Why So Many Robots Struggled With the DARPA Challenge
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.
I am a robot sent from the future to ask you to open this bag of potato chips for me.
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?
If video games influenced behavior the Pac Man generation would be eating pills and running away from their problems.
Does everyone forget the DARPA Grand Challenge from 2004? 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.
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...
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?...
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?...
I was also very much impressed the first time I saw what Deepmind had done:
https://www.youtube.com/watch?...
New things are always on the horizon
http://www.eecs.umich.edu/eecs...
More detailed videos of how the challengers performed are available on the DARPAtv YouTube channel:
https://www.youtube.com/user/D...
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).
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.
Its the software thats make or break for this task and software to accomplish this sort of thing is incredibly hard to write.
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.
Have gnu, will travel.
Robotics isn't a terribly difficult challenge for electrical engineering. Most of the sensor and motor control stuff is pretty much plug and play at this level.
Have gnu, will travel.
Any day now...
This Sig does not Exist.
Apple isn't stupid enough to invest a ton of R&D in this yet.
They'll wait for someone to make a clunky but functional prototype that still has some usability issues first, and then make a pretty and easier to use version of that. Then they'll let their marketing machine convince their fan base that it's the most revolutionary thing since... well... the last Apple product that came out.
Apple is really good at this. They did it laptops, then smartphones, then tablets, and most recently smartwatches (although that one still needs some work).
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.