Embodied Intelligence Observer

MulDP:复杂地形四足跑酷导航的多模态扩散策略

Original title: MulDP: Multimodal Diffusion Policy for Autonomous Quadruped Parkour Navigation across Complex Terrains

ResearchAI 88

Source: arXiv cs.ROPublish time unverified

arXiv:2609.03984v1 Announce Type: new Abstract: Quadruped robots have demonstrated impressive agility in parkour locomotion across complex terrains. However, most systems still rely on human intervention for high-level planning, and autonomous parkour navigation remains underexplored. The key challenges include fine-grained velocity regulation, long-horizon anticipatory behaviors, and tight coupling between perception and embodied execution.

MulDP:复杂地形四足跑酷导航的多模态扩散策略 | Embodied Intelligence Observer