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cs.RO2026

Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation

Woo Chul Shin, Zhenyang Chen, Alfred Cueva +5

Visuomotor policies have advanced on manipulation tasks where the target object stays static during execution, but real deployments break this assumption: parts drift on conveyors…

cs.RO2026

Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning

Shuo Cheng, Chuye Zhang, Alfred Cueva +3

Human videos are a scalable source of supervision for robot manipulation, as they are abundant and naturally capture rich object interactions. However, transferring human demonstra…

cs.RO2026

WT-UMI: Tactile-based Whole-Body Manipulation via Force-Supervised Contact-Aware Planning

Jaehwi Jang, Zhaoyuan Gu, Alfred Cueva +15

Whole-body humanoid manipulation of bulky, deformable, and shared-load objects requires distributed contact sensing and explicit force regulation, yet most imitation policies treat…

cs.RO2026

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations

Yangcen Liu, Shuo Cheng, Xinchen Yin +6

Dexterous manipulation is limited by the cost of collecting large-scale robot demonstrations. Egocentric human videos offer a scalable source of diverse manipulation behaviors, but…

cs.RO2026

REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning

Zhaoyuan Gu, Yipu Chen, Zimeng Chai +11

Humanoid loco-manipulation requires coordinated task-space motion planning with stable loco-manipulation command tracking under complex robot-environment dynamics and long-horizon…