2 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
Learning Versatile Humanoid Manipulation with Touch Dreaming
Yaru Niu, Zhenlong Fang, Binghong Chen +8
Humanoid robots promise general-purpose assistance, yet real-world humanoid loco-manipulation remains challenging because it requires whole-body stability, end-effector dexterity,…
Cognition to Control - Multi-Agent Learning for Human-Humanoid Collaborative Transport
Hao Zhang, Ding Zhao, H. Eric Tseng
Effective human-robot collaboration (HRC) requires translating high-level intent into contact-stable whole-body motion while continuously adapting to a human partner. Many vision-l…
Interaction-Aware Whole-Body Control for Compliant Object Transport
Hao Zhang, Yves Tseng, Ding Zhao +1
Cooperative object transport in unstructured environments remains challenging for assistive humanoids because strong, time-varying interaction forces can make tracking-centric whol…
HALO: Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization
Hao Zhang, Yaru Niu, Yikai Wang +2
To improve generalization and resilience in human-robot collaboration (HRC), robots must contend with diverse combinations of human behaviors and contexts, motivating multi-agent r…
REFINE: Reachability-based Trajectory Design using Robust Feedback Linearization and Zonotopes
Jinsun Liu, Yifei Shao, Lucas Lymburner +7
Performing real-time receding horizon motion planning for autonomous vehicles while providing safety guarantees remains difficult. This is because existing methods to accurately pr…