1 citations · 1 across the 9 of their papers we have counts for
6 papers · 1 filter
KPI: A Promptable Kernel for Physical Interaction on Humanoids
Yikai Wang, Honghao Zhu, Xiao Hu +5
Humanoids now walk, balance and reach with remarkable generality: one whole-body tracking policy follows references from a human, or from an end-to-end policy. That generality trav…
Anticipatory Robot Goalkeeping via Monotone Optimal Stopping
Hao E. Zhang, Ruize Geng, Yisen Li +8
Robots engaged in fast physical interactions often need to act before the intent of another agent is fully known. Anticipatory goalkeeping illustrates this challenge. Waiting provi…
Dynamics-Induced Commitment in Learning-Based Robotic Penalty Kicks
Ruize Geng, Hao E. Zhang, Yisen Li +3
Learning in robotic games is constrained not only by strategic information but also by what the body can still execute. We study this coupling in a hierarchical humanoid-quadruped…
Keep the Future, Drop the Rollout: RIFT for World Action Models
Chushan Zhang, Jinguang Tong, Xuesong Li +2
World action models (WAMs) condition robot actions on predicted futures, but iterative video rollout increases deployment latency. We ask whether action generation requires the evo…
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…
APEX: Learning Adaptive High-Platform Traversal for Humanoid Robots
Yikai Wang, Tingxuan Leng, Changyi Lin +5
Humanoid locomotion has advanced rapidly with deep reinforcement learning (DRL), enabling robust feet-based traversal over uneven terrain. Yet platforms beyond leg length remain la…