activity
20232026
most citedRoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation

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

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Showing 2026Show all

15 papers · 1 filter

cs.RO2026

MoPA: Coordinated Mobile Manipulation via Subsystem-Specific Perception Alignment

Guangyu Chen, Qiwei Liang, Shaolong Zhu +7

Mobile manipulation requires perceptual evidence at different spatial scales for base motion and arm control, while the two action modalities remain kinematically coupled. Existing…

cs.RO2026

Assembling Two Parts in One Hand

Liuao Pei, Tianyue Wu, Hui Zhang +2

A hallmark of human dexterity is the cooperative use of fingers, where different fingers take on distinct yet coordinated roles to accomplish fine manipu- lation, such as capping a…

cs.RO2026

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment

XPolicyLab Community, Tianxing Chen, Yue Chen +67

Robot policy evaluation and deployment remain fragmented by model-specific software dependencies, data representations, and runtime interfaces, so that connecting N policies to M e…

cs.RO2026

SoftVTBench: A Deformation-Aware Visuo-Tactile Dataset and Benchmark for Deformable-Object Manipulation

Bowen Jing, Mingxin Wang, Ruiyang Hao +15

Physical interaction quality is central to deformable-object manipulation, yet most benchmarks evaluate task success alone. A policy may complete the task while allowing slip or ca…

cs.RO2026

SoftVTBench: A Safety-Aware Visuo-Tactile Benchmark for Physically Constrained Robotic Manipulation of Deformable Objects (Early Version)

Bowen Jing, Mingxin Wang, Ruiyang Hao +15

Deformable object manipulation poses challenges beyond task completion: successful execution must also maintain safe physical interaction, holding the object stably without slip or…

cs.RO2026

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels

Xinyu Yang, Tianxing Chen, Honghao Su +38

Embodied intelligence integrates learned perception and decision making with real-time computation, control, and physical interaction. Because failures can cause immediate physical…