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Robot Throws First Pitch At Phillies Game

RedEaredSlider writes “The first ball at the Phillies-Brewers game will get thrown by a robot — but Roy Halladay’s job is still safe. As part of an outreach program and the Phillies’ ‘Science Day At The Ballpark,’ the University of Pennsylvania’s School of Engineering and Applied Science is showcasing a robot made from a Segway and featuring an arm that acts more like a human throwing than an ordinary pitching machine. A pitching machine functions more like a gun, firing a baseball in what amounts to a straight line. But the robot has an armature connected to a hand that was specifically designed for throwing. Another thing the robot can do is identify the strike zone.”

    • #technology
    • #robotics
    • #sports
  • 2 years ago
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'\x3ciframe width=\x22500\x22 height=\x22307\x22 src=\x22http://www.youtube.com/embed/3CR5y8qZf0Y?wmode=transparent\x26autohide=1\x26egm=0\x26hd=1\x26iv_load_policy=3\x26modestbranding=1\x26rel=0\x26showinfo=0\x26showsearch=0\x22 frameborder=\x220\x22 allowfullscreen\x3e\x3c/iframe\x3e'

Quadrocopter Ball Juggling (by UntitledTitle)

Yikes.

Source: youtube.com

    • #Robotics
    • #Are Going To Take Over The World! :P
  • 2 years ago
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Surveillance robots know when to hide

Heading for cover (Image: Lockheed Martin Advanced Technologies Lab)

Heading for cover (Image: Lockheed Martin Advanced Technologies Lab)

The creation of robots that can hide from humans while spying on them brings autonomous spy machines one step closer

THE spy approaches the target building under cover of darkness, taking a zigzag path to avoid well-lit areas and sentries. He selects a handy vantage point next to a dumpster, taking cover behind it when he hears the footsteps of an unseen guard. Once the coast is clear, he is on the move again - trundling along on four small wheels.

This is no human spy but a machine, a prototype in the emerging field of covert robotics. It was being put through its paces at a demonstration late last year by Lockheed Martin’s Advanced Technology Laboratories at Cherry Hill, New Jersey. With an aerial drone to their credit (see “Unseen watcher in the sky”), the company now wants to design autonomous robots that can operate around humans without being detected.

What makes the robot special is its ability to build a computer model of its surroundings, incorporating information on lines of sight. The robot is fitted with a laser scanner to allow it to covertly map its environment in 3D. It also has a set of acoustic sensors which it uses to distinguish nearby footsteps and their direction.

Lead engineer Brian Satterfield says the robot was designed to operate within four constraints: “Avoiding visible detection by sentries of known locations, avoiding potential detection by sentries whose positions were unknown, avoiding areas in which the robot would have no means of escape, and, as this robot was designed to run at night, avoiding areas that were well lit.” To make it hard to spot in the dark, the robot was painted black.

If the robot believes it is in danger of being detected by an approaching sentry, it will try to get to a place where it can hide, Satterfield says. His comment is an example of how natural it is for us to talk about such robots as if they understand how they are perceived and have a “theory of mind”Movie Camera.

“Lockheed Martin’s approach does include a sort of basic theory of mind, in the sense that the robot makes assumptions about how to act covertly in the presence of humans,” says Alan Wagner of the Georgia Institute of Technology in Atlanta, who works on artificial intelligence and robot deception.

But the level at which the robot’s software operates is probably limited to task-specific instructions such as, “if you hear a noise, scurry to the nearest dark corner”, he says. That’s not sophisticated enough to hide from humans in varied environments.

“Significant AI will be needed to develop a robot which can act covertly in a general setting,” Wagner says. “The robot will need to consider its own shape and size, to have the ability to navigate potential paths, [to be aware of] each person’s individual line of view, the impact that its movement will have on the environment, and so on.”

Satterfield’s robot was built with off-the-shelf components. Both he and Wagner say that specialised hardware which is more compact and quieter will improve future robots’ mobility and their ability to stay hidden. “There are very few fundamental limits that would prevent robots from eventually conducting extended covert missions and evading detection by humans,” Satterfield says.

Lockheed Martin’s work looks ready to emerge, albeit quietly, into the real world. The US army recently solicited proposals for a “persistent surveillance” robot with concealment capabilities and suited for extended deployments. Later this year, the US Department of Defense is expected to back that up with cash awards for working designs.

Unseen watcher in the sky

In 2006 Lockheed Martin developed a stealthy aerial drone, known as Stalker, for US special forces in Afghanistan. Launched by hand, it weighs 6 kilograms and has a 3-metre wingspan.

The electric-powered drones it replaced are quiet, but Stalker is designed to be even quieter, with a “hush drive” combining a silenced electric motor and a special propeller. Stalker is said to be inaudible beyond 80 metres away, and can fly at night with the aid of infrared sensors and low-light cameras.

Stalker can also accurately deliver a payload weighing up to 1 kilogram, such as remotely operated cameras or microphones for eavesdropping on a target.

    • #NWO
    • #Systems Of Control
    • #Spying
    • #Robotics
    • #Military Industrial Complex
  • 2 years ago
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'\x3ciframe width=\x22500\x22 height=\x22307\x22 src=\x22http://www.youtube.com/embed/eZlLNVmaPbM?wmode=transparent\x26autohide=1\x26egm=0\x26hd=1\x26iv_load_policy=3\x26modestbranding=1\x26rel=0\x26showinfo=0\x26showsearch=0\x22 frameborder=\x220\x22 allowfullscreen\x3e\x3c/iframe\x3e'

Geminoid DK Mechanical Test (via GeminoidDK)

Mechnical test of Geminoid DK
Still pretty far from the end result, but interesting nonetheless.

Source: youtube.com

    • #Transhumanism
    • #Robotics
    • #Cybernetics
  • 2 years ago
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Air Force's X-37B Space Plane Launching on Secret Mission

Despite its robotic nature, the X-37B space plane received a warm welcome from Air Force crews at Vandenberg. Here, the vehicle appears to be undergoing safing procedures after landing on Dec. 3 at 1:16 a.m. PST (0916 GMT). Significant weathering, or disc Despite its robotic nature, the X-37B space plane received a warm welcome from Air Force crews at Vandenberg. Here, the vehicle appears to be undergoing safing procedures after landing on Dec. 3 at 1:16 a.m. PST (0916 GMT). Significant weathering, or discoloration, can be seen on the spacecraft’s upper thermal blanket insulation.
CREDIT: USAF/Vandenberg Air Force Base
View full size image

The U.S. Air Force’s secretive X-37B space plane is poised to launch on its second mission Friday (March 4), though what exactly it will be doing once it leaves the ground remains a mystery.

The robotic X-37B mini-shuttle is slated to lift off from Cape Canaveral, Fla., on Friday atop an Atlas 5 rocket, weather permitting. Its launch window opens at 3:39 p.m. EST (2039 GMT), according to the launch provider United Launch Alliance, which is overseeing the flight.

This will mark the second space mission for the Air Force’s X-37B space plane program — but the first for this particular plane. It is the second X-37B spacecraft built for the Air Force by Boeing and carries the name Orbital Test Vehicle 2, or OTV-2.

The first X-37B spacecraft launched in April 2010 and returned to Earth in December after an apparently successful test flight, though the details of that mission – like this upcoming flight – are classified. The first X-37B mission lasted 225 days. [Photos: First Flight of the X-37B Space Plane]

Current forecasts for Friday’s X-37B launch try predict a 70 percent chance that bad weather may delay the flight, Air Force official have said.

A small robotic space shuttle

With its blunt nose and stubby wings, the unmanned X-37B spacecraft resembles a miniature version of NASA’s space shuttles. The vehicle was originally developed as part of a NASA project that was shifted to the military when funding ran dry.

Air Force's Mystery X-37B Robot Spaceship to Launch TodayThe U.S. Air Force’s X-37B Orbital Test Vehicle is shown inside its payload fairing during encapsulation at the Astrotech facility in Titusville, Fla., ahead of a planned April 2010 launch from Cape Canaveral Air Force Station in Florida.
CREDIT: USAFView full size image

The spacecraft is about 29 feet (almost 9 meters) long and 14 feet wide (nearly 4.5 meters), with a payload bay about the size of a pickup truck bed. It is designed to launch vertically inside the nose cone of a rocket, stay in orbit for months at a time, and then land horizontally on a runway like a space shuttle.

But unlike NASA’s shuttles, the X-37B space plane does everything autonomously. It also has a solar array that is deployed from its payload bay to generate power during its months-long stay in orbit [Infographic: The X-37B Space Plane]

“There is no one on the ground with a joystick flying it,” Lt. Col. Troy Giese, X-37B program manager in the Air Force Rapid Capabilities Office, said before the first X-37B mission blasted off last year.

The Air Force Rapid Capabilities Office oversees the X-37B space plane program for the U.S. military.

The x-37B Orbital Test Vehicle is an unmanned space test vehicle for the USAF. CREDIT: Karl Tate, SPACE.comView full size image

Secret second test flight

Air Force officials have not said much about first X-37B mission, and they’re been similarly tight-lipped about the upcoming second flight with the OTV-2 vehicle.

But the Air Force has said that the X-37B spacecraft should help the Air Force test and demonstrate new technologies — such as guidance, navigation and control systems — that could be used on future satellites.

The secrecy surrounding the X-37B has led to some speculation that the plane could be a space weapon of some sort. But Air Force officials have repeatedly denied that charge, and some experts have postulated that it is a platform for space reconnaissance.

The X-37B is built by Boeing’s Space and Intelligence Systems division. It can fly long, extended missions because of its solar array power system, which allows it to stay in orbit for up to 270 days, Air Force officials have said.

Originally, NASA used the space plane as an experimental test bed until funding for the project ran out in 2004.

The vehicle then passed to the Defense Advanced Research Projects Agency and was ultimately turned over to the Air Force in 2006.

You can follow SPACE.com senior writer Mike Wall on Twitter: @michaeldwall.

  • Gallery: Photos of the X-37B Space Plane
  • Worst Space Weapons Concepts of All Time
  • Infographic: The X-37B Space Plane
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Autonomous Quadrotor Teams May Build Your Next House

Back in July, we wrote about how UPenn’s GRASP Lab had taught their quadrotors to work together to grasp and move things. The next step, it seems, is teaching the quadrotors to work together to grasp and move things and actually build buildings. The video above shows a team of quadrotors cooperating to construct the framework of a (rather small) building. The building’s structure is held together with magnets, and the quadrotors are able to verify that the alignment is correct by attempting to wiggle the structural components around, which is pretty cool.

It’s fun to speculate about how this technology might grow out of the lab into the real world… To build actual buldings, you’d either need much bigger quadrotors (which is possible), lots of small quadrotors cooperating in big pieces (also possible), or buildings built out of much smaller components (which might be the way to go). The quadrotors probably wouldn’t be able to do all the work, but they have the potential to make construction projects significantly more efficient.

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On the Ethical Conduct of Warfare: Predator Drones

Global Research, February 22, 2011

 “A robot may not injure a human being or, through inaction, allow a human being to come to harm” —  Isaac Asimov’s “First Law of Robotics”

 

Among the most intriguing questions that modern technology poses is the extent to which inanimate machines might be capable of replacing human beings in combat and warfare.  The very idea of armies of robots has a certain appeal, even though “The Terminator” and “I, Robot”, have raised challenging questions related to the capacity for machine mentality and the prospect that, once they’ve attained a certain level of intelligence, these machines might turn against those who designed and built them to advance their own “interests”, if, indeed, such a thing is possible.  In an earlier article, “Intelligence vs. Mentality: Important but Independent Concepts” (1997), for example, I have argued that, while machines may well be described as “intelligent” because of the plasticity of behavior they can display in response to different programs, they are not the possessors of minds and therefore may be capable of simulating human intelligence but not of its possession.                              

 

From a philosophical point of view, there are at least three perspectives that could be brought to bear upon the use of the specific form of digital technology known as “predator drones”, which are pilot-less aircraft that can be deployed with the capacity to project lethal force —perhaps most commonly, by missile attacks, primarily — with or without any intervention by human minds.   The first is that of metaphysics, in particular, from the perspective of the kinds of things they are, especially with respect to the question of autonomy.  The second is that of epistemology, in particular, the question of the kind of knowledge that can be obtained about their reliability on missions.  And the third is that of axiology, in particular, the moral questions that arise from their use as killing machines, where, as I shall suggest, there is an inherent tension between the first and the third of these perspectives, which is considerably compounded by the second.

 

As a former artillery officer, I can appreciate the use of weapons that are capable of killing at a distance with considerable anonymity about those who are going to be killed.  In traditional warfare, artillery has been used to attack relatively well-defined military targets, but has not infrequently been accompanied by civilian casualties, which today are often referred to as “collateral damage”.  An intermediate species of killing machine arises from the use of controlled drones, where human minds are an essential link in the causal chains that produce their intentional lethal effects.  The use of predator drones, of course, is distinct from surveillance drones in this respect, because surveillance drones can acquire information without bringing about death or devastation.  Without those capacities, however, there would be scant purpose in the deployment of predator drones, the existence of which is predicated upon their function as killing machines. 

 

Ontology and Autonomy

 

The important metaphysical — more precisely, ontological — question that arises within this context is the applicability of the concept of autonomy to inanimate machines.  The traditional philosophical conception related to issues of moral responsibility concerns whether arguments by analogy apply.  Moral responsibility for human actions typically requires a certain basic capacity for rationality of action and rationality of belief, combined with an absence of coercion and of constraint.  When humans are unable to form rational beliefs (responsive to the information available to them, because they are paranoid) or take rational actions (which promote their motives based upon their beliefs, because they are neurotic), they may be exonerated from moral responsibility for their actions.  Similarly, when their actions are affected by coercion (by means of threats) or constraints (by being restrained), degrees of responsibility may require adjudication.

 

While human actions result from a causal interaction of motives, beliefs, ethics, abilities and capabilities, counterparts for predator drones do not appear to exist except in an extended or figurative sense.  If capabilities represent the absence of factors that inhibit their abilities from being exercised — as is the case when they cannot fly because their batteries need recharging — then their incapacity to perform their intended tasks could not be said to be their own responsibility.  But insofar as they are designed and built to conform to the programs that control them, it is difficult to suppose that analogies with humans properly apply.  Since analogies are faulty when (a) there are more differences than similarities, (b) when there are few but crucial differences, or (c) when their conclusions are treaded as certain rather than merely probable, absent mentality, it is difficult to conclude that they are capable of the possession of beliefs, motives, or morality.

 

From the perspective of epistemology, the kind of knowledge that can be acquired about these machines is not akin to that of pure mathematics, which acquires certainty at the expense of their content, but rather than of applied mathematics, which acquires its content at the expense of its certainty.  The complex causal interaction between software, firmware, and hardware makes the performance of these systems both empirical and uncertain as the product of evaluating their success in use against the properties of their design.  If they are not engineered in accordance with the appropriate specifications, for example, then the result of their deployment can be fraught with hazard.  The reliability of these systems in delivering their lethal force to appropriate targets can be completely unknown without testing and study, where the conditions of their use in Iraq and Afghanistan makes their probability of success unpredictable. 

 

Epistemology and Targeting

 

The most serious problems with their deployment, however, arise from the criteria for determining the targets against which they are properly deployed.  In the language of artillery, sometimes targets are designated as “free fire” zones, where any human within that vicinity is considered to be a legitimate target.  That works when the enemy is clearly defined and geographically prescribed.  In the case of guerilla (or “irregular”) warfare, however, there are neither uniforms to identify the enemy nor territorial boundaries to distinguish them, as is the case in Iraq and Afghanistan, where virtually any group of individuals, no matter how innocuous they may turn out to be, tends to be regarded as “fair game” for drone attack. In military language, of course, it’s all readily excusable as “collateral damage”.

 

How many wedding parties are we going to take out because the drone saw group behavior that it had been programmed to hit?  How often do we have sufficient information to know that we are actually targeting insurgents and not innocents? Surely I am not alone in finding our actions repugnant when I read, “Over 700 killed in 44 drone strikes in 2009” taking out 5 intended targets —140 to 1 — and 123 civilians were killed for 3 al-Qaeda in January 2010. The headlines are ubiquitous:  “CIA chief in Pakistan exposed.  Top spy received death threats; U.S. drones kill 54”, Wisconsin State Journal (18 December 2010), where the American government claims, just as it did in Vietnam, that every dead body was a ”suspected militant”: none were innocent men, women, or children.   Even The Washington Post (21 February 2011) seems to perceive that something is wrong with killing so many people and hitting so few targets.

 

We are now invading Pakistani airspace in our relentless determination to take out those who oppose us. From the point of view of the countries that we have invaded and occupied, they might be more aptly described as “freedom fighters”. Since we invaded these countries in violation of international law, the UN Charter and the US Constitution, we appear to be committing crimes against humanity. And the risk posed by our own technology is now extending to the USA itself. A recent article found in Software 26th August 2010 12:26 GMT, “ROBOT KILL-CHOPPER GOES ROGUE above Washington DC!” by Lewis Page, describes a perceived threat to the nation’s capitol as attributable to “software error”. No deaths resulted from this infraction, but perhaps the next time a mistake of this kind will lead to the deaths of members of Congress or of “The First Family” on a picnic outing in the Rose Garden, which will make for spectacular headlines.  Yet we don’t even pause to ask ourselves, “What’s wrong with collateral damage?”

 

Morality and Methodology

 

We cannot know whether or our conduct or that of our machines is moral or not  unless we know the nature of morality. The answer depends upon which theory of morality is correct. There are many claimants to that role, including subjective theories, family-value theories, religious-based theories, and culture-related theories, according to which “an action is right” when you (your family, your religion, or your culture) approve of it. So if you (your family, your religion, or your culture) approve of incest, cannibalism, or sacrificing virgins to appease the gods, such actions cannot be immoral, if one of these theories is true. All these approaches make morality a matter of power, where right reduces to might. If someone approves of killing, robbing, or raping you, then you have no basis to complain on the ground that those actions are immoral, if subjectivism is correct. Similarly for family, religion, and culture-based alternatives. Every person, every family, every religion, and very culture is equal, regardless of their practices, if such theories are true. They thus embody the principle that “might makes right”.

 

As James Rachels, The Elements of Moral Philosophy (1999), has explained, on any of these accounts, the very ideas of criticism, reform, or progress in matters of morality no longer apply. If attitudes about right and wrong differ or change, if that is all there is to it, even when they concern your life, liberty, or happiness. If  some person, family, or group has the power to impose their will upon you, then these theories afford you no basis to complain. While Rachels is correct, as far as he goes, I have sought to establish objective criteria for arbitrating between moral theories that parallel those we have for scientific theories, including the clarify and precision of their language, their scope of application for the purpose of explanation and of prediction, their respective degrees of empirical support, and the simplicity (or economy or elegance) with which that degree if systematic power is attained.   And, indeed, as I explain in detail in The Evolution of Intelligence (2005) and in Render Unto Darwin (2007), there do appear to be parallel criteria of adequacy for moral theories.

 

Theories of morality, no less than theories of physics, chemistry, and such, are also subject to evaluation on the basis of (CA-1) the clarify and precision of their language as a first criterion.  Since the problem of morality arises from the abuse of power, it seems apparent that a second criterion of adequacy (CA-2) should be that an acceptable theory not be reducible to the principle that “might makes right”.  Yet a third, which might be viewed as encompassing empirical content in the form of virtually universal human experience (CA-3) holds that an acceptable theory of morality should properly classify the “pre-analytically” clear cases of immoral conduct — such as murder, robbery, and rape — as “immoral” on that theory; and similarly for “pre-analytically” clear cases of moral behavior, such as (apart from special cases) telling the truth, keeping our promises, and dealing equitably with other persons.  The fourth (CA-4) is that an adequate theory of morality should shed light on the “pre-analytically” unclear cases, such as pot, prostitution, and flag burning but also abortion, stem-cell research, and cloning.

 

Alternative Theories

 

While I address those “unclear cases” in the recent books I have cited, here I shall confine myself to considering the moral status of the use of predator drones, If  we apply the four criteria by focusing on the second, third, and fourth, then the inadequacies of all but one moral theory become apparent. With regard to the four traditional theories I have discussed — simple subjectivism, family values, religious ethics, and cultural relativity — it should be apparent that they reduce to the corrupt principle that might makes right and therefore violate (CA-2).  Since they permit pre-analytically clear cases of immoral behavior to qualify as “moral”, they also violate (CA-3).  Because the “morality” of unclear cases, like the use of predator drones, varies with attitudes, which can differ from person to person, group to group, religion to religion and culture to culture at the same time or within any of those at different times, none of these theories satisfies (CA-4).

 

The relativity of traditional theories has motivated students of morality to move in the direction of more philosophical theories, which tend to fall into the categories of what are know as “consequentialist” and “non-consequentialist“ theories.  The former classify an action as “right” when it produces at least as much GOOD as its effect as does any available alternative, where what is GOOD is usually taken to be happiness. The problem, however, remains of deciding FOR WHOM that happiness ought to be produced, since it might be the individual, the group, or everyone.  According to Ethical Egoism, for example, an action is right when it brings about as much happiness for you personally as any available alternative. The consequences for others simply don’t count. So Ted Bundy, John Gacy, and Jeffrey Dahmer, for example, are home free — morally speaking — though few juries would be likely to be impressed by the argument that killing gave them more happiness than any available alternative. The violations of (CA-2), (CA-3), and (CA-4), I presume, require no elaboration.

 

According to Limited Utilitarianism, moreover, an action is right when it brings about as much happiness for the members of your group as any available alternative. This is good news for The Third Reich, the Mafia, and General Motors. If no available alternative(s) would produce more happiness for Nazis than territorial acquisition, military domination, and racial extermination, then those qualify as moral actions if Limited Utilitarianism is true.  As in the case of Ethical Egoism, the violations of (CA-2), (CA-3) and (CA-4) appear to be obvious. Classic Utilitarianism, among consequentialist theories, is the only one that dictates the necessity of encompassing the effects actions have upon everyone rather than some special class. But even this virtue does not guarantee the right results. If a social arrangement with a certain percentage of slaves, say, 15%, would bring about greater happiness for the population as a whole  — because the increase in happiness of the masters outweighed the decrease in happiness of the slaves  — then that arrangement would qualify as moral.  Yet slavery is immoral if any practice is immoral.

 

Deontological Morality

 

The problem here is more subtle than in other cases and therefore deserves more explanation.  Actions that benefit the majority may do so at the expense of the minority.  The Classical Utilitarian conception of “the greatest good for the greatest number” should not come at the expense of the life, liberty, or property of the minority — absent mechanisms to insure that their rights are protected and upheld.  Technically, we are talking about a concept of morality that is distributive (as a property of each person) rather than collective (as a property of the group), as I shall explain. Suppose that ten smokers were selected at random by the government each year, put on television and shot. It might well be that enthusiasm for smoking would fall dramatically, that heart and lung disease would diminish, that health care premiums would drop and that the net happiness of society would be maximized. If that were the case, should we select ten smokers at random each year, put them on television and shoot them?

 

If theories that qualify manifestly immoral behavior, such as a slave-based society or random public executions to promote the health of the nation.as “moral” ought to be rejected, then perhaps a non-consequentialist approach might do better.  According to what is known as Deontological Moral Theory, actions are moral when they involve treating other persons with respect.  More formally expressed, it requires that other persons should always be treated as ends (as intrinsically valuable) and never merely as means (instrumentally).  This approach has its roots in (what is technically known as) “the Second Formulation of the Categorical Imperative” advanced by Immanuel Kant, but we can forego such niceties here.

 

This does not mean that persons can never treat other persons as means, which usually happens without thereby generating immorality. The relationship between employers and employees is clearly one in which employers use their employees as a means to conduct a business and make profits, while employees use their employment as a means to make a buck and earn a living. Within a context of mutual respect, this is moral conduct as a feature characteristic of human life. When employers abuse their employees by subjecting them to unsafe working conditions, excessive hours, or poor wages, however, the relationship becomes exploitative and immoral.  These are the conditions that typify “the sweat shop” and explain why they are despicable business practices.

 

They can also occur when employees fail to perform their duties, steal from their employers, or abuse the workplace. Similar considerations apply to doctors and patients, students and faculty, or ministers and congregations, which may explain our dismay at their betrayal.  Perhaps the central consequence of a deontological perspective is the centrality of due process.  No one should be deprived of their life, liberty or property without an appropriate form of certification that punishment of that kind is something that they deserve, which reveals the gross immorality of military aggression, territorial conquest, systematic genocide—and death by the use of predator drones to kill other persons, with only superficial regard for due process in the case of the intended targets and non-existent for everyone else!

                                                                          

Axiology and Autonomy

 

When we are talking about a so-called “autonomous machine”, then the question becomes whether or not such an entity is even capable of understanding what it means for something to be a person or to treat it with respect.  There are ways to guarantee killing the enemy within a target zone, namely, by killing everyone in it.  And there are ways to avoid killing the wrong target, namely, by killing no one in it.  The problem is to kill all and only the intended targets.  But is that possible? This becomes extremely problematical in the case of unconventional warfare.  In principle, persons are entitled to be treated with respect by following rules of due process, where no one is deprived of life, liberty, or property without having the opportunity to defend them selves.  In the case of the use of predator drones, however, the only processes utilized by autonomous machines are those that accrue from the target identification criteria with which they are programmed.

 

These machines, like other tools including computerized systems, are inherently amoral — neither moral nor immoral — from a deontological point of view. They, like other digital machines, have no concept of morality, of personhood or of mutual respect.  They are simply complex causal systems that function on the basis of their programs. Were these conventional wars involving well-defined terrain and uniformed combatants, their use, in principle, would be no different than high-altitude bombing or artillery strikes, where, although the precise identity of our targets are not always known, we know who they are with high probability.  In cases like Iraq and Afghanistan, our information is partial, sketchy, and all too often wrong.  We are killing around 140 innocents for every intended target!

 

We are taking out citizens of Iraq, Afghanistan, and now Pakistan, which, alas, if research on 9/11 is well founded — visit http://911scholars.org , for example, or http://patriotsquestion911.com — have never threatened us.  So we really have no business being there at all. Yet to this day we continue to hear about the threat from al-Qaeda and from Osama bin Laden, who appears to have died in 2001. We are depriving the citizens of other countries of their life, liberty, and property with no semblance of due process.  This means that our actions are not only in violation of international law, the UN Charter, and the United States’ Constitution but also violate basic human rights. We once believed it was better for ten guilty me to go free than for one innocent man to be punished.  We now practice the policy that it is better for 140 civilians to die than for one suspected “insurgent“ to live.  We have come a long way from Isaac Asimov’s “First Law”.

 

* An expanded and revised version of “Predator Drones: The Immoral use of Autonomous Machines” (2010).

 

Jim Fetzer [send him mail], a former Marine Corps officer who earned his Ph.D. in the history and the philosophy of science, is McKnight Professor Emeritus at the Duluth campus of the University of Minnesota. He has published extensively on the theoretical foundations of computer science, AI, and cognitive science.  His academic web site may be found at http://www.d.umn.edu/~jfetzer/ .


Jim Fetzer is a frequent contributor to Global Research.  Global Research Articles by Jim Fetzer

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BBC News - Google-backed Moon robot teams confirmed

Buzz Aldrin by Apollo 11 landerThe Lunar X-Prizes support Nasa’s efforts to reduce the costs of space exploration

The final line-up of teams competing for the $30 million (£18.5m) robotic Moon-explorer prize has been confirmed.

The prize will go to the builders of the first robot to send back video as it travels over 500 metres of the Moon’s surface.

Competition organisers hope to spur the development of low-cost robotic space exploration.

The Google-sponsored Lunar X-Prize will be fought over by 29 teams from 17 different countries.

Organisers believe that the competition - first announced in 2007 - could have a winner by 2015.

“The official private race to the Moon is on,” said Peter Diamandis, chief executive of the X-Prize Foundation.

The teams come from a wildly divergent background, ranging from non-profit consortia and university groups to well-funded businesses.

Robotic explorers

Several of the teams have already bought rides on spacecraft to transport their robots.

Astrobotic Technology, a spin off-off from Carnegie Mellon University has signed a deal with SpaceX - the private space company set up by PayPal founder Elon Musk - to use its Falcon 9 rocket.

Meanwhile, government-backed space agencies are also planning to send craft to the Moon.

Spacecraft from a joint Russian and Indian team and a separate one from China are pencilled to set off for the Moon in 2013.

But the X-Prize’s backers think the future of space exploration will be driven by privately-funded groups.

“The most successful and revolutionary discoveries often come from small, entrepreneurial teams,” said Tiffany Montague, of Google Space Initiatives.

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DARPA-funded Nano Hummingbird spybot takes flight (video) -- #nwo #spying #robotics

We were plenty impressed when we saw the initial tests of AeroVironment’s robo-hummingbird — now officially dubbed the Nano Hummingbird — but we can’t say they quite prepared us for the final product that the DARPA-funded company is now showing off. Not only does the bot look and fly like a real hummingbird (at least if you don’t look too closely), but it packs a built-in camera and a downlink of some sort that’s capable of transmitting live video. According to the company, the hummingbird’s also able to hover for up to eight minutes, reach speeds of eleven miles per hour in forward flight, and remain stable in wind gusts of five miles per hour — not to mention make a perfect landing. Head on past the break to check it out in action — it may well be one of the few chances you’re actually able to see one in the wild.

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Video: Robots Now Guarding Nevada Nuke Site

*facepalm*

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.:[ h4x0r3d approves ]:.

  • Video via wombatattack
    Video

    Alan Watts on Music & Life

    Video via wombatattack
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    sinidentidades:

    Decolonization in my heart and my machete

    Photo via danceforthatanarchy
  • Quote via anukkinearthwalker
    “there can never really be justice on stolen land”
    —

    KRS-One

    hello america.

    hello israel.

    Quote via anukkinearthwalker
  • Photo via thinksquad
    Photo via thinksquad
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