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20242026
most citedLearning 2D Invariant Affordance Knowledge for 3D Affordance Grounding

6 citations · 6 across the 8 of their papers we have counts for

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10 papers · 1 filter

cs.RO2026

RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting

Yucheng Xin, Jiacheng Bao, Yubo Dong +5

Humanoid robots have demonstrated impressive motor skills in a wide range of tasks, yet whole-body control for humanlike long-time, dynamic fighting remains particularly challengin…

cs.RO2026

Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot

Yucheng Xin, Jiacheng Bao, Haoran Yang +6

The integration of imitation and reinforcement learning has enabled remarkable advances in humanoid whole-body control, facilitating diverse human-like behaviors. However, research…

cs.RO2026

PhyGile: Physics-Prefix Guided Motion Generation for Agile General Humanoid Motion Tracking

Jiacheng Bao, Haoran Yang, Yucheng Xin +7

Humanoid robots are expected to execute agile and expressive whole-body motions in real-world settings. Existing text-to-motion generation models are predominantly trained on captu…

cs.RO2026

ZeroWBC: Learning Natural Whole-Body Humanoid Interaction from Human Egocentric Data

Haoran Yang, Jiacheng Bao, Yucheng Xin +5

Achieving versatile and natural whole-body humanoid interaction control remains challenging due to the high cost of whole-body teleoperation data. We present ZeroWBC, a teleoperati…

cs.RO2026

Closed-Loop Action Chunks with Dynamic Corrections for Training-Free Diffusion Policy

Pengyuan Wu, Pingrui Zhang, Zhigang Wang +3

Diffusion-based policies have achieved remarkable results in robotic manipulation but often struggle to adapt rapidly in dynamic scenarios, leading to delayed responses or task fai…

cs.RO2025

Hume: Introducing System-2 Thinking in Visual-Language-Action Model

Haoming Song, Delin Qu, Yuanqi Yao +9

Humans practice slow thinking before performing actual actions when handling complex tasks in the physical world. This thinking paradigm, recently, has achieved remarkable advancem…