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Thread: martial arts robot

  1. #31
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    Fencing a Quadrotor: Dynamic Obstacle Avoidance

    Gene Ching
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    Author of Shaolin Trips
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  2. #32
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    108 Chinese Kung Fu Robots Put on a Show



    Martial arts robots will start with Tai Chi...I'll get worried when they move on to hard styles.
    Gene Ching
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  3. #33
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    Fencing robot



    A robot/ that can fence.
    Gene Ching
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  4. #34
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    Fencing Robot Demo



    A robot that can fence II
    Gene Ching
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  5. #35
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    nunchuk bot


    The Economic Reason We Should Be Worried About Nunchuck Robots
    Dexterous robots signal another change in automation.
    By Alasdair Wilkins on September 20, 2017

    Growing up in Beijing, roboticist Cong Wang had one skill he just couldn’t master: soccer. His high school’s soccer coach had played the sport professionally, yet he struggled to teach Wang how to kick the ball between the posts or even just to stop the ball with his chest.

    “When he was explaining things they were so simple, but when I tried them it was out of my capability, no matter how smart I am,” Wang tells Inverse. “Whatever he taught me, I wouldn’t be able to do it. Because we were physically different. The tricks he was talking about were just beyond my mechanical capabilities.”

    It’s the same basic problem Wang now tries to solve while working in his robotics lab at the New Jersey Institute of Technology. Instead of designing robots that are built to do one task perfectly, he and his fellow researchers want to do to a robot what his soccer coach eventually did for him: teach an entirely new skill to something that wasn’t specifically made to perform it.



    While robots that can master the martial art of nunchaku as proficiently as, say, a talented toddler, might just seem like a mere novelty or set-up to a joke, there’s a lot of real-world application to this technological development, especially when it comes to making manufacturing more efficient.

    For instance, robots that can learn to swivel their arms could open up a new frontier for robotics. Even though dismal forecasts about automation keep coming — in spite the rare bit of good news — developments like the one by Wang and his team signal another step toward more dexterous robots that could take on jobs performed by humans today.

    And as his team describes in a pre-print paper available on arXiv, they decided to teach a robotic hand how to flip nunchucks. Wang and his students learned this relatively basic karate technique, then they used motion-reading sensors to demonstrate all the necessary moves to the robot, so that it could figure out how to replicate it.

    For those unfamiliar with the finer points of martial arts, nunchuck-flipping isn’t something you need to be a karate master to perform.

    “It’s not that challenging,” Wong says. “But it did take me two months myself to learn it.”

    The robot didn’t need quite as much time, he admits.

    “Oh, they’re fast — in hours, they’ll be fine,” he says. “It’s a machine, and they practice hard.”

    While this particular feat might seem a mere novelty — there’s only so much demand for nunchuck-flipping robots, at least for the time being — Wong sees the robot’s ability to learn and handle such unprecedentedly complex tasks means this opens up the final frontier of automation.


    Industrial robots in Germany.

    He points out that the construction of car bodies has been fully robotized since the 1970s, but even today the final interior assembly needs to be done by humans.

    “The tasks require a lot of hand manipulation, a lot of fine motor skills, and a lot of handling of composite objects that are partly soft and partly rigid,” he says, all of which are tasks robots like this are now able to handle. “So our vision is with our technology in the future, those tasks can also be robotized.”

    It’s not that robots couldn’t already do a task like flip nunchucks. As Wong notes, there are already robots that play table tennis, pitch tents, throw darts, run alongside humans, and so on.

    “But the problem is a lot of those works are very case-specific,” he says. “It takes a whole team of researchers years of engineering just to do that particular application. So what we’re thinking is we can transfer human skills on this level to robots.”


    A task simple enough for a human, but not to robots... until now.

    Let’s say you wanted to automate apple picking. It’s a task that might seem relatively straightforward to a human, but Wang says it would take a whole team of Ph.D. researchers to replicate all the precise hand-eye coordination and careful handling of the fruits themselves that go into the task.

    “However, if we can figure out how to teach a robot how to do this level of skills intuitively, just like teaching another human being, it just takes another apple picker to teach the robot,” he says.

    What all that means for the future of human labor remains to be seen — this is the kind of innovation that makes the calls of tech entrepreneurs for a universal basic income seem that much more urgent. But for now, Wang’s robot remains in the lab, ready to add new tricks to its repertoire.

    Photos via Getty Images / Sean Gallup, Getty Images / Matt Cardy, Cong Wang/NJITWritten by Alasdair Wilkins
    martial arts robot and numchuks
    Gene Ching
    Publisher www.KungFuMagazine.com
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  6. #36
    using a drone or robot

    to fight

    is here

    militarily


  7. #37
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    virtual kung fu bots?


    This character learned how to perform various acrobatic feats by observing a human.
    BERKELEY ARTIFICIAL INTELLIGENCE RESEARCH

    Intelligent Machines
    Virtual robots that teach themselves kung fu could revolutionize video games
    Machine learning may make it much easier to build complex virtual characters.
    by Will Knight April 10, 2018

    In the not-so-distant future, characters might practice kung-fu kicks in a digital dojo before bringing their moves into the latest video game.

    AI researchers at UC Berkeley and the University of British Columbia have created virtual characters capable of imitating the way a person performs martial arts, parkour, and acrobatics, practicing moves relentlessly until they get them just right.

    The work could transform the way video games and movies are made. Instead of planning a character’s actions in excruciating detail, animators might feed real footage into a program and have their characters master them through practice. Such a character could be dropped into a scene and left to perform the actions.


    The same algorithm can be used to teach a wide range of challenging physical skills.
    BERKELEY ARTIFICIAL INTELLIGENCE RESEARCH

    “An artist can give just a few examples, and then the system can then generalize to all different situations,” says Jason Peng, a first-year PhD student at UC Berkeley, who carried out the research.

    The virtual characters developed by the AI researcher use an AI technique known as reinforcement learning, which is loosely modeled on the way animals learn (see “10 Breakthrough Technologies 2017: Reinforcement Learning”).

    The researchers captured the actions of expert martial artists and acrobats. A virtual character experiments with its motion and receives positive reinforcement each time it gets a little closer to the motions of that expert. The approach requires a character to have a physically realistic body and to inhabit a world with accurate physical rules.


    JASON PENG | YOUTUBE

    It means the same algorithm can train a character to do a backflip or a moonwalk. “You can actually solve a large range of problems in animation,” says Sergey Levine, an assistant professor at UC Berkeley who’s involved with the project.

    The computer-generated characters in high-budget video games and movies might look realistic, but they are little more than digital marionettes, following a painstakingly choreographed script.

    The animation and computer games industries are already exploring the use of software that automatically adds realistic physics to characters. James Jacobs, CEO Ziva Dynamics, an animation company that specializes in building characters with realistic physical characteristics, says reinforcement learning offers a way to bring realism to behavior as well as appearance. “Up until this point people have been leaning on much simpler approaches,” Jacobs says. “In this case you are training a computation model to understand the way a human or a creature moves, and then you can just direct it, start applying external forces, and it will adapt to its environment.”


    The reinforcement learning process involves making gradual progress—and the odd fall.
    BERKELEY ARTIFICIAL INTELLIGENCE RESEARCH

    The approach could have benefits that go beyond video games and special effects. Real robots may eventually learn to perform complex tasks with simulated practice. A bot might practice putting a table together in simulation, for instance, before trying it in the real world.

    Levine says the robots could end up teaching us some new tricks. “If somebody wants to do some sort of gymnastics thing that nobody has ever tried before, in principle they could plug it into this and there’s a good chance something very reasonable would come out,” he says.


    Will Knight Senior Editor, AI

    I am the senior editor for AI at MIT Technology Review. I mainly cover machine intelligence, robots, and automation, but I’m interested in most aspects of computing. I grew up in south London, and I wrote my first line of code (a spell-binding infinite loop) on a mighty Sinclair ZX Spectrum. Before joining this publication, I worked as the online editor at New Scientist magazine. If you’d like to get in touch, please send an e-mail to will.knight@technologyreview.com.
    Yeah, but can they do a whole form yet?

    THREADS:
    martial arts robot
    Which Colossal Death Robot are you?
    Gene Ching
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  8. #38
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    Moorebot Zeus Battle Robot

    Tabletop battle robot does tai chi, karate
    Is it a video game come to life, an educational toy, or a developer's platform? Yup, says the company behind it.

    By Greg Nichols for Robotics | July 17, 2018 -- 09:13 GMT (02:13 PDT) | Topic: Robotics



    What is it about humans? We see a robot, we immediately want to know how it'll fare in battle against another robot.

    Playing right into that hardwired need is a new home robot from Pilot Labs called the Moorebot Zeus Battle Robot, which is now available on Amazon.

    Living up to its name, the platform was designed to fight other robots. Given what's under the hood, this real-life avatar seems more than capable of fulfilling that primary objective.



    "This might be most competitive fighter and robot athlete in the world," says Jun Ye, CEO of Shenzhen-based Pilot Labs. "From Boxing to Kung Fu to Karate to Robot Olympics."

    At 14 inches and nearly five pounds, this thing is hefty. The humanoid is actuated by 22 metal-geared servo motors, each rated with a 25Kg punch force. The little fighter actually delivers punches at a speed of 150m/sec, meaning it's only a matter of time before someone accidentally gets their teeth knocked in messing around with one of these.

    Although the robot is designed to fight other robots -- and in particular other Zeus robots, since consumers don't have many off-the-shelf battle bot options -- Pilot Labs is also marketing Zeus to hobbyists and developers who might use the robot as a platform for further customization.

    Because you assemble the robot at home, Zeus is also being marketed as an educational toy that can teach kids (the big kind as well as the little ones) about robotics.

    With that fragmented marketing strategy, Pilot Labs could be in for a bumpy launch. The educational robot market is already saturated, with brands like Lego and Wonder Workshop out to solid leads.

    The market for battle robots, meanwhile, isn't well-developed; the hobby remains niche worldwide.

    As a remote controlled humanoid and not an autonomous sensor platform, it's unclear how useful Zeus would be to robotics developers. Considering it costs $1600, vying for customers in any of these three challenging markets would be tough, but tackling all three at the same time seems unwise.

    Still, for unbridled cool factor I'm guessing this robot will gain some early adopters, and it could become an underground hit via YouTube, which might spur sales.

    Zeus operates for about 50 minutes on a charge. It comes preprogrammed with a number of fighting moves, and it can also be customized with an included graphical programming tool.

    THREADS:
    Tai Chi Robot
    martial arts robot
    Gene Ching
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