How Robots Learned to Walk: From Hand-Engineered Control to Reinforcement Learning
Is legged locomotion actually a solved problem? In this episode of RobTalk, Felix Frank from our Robot Intelligence team explains how legged robots learn to walk, and why going from an impressive stage demo to a reliable real-world deployment is still one of the hardest open problems in robotics.
You'll gain insights into:
Why footstep planning used to mean months of hand-engineered optimization
How GPU-parallelized simulation and domain randomization changed the entire approach
What retargeting means, and why human motion data now trains robot policies
The difference between imitation…
The skinny
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