Yuxin Chen - 陈瑀昕

Hi! I’m a fourth-year Ph.D. candidate at UC Berkeley and a member of BAIR. I’m fortunate to be advised by Prof. Masayoshi Tomizuka, an NAE member in the MSC Lab.

Before Berkeley, I earned an M.S. in Robotics at the University of Michigan, Ann Arbor, where I worked with Prof. Ram Vasudevan, and a B.S. in Aerospace Engineering under Prof. Ella Atkins. I also hold a B.S. in Mechanical Engineering from Shanghai Jiao Tong University.

During my graduate studies, I’ve been fortunate to take on research intern roles at Nvidia, RAI Institute, and MERL, and to collaborate with Google DeepMind and Sony AI. Earlier, I worked as a software intern at Zoox and ZF.

Email  /  CV  /  Google Scholar  /  LinkedIn  /  X  /  Github

profile photo

yuxinc [at] berkeley [dot] edu

News
[Mar 2026] new gif animation I joined Nvidia as a research intern!
[Feb 2026] Gave a talk @ Georgia Institute of Technology LIDAR Group!
[Jan 2026] Two accepted papers (World-Model Predictive Control and Dexterous manipulation) at ICRA 2026!
[Jan 2026] One accepted paper (Mean Flow Policy) at ICLR 2026 as Oral Presentation!
[Jan 2026] Gave a talk @ Shanghai Jiao Tong University Machine Vision and Intelligence Group!
[Aug 2025] Two accepted papers (Loco-manipulation and Human-in-the-loop) at CoRL 2025, with Loco-manipulation as Oral Presentation!
[May 2025] Our paper on Robotic Palletization won ICRA 2025 Best Paper Award in Automation (10/4153)!
[Apr 2025] I won the finalist award in the 2025 Qualcomm Innovation Fellowship !
[Mar 2025] I joined RAI Institute (previously BDAI) as a research intern!

Publication & Preprint

* denotes equal contribution
SAGA: Open-World Mobile Manipulation via Structured Affordance Grounding
Kuan Fang*, Yuxin Chen*, Xinghao Zhu*, Farzad Niroui, Lingfeng Sun, Jiuguang Wang

Under review, 2025
arXiv / Project Page
Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control
Yuxin Chen*, Jianglan Wei*, Chenfeng Xu, Boyi Li, Masayoshi Tomizuka, Andrea Bajcsy, Ran Tian

ICRA, 2026
RSS workshop on OOD, 2025 (Oral, Best Paper Finalist)
arXiv
DexCtrl: Towards Sim-to-Real Dexterity with Adaptive Controller Learning
Shuqi Zhao, Ke Yang, Yuxin Chen, Chenran Li, Yichen Xie, Xiang Zhang, Changhao Wang, Masayoshi Tomizuka

ICRA, 2026
arXiv
Versatile Loco-Manipulation through Flexible Interlimb Coordination
Xinghao Zhu*, Yuxin Chen*, Lingfeng Sun*, Farzad Niroui, Simon Le Cleac'h, Jiuguang Wang, Kuan Fang

CoRL, 2025 (Oral)
RSS workshop on WCBM, 2025
arXiv / Project Page
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
Yuxin Chen*, Chen Tang*, Chenran Li, Ran Tian, Peter Stone, Masayoshi Tomizuka, Wei Zhan

CoRL, 2025
arXiv / Project Page
FDPP: Fine-tune Diffusion Policy with Human Preference
Yuxin Chen, Devesh K. Jha, Masayoshi Tomizuka, Diego Romeres

ICRA, 2025
ICRA workshop on safe VLM, 2025 (Oral)
arXiv
Physics-Aware Robotic Palletization with Online Masking Inference
Tianqi Zhang, Zheng Wu, Yuxin Chen, Yixiao Wang, Boyuan Liang, Scott Moura, Masayoshi Tomizuka, Mingyu Ding, Wei Zhan

ICRA, 2025 (Best Paper Award in Automation)
arXiv / Code
DexH2R: Task-oriented Dexterous Manipulation from Human to Robots
Shuqi Zhao*, Xinghao Zhu*, Yuxin Chen, Chenran Li, Xiang Zhang, Mingyu Ding, Masayoshi Tomizuka

T-MECH, 2025
arXiv
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
Yuxin Chen*, Yicheng Xu*, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura

NeurIPS, 2024
arXiv / Code
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization
Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan

RLC, 2024
AAMAS, 2024
arXiv / Code
These Maps are Made for Walking: Real-Time Terrain Property Estimation for Mobile Robots
Parker Ewen, Adam Li, Yuxin Chen, Steven Hong, Ram Vasudevan

RA-L, 2022
arXiv / Project Page / Code / Video
Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation
Parker Ewen, Jean-Pierre Sleiman, Yuxin Chen, Wei-Chun Lu, Marco Hutter, Ram Vasudevan

ICRA, 2021
arXiv / Video

Experience

Nvidia, Santa Clara, CA

• Research Intern
• Mar. 2026 ~ Present
• Work on Vision-Language-Action Models and World Models for Robotics
RAI Institute (Boston Dynamics AI Institute), Cambridge, MA

• Research Intern
• Mar. 2025 ~ Jul. 2025
• Work on dexterous mobile manipulation
Mitsubishi Electric Research Laboratories, Cambridge, MA

• Research Intern
• May. 2024 ~ Aug. 2024
• Work on generative model on manipulation
Zoox, Foster City, CA

• Software Engineering Intern
• May. 2021 ~ Aug. 2021
• Work on motion planning for L5 robotaxi

Education

UC Berkeley, Berkeley, CA

• PhD in Mechanical Engineering, Robotics & Control (2022 to Present)
University of Michigan, Ann Arbor, MI

• MS in Robotics (2020 to 2022)
• BS in Aerospace (2018 to 2020)
Shanghai Jiao Tong University, Shanghai, China

• BS in Mechanical Engineering (2016 to 2020)

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