| Aug 05, 2026 |  Bicycle robots are incredibly fast but hard to control. In our recent work, we show that Reinforcement Learning (RL) can solve this issue and unlock a diverse repertoire of dynamic acrobatic behaviors. Our Ultra Mobility Vehicle (UMV) autonomously learns front and lateral table jumps, front flips, kip-ups and kip-downs, wheelies, bunny hops, three-point turns, and long-horizon compositions of these skills through a policy orchestrator; all with RL. Looking forward to hearing your thoughts! For more information, please visit this page. |