activity
20232026
most citedLearning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

5 citations · 12 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

BiRoAD: Learning Shared and Role-Adaptive Representations for Bimanual Manipulation

Yan Shen, Yuchen Liu, Feng Jiang +5

Bimanual manipulation requires policies that coordinate two arms while adapting their functional roles to scene geometry, object configuration, and task context. Learning such scen…

cs.RO2026

Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections

Jiafeng Xu, Qi Li, Yan Shen +7

Learning generalist policies for robust bimanual manipulation is bottlenecked by the scarcity of high quality large scale human demonstration data. In this work, we release 1,500 h…

cs.RO2026

LeHome: A Simulation Environment for Deformable Object Manipulation in Household Scenarios

Zeyi Li, Yushi Yang, Shawn Xie +15

Household environments present one of the most common, impactful yet challenging application domains for robotics. Within household scenarios, manipulating deformable objects is pa…

cs.RO2026

BiPreManip: Learning Affordance-Based Bimanual Preparatory Manipulation through Anticipatory Collaboration

Yan Shen, Feng Jiang, Zichen He +5

Many everyday objects are difficult to directly grasp (e.g., a flat iPad) or manipulate functionally (e.g., opening the cap of a pen lying on a desk). Such tasks require sequential…

cs.RO2026

A3D: Adaptive Affordance Assembly with Dual-Arm Manipulation

Jiaqi Liang, Yue Chen, Qize Yu +4

Furniture assembly is a crucial yet challenging task for robots, requiring precise dual-arm coordination where one arm manipulates parts while the other provides collaborative supp…