1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.RO2026
MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces
Zeren Luo, Jiahui Zhang, Zhe Xu +6
Enabling robots to walk on yielding terrain is vital for applications ranging from disaster response to planetary exploration. While bipedal robots hold immense potential, their lo…
cs.RO2026
DynaWM: Dynamics-Aware Distillation with World Model and Momentum Targets for Smooth Locomotion over Continuous Stairs
Haidong Hou, Zhangguo Yu, Hengbo Qi +1
Recent advances in control have enabled bipedal-wheeled robots to traverse slopes and single-step obstacles, yet long staircase traversal remains challenging as current teacher-stu…
cs.RO2026★ 1 cited
Robust Fall Recovery for Armless Bipedal-Wheeled Robots Via Force-Guided Learning
Haidong Hou, Zhangguo Yu, Tao Han +6
Fall recovery is critical for autonomous legged locomotion. Existing methods have demonstrated that some legged robots, such as humanoids and quadrupeds, are capable of fall recove…