Ph.D. candidate, College of Engineering, Carnegie Mellon University.
M.S. degree, Machine Learning Department, Carnegie Mellon University.
Contact: zuxinl AT andrew DOT cmu DOT eduGithub / Google Scholar / LinkedIn
I am a fourth-year Ph.D. candidate at the Safe AI Lab, advised by Prof. Ding Zhao. I am also fortunate to work with Prof. Bo Li at UIUC, Dr. Huan Zhang and Prof. Steven Wu at CMU. Before that, I finished my bachelor's degree from Beihang University in June, 2019. I also spent a great time in visiting Technische Universität Darmstadt during 2018 winter, where I got my first exposure to robot learning from Prof. Jan Peters.
My research interests include reinforcement learning, robotics, and autonomous vehicle. Particularly, I am interested in how to safely and robustly deploy learning-based decision-making algorithms to real-world safety-critical applications.
News & Updates
Amazon, Lab126 Astro Robot Team. Applied Scientist Intern. 2022 Summer.
Nuro, Inc. Machine Learning Research Intern. Host: Dr. Wei Liu, 2021 Summer.
Dajiang Innovations (DJI) Technology Co., Ltd. Algorithm Engineer Intern, 2017 Summer.
Selected Publications and Preprints
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Zuxin Liu*, Zijian Guo*, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao.
Learning to Explore (L2E): Deep Reinforcement Learning-based Autonomous Exploration for Household Robot
Zuxin Liu, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen.
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li and Ding Zhao.
2022 ICML Safe Learning for Autonomous Driving Workshop (Best Paper Runner-up).
2022 NeurIPS ML Safety Workshop (AI Risk Analysis Award).
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalization
Mengdi Xu*, Zuxin Liu*, Peide Huang*, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao.
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments
Zuxin Liu, Baiming Chen, Hongyi Zhou, Guru Koushik, Martial Hebert and Ding Zhao.
Some Undergraduate Projects
Robot’s Eyes and Brain: Visual Semantic SLAM System, 2018
We developed a visual semantic SLAM system based on orb-slam2 and Mask-RCNN. The robot can build a semantic map for the environment and remember each object's position. With a speech recognition module, we can use voice command to let the robot find a particular object if he has seen before. This project won the first prize in the 2018 International Conference on Optics and Photonics(ICOPEN) 3-D Sensor Application Design Competition (1 out of 20 teams around the world).
VR Multicopter System, 2017
Do you want to fly? Our VR-Multicopter system can help you to experience the feeling of fly. We use a VR device to control orientation of a gimbal that mounted on our multicopter. The stereo camera on the gimbal will send videos back to our VR equipment in real-time. Just move your head and enjoy the view from sky! This project won the first prize in the 2017 International Design and Innovation Competition (1 out of 14 teams around the world).
Autonomous Navigation Robot, 2017
I led a team to build a mobile robot platform which could achieve autonomous navigation and obstacle avoidance based on RTAB-Map SLAM and ROS Navigation Stack. Just with one-click, the robot can autonomously navigate to wherever you want.
Automatic AI Robot System, 2017
This project is designed for ICRA DJI Robotmaster AI challenge. The robots are required to autonomously find enemy robots and hit them (shoot rubber ball). More exciting information and videos about this robot platform and the relevant robot competition can be found here.
Arduino-based Interactive Facial Expression Robot, 2016
This cute robot could make different expressions according to user’s voice command. The movements of its eyes, eyebrow, and mouth etc are fully controlled by servo motors. Most of the materials are 3D printed.
Selected Honors and Awards
 ShenYuan Medal Award (10/4000), Beihang University
[2016&2017&2018] National Scholarship (top 1%), Ministry of Education of the People's Republic of China
[2016&2017&2018] University-level Outstanding Student, Beihang University
 Beijing Outstanding Student, Ministry of Education of Beijing
 28th First prize of the Feng Ru Cup Competition of Academic and Technological Works (top1%), Beihang University
 Dean's Award, Beihang University
[Conference Reviewer] CVPR 2023, ICCV 2023, ICML 2022-2023, NeurIPS 2022 (top reviewer, 8%), AISTATS 2022, ICRA 2020-2023, IROS 2020-2021
[Journal Reviewer] Reviewer for Journal of Field Robotics, IEEE RA-L, IEEE T-KDE, IEEE T-VT, IEEE T-SMC, Autonomous Robots, Pattern recognition
[Program Committee] 2022 ICRA SeasonDepth Challenge, 2022 NeurIPS ML4AD Workshop, 2022 NeurIPS TSRML Workshop, 2023 AAAI UDM Workshop.