Embodied Intelligence Observer

MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces

Research

Source: arXiv cs.ROPublish time unverified

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.

MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces | Embodied Intelligence Observer