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20242026
most citedObject-Centric Dexterous Manipulation from Human Motion Data

2 citations · 2 across the 5 of their papers we have counts for

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cs.RO2026

System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games

Guangyu Zhao, Ceyao Zhang, Chengdong Ma +16

Long-horizon tabletop games pose a distinct systems challenge for robotics: small perceptual or execution errors can invalidate accumulated task state, propagate across decision-ma…

cs.RO2026

DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation

Jiayuan Zhang, Ruihai Wu, Haojun Chen +5

Knotting plastic bags is a common task in daily life, yet it is challenging for robots due to the bags' infinite degrees of freedom and complex physical dynamics. Existing methods…

cs.RO2026

CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation

Huayue Liang, Ruochong Li, Yaodong Yang +3

High-quality teleoperated demonstrations are a primary bottleneck for imitation learning (IL) in dexterous manipulation. However, haptic feedback provides operators with real-time…

cs.RO2025

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

Kefei Zhu, Fengshuo Bai, YuanHao Xiang +8

Dexterous manipulation is critical for advancing robot capabilities in real-world applications, yet diverse and high-quality datasets remain scarce. Existing data collection method…

cs.RO2025

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

Yifan Zhong, Fengshuo Bai, Shaofei Cai +11

The remarkable advancements of vision and language foundation models in multimodal understanding, reasoning, and generation has sparked growing efforts to extend such intelligence…

cs.RO2025

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes

Zeyuan Chen, Qiyang Yan, Yuanpei Chen +6

Dexterous grasping in cluttered scenes presents significant challenges due to diverse object geometries, occlusions, and potential collisions. Existing methods primarily focus on s…