Humanoid robots operating in unstructured environments must combine robust whole-body control with the ability to perceive and physically interact with surrounding objects. While large-scale human motion data provides powerful priors for natural and versatile humanoid control, effectively transferring such priors to pe...
Anujith Muraleedharan, Abdul Ahad Butt, Nolan Fey et al.· 0 citations
Human motion, environmental contacts, and interaction forces are governed by common physical laws, yet existing approaches typically separate visual pose reconstruction from contact and force estimation. This separation limits joint reasoning and can propagate errors between stages. We introduce PACT, an end-to-end mod...
Rikhat Akizhanov, Yang-Song Zhang, Nikolai Kaliazin et al.· 0 citations
This work introduces MessyKitchens, a new dataset with real-world scenes featuring cluttered environments and providing high-fidelity object-level ground truth in terms of 3D object shapes, poses and accurate object contacts, and builds on the recent SAM 3D approach for single-object reconstruction and extends it with...
J. Ansari, Ran Ding, Fabio Pizzati et al.· arXiv.org· 2 citations· ⚡1
Robots operating in open environments act under partial observability, physical constraints, and dynamic task contexts. Beyond mapping observations and language instructions to actions, they must anticipate how candidate actions may affect future states and task-relevant outcomes. Recent advances in world models, video...
Zu-Xing Lu, Hong-Jia Zhai, Guan-Zhi Wang et al.· 6 citations
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