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Personal Info
Chenyang Ma [1]
Graduate Student
Department of Computer Science
University of North Carolina at Chapel Hill
Bio
I am a third-year Ph.D. student at the University of North Carolina at Chapel Hill, working with Daniel Szafir and Mingyu Ding. Previously, I was a researcher at the Center for Automotive Research (CAR) at The Ohio State University, working with Wei-Lun (Harry) Chao. I got my M.S. and B.Eng. degrees from The Ohio State University and Nanjing University of Posts and Telecommunications (NUPT).
My research sits at the intersection of multimodal sensing and robot learning, with a specific focus on leveraging heterogeneous signal integration to enhance robotic policies.
Alongside my research, I have a long-standing interest in embedded systems and oversee electrical system designs for IDEAL.
News
05/2026 Started my internship at Applied Intuition
01/2025 One paper accepted to HRI 2025
01/2024 One paper accepted to ICLR 2024
08/2023 Started my Ph.D. career at UNC
01/2023 Started my full-time research assistant position at OSU
06/2022 Awarded 2nd overall prize in SAE AutoDrive Challenge II
Publications
Handroid: Bridging Dexterous Hand and Humanoid
Ruogu Li, Chenyang Ma, Sikai Li, Zhenyu Wei, Yunchao Yao, Haochen Shi, C. Karen Liu, Shuran Song, Mingyu Ding
arXiv e-Print
Current as Touch: Proprioceptive Contact Feedback for Compliant Dexterous Manipulation
Chenyang Ma*, Yunchao Yao*, Zhenyu Wei*, Ruogu Li, Daniel Szafir^, Mingyu Ding^
arXiv e-Print
X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets
Prithwish Dan, Chenyang Ma, Wei Zhan
RSS 2026 Workshop
Chenyang Ma, Yue Yang, Bryce Ikeda, Daniel Szafir
HRI 2025
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
ICLR 2024
Projects
Perception System in SAE AutoDrive Competition II
2022
Check out what our Buckeye AutoDrive Team has done in the Inaugural SAE AutoDrive Competition II
LSTTR: LiDAR-guided Stereo Transformer for Per-pixel Depth Estimation
2023
[1] 马尘扬 as of Simplified Chinese
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