Rui Chen

I am a Ph.D. student in the Robotics Institute at CMU, advised by Dr. Changliu Liu. I received my master's degree in Electrical & Computer Engineering and bachelor's degree in Computer Engineering from the University of Michigan, Ann Arbor. I also recieved a bachelor's degree in ECE from the Joint Institute at Shanghai Jiao Tong University.

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News
  • 2022/01/28: Demonstrated lab work to the U.S. President at Mill 19. [CMU news]
  • 2021/11/01: One peper accepted to Bayesian Deep Learning workshop, NeurIPS.
Research

I focus on applying optimization-based motion planning and machine learning algorithms to human-robot interaction and manufacturing. See the following list for my work, with the latest on top.

pic Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands
Rui Chen, Alvin Shek, Changliu Liu
Submitted to IEEE Transactions on Robotics, 2021
[arXiv]
pic Latent Goal Allocation for Multi-Agent Goal-Conditioned Self-Supervised Imitation Learning
Rui Chen*, Peide Huang*, Laixi Shi*
NeurIPS Workshop on Bayesian Deep Learning, 2021
[paper]
pic How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach
Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao
IEEE Transactions on Intelligent Transportation Systems, 2021
[paper][arXiv]
pic GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments
Xiaotong Chen, Rui Chen, Zhiqiang Sui, Zhefan Ye, Yanqi Liu, R. Iris Bahar, Odest Chadwicke Jenkins
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
[paper][arXiv][video]
pic Active Learning for Risk-Sensitive Inverse Reinforcement Learning
Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao
arXiv, 2019
[arXiv]