Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning
The bipedal wheel-legged robot combines the high energy efficiency of wheeled movement with the terrain adaptability of legged locomotion. However, achieving a smooth transition between these two heterogeneous motion modes within a unified control framework remains challenging. This study proposes a...
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| Hoofdauteurs: | , , , , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2026-02-01
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| Reeks: | Frontiers in Robotics and AI |
| Onderwerpen: | |
| Online toegang: | https://www.frontiersin.org/articles/10.3389/frobt.2026.1788395/full |
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