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Interested in making your bipedal robots to be athletes? We summarized our RL work to create robust & adaptive controllers for general bipedal skills. 400m-dash, running over terrains/against perturbations, targeted jumping, compliant walking, not a problem for bipeds now.🧵👇
86,743 просмотров • 2 лет назад •via X (Twitter)
Комментарии: 10

We found that RL can bring robustness and adaptivity for dynamic & real-time bipedal control, but only with a proper formulation. Using a long history of robot I/O, complementing it with a short history, training it end-end, and adding task randomization, are the recipes.

We conducted extensive benchmark and ablation studies in both sim and real to support this. Details are in the paper: Summary video: This work cannot be done without @xbpeng4 @GlenBerseth @svlevine @pabbeel & Koushil

There are more cool videos👇 complete 400m dash: more running: more walking:

Great work! Congratulations!

We should really apply for a #GuinnessWorldRecord with this work. Fastest 400m sprint with a robot.

if the little guy learns to run in lane 1 I think it could run sub 2 in the 400m!

cool

Congrats Zhongyu!!

This is so cool!

🫡🫡

