MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces
技术动态
来源：arXiv cs.RO发布时间待核实
arXiv:2608.19955v1 Announce Type: new Abstract: 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 locomotion on deformable surfaces remains limited as current simulators fail to capture the spatiotemporal heterogeneity of such yielding substrates.