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Robotics Technology

Why So Many Robots Struggled With the DARPA Challenge 44

stowie writes: The DARPA Robots Challenge concluded recently, and three teams were given prizes for completing all the tasks. The other robots in the competition struggled — not only were they unable to complete the required tasks, many of them were unable to even stay standing the entire time. So why did these robots have such a hard time? "DARPA deliberately degraded communications (low bandwidth, high latency, intermittent connection) during the challenge to truly see how a human-robot team could collaborate in a Fukushima-type disaster. And there was no standard set for how a human-robot interface would work. So, some worked better than others. The winning DRC-Hubo robot used custom software designed by Team KAIST that was engineered to perform in an environment with low bandwidth. It also used the Xenomai real-time operating system for Linux and a customized motion control framework. The second-place finisher, Team IHMC, used a sliding scale of autonomy that allowed a human operator to take control when the robot seemed stumped or if the robot knew it would run into problems." If nothing else, the competition's true legacy may lie in educating the public on the realistic capabilities of high-tech robots.
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Why So Many Robots Struggled With the DARPA Challenge

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  • by Snufu ( 1049644 ) on Wednesday June 10, 2015 @12:31AM (#49881009)

    I am a robot sent from the future to ask you to open this bag of potato chips for me.

    • I am a robot sent from the future to ask you to open this bag of potato chips for me.

      Relevant Xkcd [xkcd.com]

    • Did you bring dip with your chips?

  • Honest question: In the end does it seem likely robots that succeed at these tasks mostly do so because, as in other DARPA challenges, they're the ones with high-end hardware?
    • In the end does it seem likely robots that succeed at these tasks mostly do so because, as in other DARPA challenges, they're the ones with high-end hardware?

      Today's high-end hardware is tomorrow's commodity hardware.

    • by Viol8 ( 599362 )

      Its the software thats make or break for this task and software to accomplish this sort of thing is incredibly hard to write.

  • by 0100010001010011 ( 652467 ) on Wednesday June 10, 2015 @12:47AM (#49881035)

    Does everyone forget the DARPA Grand Challenge from 2004? [wikipedia.org] The second year (2005) they had 5 vehicles finish. 4 of them within the 10 hour limit.

    In 2007 they had the 'urban challenge'.

    Now we have driverless cars and semis. Google and Uber are poaching a lot of of the grad students and professors from Stanford and Carnegie Mellon.

    • by Jack Griffin ( 3459907 ) on Wednesday June 10, 2015 @02:52AM (#49881223)

      Now we have driverless cars and semis.

      Do we?
      Sure we have a whole bunch of cool stuff in controlled environments, but the nature of a public road is that it is uncontrolled. For some reason a lot of people underestimate how much of a difference there is between the two.

      • Re: (Score:3, Informative)

        by Anonymous Coward

        Google's self-driving cars have logged plenty of time in traffic on public roads, so I don't know where you get the idea that nothing has happened outside of controlled conditions.

        • by Necron69 ( 35644 )

          Perfect California weather on intensely pre-mapped out roads = 'controlled conditions'. When the cars can navigate I70 through the Rockies during a blizzard in heavy ski season traffic, let me know.

          Necron69

          • When the cars can navigate I70 through the Rockies during a blizzard in heavy ski season traffic, let me know.

            When humans can navigate the I70 through the Rockies during a blizzard in heavy ski season traffic, let me know.

          • by jlar ( 584848 )

            Computers do not need to be able to navigate the car in all circumstances for self-driving cars to be useful. I would be happy if they could simply take over when driving on the freeway and warn me when it is time to leave the freeway again.

            The end goal is of course to let the AI control the car at all times. But a more modest start is just fine.

            • Computers do not need to be able to navigate the car in all circumstances for self-driving cars to be useful. I would be happy if they could simply take over when driving on the freeway and warn me when it is time to leave the freeway again.

              So you would buy a robot car knowing it can't handle certain scenarios on the road, then trust it with your life to decide when that is? And you think this will be a big seller?

  • Deep learning (Score:5, Informative)

    by Lennie ( 16154 ) on Wednesday June 10, 2015 @01:27AM (#49881091)

    Yes, I'm sure the DARPA challenge is hard work, but I was much more impressed by how well they were able to apply deep learning for use with robots:
    http://newscenter.berkeley.edu... [berkeley.edu]

    The fastest robot on the DARPA challenge took 45 minutes, look at how fast the robot is in the above video. It's much more close to how a human would do it.

    5 years ago from the same lab they took hours to do things and they were still using very little machine learning in comparison:
    https://www.youtube.com/watch?... [youtube.com]

    And more importantly how close they are to using demonstrations (how about YouTube videos or from other people or robots doing similar tasks) to get robots to learn faster and many more tasks:
    https://www.youtube.com/watch?... [youtube.com]

    I was also very much impressed the first time I saw what Deepmind had done:
    https://www.youtube.com/watch?... [youtube.com]

    • That's what's so great about the DARPA challenge: It reveals the difference between a lab's PR videos and the actual performance of robots they produce. It's not like Berkeley didn't try to score the two million from DARPA. IIRC, they failed. Comically.
    • Dude, that first video is accelerated 50 times!
    • Ah no, damn, I was talking about the second one, which you clearly stated was old.... stupid me.
    • All this technology, but what I really want is a vacuum robot that can do stairs.

  • I had the opportunity to attend an award lecture early this year for one of the researchers working on the core mathematics / feedback control systems for bipedal walking robots. It's the basis for all of the DARPA robots and he covered many of the relevant topics. available here if anyone wants to know more:

    http://www.eecs.umich.edu/eecs... [umich.edu]

  • So... no one took video of the challenges being completed?

  • More detailed videos of how the challengers performed are available on the DARPAtv YouTube channel:

    https://www.youtube.com/user/D... [youtube.com]

    However, it seems that the most interesting one, the Main Program Feed, is blocked in the US due to some kind of copyright issue.

    The DRC Finals Workshop is muted, also due to some kind of copyright issue (which makes it extra pointless since the video is just people talking on stage).

  • by Viol8 ( 599362 ) on Wednesday June 10, 2015 @06:05AM (#49881575) Homepage

    The robots themselves arn't the problem, some of the hardware is fantastic. Its the software - moving a robot around and doing tasks in an unpredictable enviroment with obstacles is a monumentally hard task. Even the human brain takes a number of years to master it from birth so the chances of any one team of programmers suddenly mastering it with a robot is minimal. It'll be a gradual evolution of the software over the years.

  • by jgtg32a ( 1173373 ) on Wednesday June 10, 2015 @09:33AM (#49882447)

    I seem to remember hearing about a robotics club and their slogan was "it is harder than it looks"

  • The winner of the DARPA challenge gets sent inside of a hot, damaged reactor. No thanks. Send the meat bags instead. My maniputator motor was a bit sore this morning.

  • Any day now...

  • From the video it seems like robots and drunk people behave somewhat similar. Or maybe the robots were in fact drunk. We will probably never know.

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