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.

My current research focuses on adaptable approaches to provably safe control and human-robot interaction. I used to work on connected and automated vehicles with both hardware (e.g., Lincoln MKZ platform) and software (e.g., auto map generation for Carla).

Email  /  CV  /  Google Scholar  /  Github

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News
  • 2024/01/22: Three papers accepted to ACC 2024.
  • 2023/06/01: Our paper at ICRA 2023 won the Outstanding Interaction Paper award!
  • 2023/04/20: One paper accepted to IV 2023.
  • 2023/04/20: One paper accepted to RA-L.
  • 2023/01/16: One paper accepted to ICRA 2023.
  • 2022/12/02: Our paper at CPHS22 won the best student paper award.
  • 2022/08/15: One paper accepted to 4th IFAC Workshop on Cyber-Physical & Human-Systems, 2022.
  • 2022/07/01: Presented at RSS22 workshop in Close-Proximity HRC.
  • 2022/06/30: One paper accepted to IROS 2022.
  • 2022/05/03: One paper accepted to AIM 2022.
  • 2022/04/07: One paper accepted to ISFA 2022.
  • 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

See the following list for my work, with the latest on top.

pic Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend
Rui Chen, Weiye Zhao, Changliu Liu
American Control Conference, 2024
pic Safety Index Synthesis with State-dependent Control Space
Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
American Control Conference, 2024
[arXiv]
pic Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands
Rui Chen, Alvin Shek, Changliu Liu
IEEE Robotics and Automation Letters, 2023
[paper][arXiv]
pic Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning
Anirudh Chari, Rui Chen, Changliu Liu
IEEE Intelligent Vehicles Symposium, 2023
[arXiv]
pic Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method
Alvin Shek, Rui Chen, Changliu Liu
IEEE International Conference on Robotics and Automation (ICRA), 2023
[arXiv]
pic A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion
Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
[paper]
pic Task-Agnostic Adaptation for Safe Human-Robot Handover
Ruixuan Liu, Rui Chen, Changliu Liu
4th IFAC Workshop on Cyber-Physical & Human-Systems, 2022
Best student paper award
[arXiv]
pic Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots
Ruixuan Liu, Rui Chen, Yifan Sun, Yu Zhao, Changliu Liu
IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2022
[paper]
pic Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm
Ruixuan Liu, Rui Chen, Changliu Liu
International Symposium on Flexible Automation (ISFA), 2022
[paper]
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]