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20222026
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cs.RO2026

Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies

Fangyuan Wang, Peng Zhou, Jiaming Qi +4

Vision-language-action (VLA) models typically inject proprioception only as a late conditioning signal, preventing robot state from grounding instruction understanding or directing…

cs.RO2025

Phy-Tac: Toward Human-Like Grasping via Physics-Conditioned Tactile Goals

Shipeng Lyu, Lijie Sheng, Fangyuan Wang +5

Humans naturally grasp objects with minimal level required force for stability, whereas robots often rely on rigid, over-squeezing control. To narrow this gap, we propose a human-i…

cs.RO2025

HuBE: Cross-Embodiment Human-like Behavior Execution for Humanoid Robots

Shipeng Lyu, Fangyuan Wang, Weiwei Lin +3

Achieving both behavioral similarity and appropriateness in human-like motion generation for humanoid robot remains an open challenge, further compounded by the lack of cross-embod…

cs.RO2025

Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation

Fangyuan Wang, Shipeng Lyu, Peng Zhou +3

Enabling humanoid robots to perform long-horizon mobile manipulation planning in real-world environments based on embodied perception and comprehension abilities has been a longsta…

cs.RO2022

Predict the Rover Mobility over Soft Terrain using Articulated Wheeled Bevameter

Wenyao Zhang, Shipeng Lv, Feng Xue +3

Robot mobility is critical for mission success, especially in soft or deformable terrains, where the complex wheel-soil interaction mechanics often leads to excessive wheel slip an…