AI RESEARCH
LatentMimic: Terrain-Adaptive Locomotion via Latent Space Imitation
arXiv CS.AI
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ArXi:2604.16440v1 Announce Type: cross Developing natural and diverse locomotion controllers for quadruped robots that can adapt to complex terrains while preserving motion style remains a significant challenge. Existing imitation-based methods face a fundamental optimization trade-off: strict adherence to motion capture (mocap) references penalizes the geometric deviations required for terrain adaptability, whereas terrain-centric policies often compromise stylistic fidelity. We