Figure 02 – the most advanced AI hardware(twitter.com)
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Figure 02 – the most advanced AI hardware
https://twitter.com/Figure_robot/status/1820791819023909031
9 comments
Googling for "bipedal walking is unstable" returns a plethora of articles whose abstracts suggest that yes, bipedal walking is physically unstable. To quote one [0] of them:
Robust walking on two legs has proven to be one of the most difficult challenges of humanoid robotics. Bipedal walkers are inherently unstable systems that are difficult to control due to the complexity of their full-body dynamics. Aside from the challenge of generating a walking motion itself, closed-loop algorithms are required to maintain the balance of the robot using foot placements and other disturbance-rejection strategies.
[0] https://ieeexplore.ieee.org/document/7029949... I do think "it's unstable" is kind of a non-answer though. Lots of control problems are unstable, right?
For example here's a successful project from 16 years go where Andrew Ng, Pieter Abbeel etc used apprenticeship learning to teach a controller to fly RC helicopters through complex stunts, and they discuss how these flight patterns have to deal with instability, and the controller is eventually doing things very fluidly which humans would struggle to do.
https://www.youtube.com/watch?v=M-QUkgk3HyE
http://heli.stanford.edu/papers/iser04-invertedflight.pdf
So what about bipedal walking is harder than other learned control problems that RL can master (and could handle even on previous generations of tech)?
For example here's a successful project from 16 years go where Andrew Ng, Pieter Abbeel etc used apprenticeship learning to teach a controller to fly RC helicopters through complex stunts, and they discuss how these flight patterns have to deal with instability, and the controller is eventually doing things very fluidly which humans would struggle to do.
https://www.youtube.com/watch?v=M-QUkgk3HyE
http://heli.stanford.edu/papers/iser04-invertedflight.pdf
So what about bipedal walking is harder than other learned control problems that RL can master (and could handle even on previous generations of tech)?
Not to be confused with Figure 1 [0] which you should q.v. in case of any complaints.
[0] https://www.dourish.com/goodies/see-figure-1.html
[0] https://www.dourish.com/goodies/see-figure-1.html
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RafelMri(2)
I understand that bipedal walking is hard, but I don't really understand why. Is it a materials thing? Do you need the right kind of stretchy tendons and ligaments to produce more fluid motion? Is it a sensor thing, about having the right kind of signal to inform control for dynamic balancing? Is it about having a lot of different degrees of freedom in your toes/feet/ankles to achieve balance, which aren't yet feasible in robots?