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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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Detaylı Bibliyografya
Asıl Yazarlar: Pan He, Zeang Zhao, Shengyu Duan, Panding Wang, Hongshuai Lei
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2026-02-01
Seri Bilgileri:Frontiers in Robotics and AI
Konular:
Online Erişim:https://www.frontiersin.org/articles/10.3389/frobt.2026.1788395/full
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