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Home/Authors/Chenyang Ma

Chenyang Ma

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Robotics×3AI×1

Frequent co-authors

Sikai Li2×
Zhenyu Wei2×
Yunchao Yao2×
Mingyu Ding2×
Ruogu Li1×
Haochen Shi1×

Research Timeline

2026
FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model

This paper introduces FurnitureVLA, a systematic study of real-scale bimanual furniture assembly using Vision-Language-Action models, improving simulation success from 48% to 80% and reducing errors.

DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation

The paper introduces DexVerse, a large-scale and modular benchmark for dexterous manipulation with 100 tasks, 3 robot arms, 6 hands, and configurable visual variations.

Handroid: Bridging Dexterous Hand and Humanoid

A single robot platform, Handroid, is introduced that can function as both a dexterous hand and a humanoid robot, with interchangeable control and learning frameworks.

Highlighted terms show continued research focus across papers

Papers

cs.ROEmpiricalRecentJul 17, 2026

Handroid: Bridging Dexterous Hand and Humanoid

Ruogu Li, Chenyang Ma, Sikai Li, Zhenyu Wei +5 more

A single robot platform, Handroid, is introduced that can function as both a dexterous hand and a humanoid robot, with interchangeable control and learning frameworks.

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cs.ROEmpiricalRecent
Jul 9, 2026

DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation

Yunchao Yao, Zhuxiu Xu, Tianqi Zhang, Zixian Liu +11 more

The paper introduces DexVerse, a large-scale and modular benchmark for dexterous manipulation with 100 tasks, 3 robot arms, 6 hands, and configurable visual variations.

View →
cs.ROcs.AIEmpiricalRecentJul 1, 2026

FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model

Chenyang Ma, Yue Yang, Radu Corcodel, Siddarth Jain +3 more

This paper introduces FurnitureVLA, a systematic study of real-scale bimanual furniture assembly using Vision-Language-Action models, improving simulation success from 48% to 80% and reducing errors.

View →