Hi, there! Hereβs Xueqian. Iβm currently a second-year master student at UC San Diego, advised by Prof. Xiaolong Wang. Before coming to UC San Diego, I received my B.E. in Artificial Intelligence from Beijing University of Chemical Technology in 2024. My research interests include soft robot design, reinforcement learning and machine learning.
π₯ News
- 2026.02: Β ππ Our paper is accepted to the ICRA 2026!
- 2025.08: Β ππ Our paper is accepted to the CoRL 2025!
- 2025.06: Β ππ Our soft-gripper co-design demo is accepted to the RSS 2025 Workshop!
- 2025.05: Β ππ Homepage has been setup!
π Research
* denotes equal contribution
Learning to Design Soft Hands using Reward Models
International Conference on Robotics & Automation (ICRA), 2026.
Xueqian Bai, Nicklas Hansen, Adabhav Singh, Michael T. Tolley, Yan Duan, Pieter Abbeel, Xiaolong Wang, Sha Yi
Co-Design of Soft Gripper with Neural Physics
Conference on Robot Learning (CoRL), 2025.
[webpage] [arXiv] [code] [hardware] [spotlight]
Sha Yi*, Xueqian Bai*, Adabhav Singh, Jianglong Ye, Michael T. Tolley and Xiaolong Wang
Oct 2023, Sensors
Xiao Wang, Zhaohui Yang, Xueqian Bai, Mingjiang Ji, Hao Li and Dechao Ran
A consistent round-up strategy based on PPO path optimization to track targets.
Jun 2024, Preprint.
Xiao Wang, Xueqian Bai, Zhaohui Yang, Zhe Ma, Kewu Sun, Jiake Li
A new algorithm composed of the integration of expert knowledge and real-time sampled data, and the prediction of evader action.
π Honors and Awards
- 2023.10, National Scholarship (top 1%)
- 2022.10, National Scholarship (top 1%)
- 2021.10, National Scholarship (top 1%)
- 2020.10, School-level Outstanding Student Scholarship (top 1%)
π Educations
- 2024.09 - now, Master Student in Computer Science, University of California, San Diego.
- 2020.09 - 2024.06, Undergraduate Student in Artificial Intelligence, Beijing University of Chemical Technology.
Current GPA: 4.00/4.00
π¬ Invited Talks
- 2024.05, Invited by the Information Science and Technology Department of Beijing University of Chemical Technology, Application of Offline Reinforcement Learning Algorithms.
π» Internships
- 2023.06 - 2023.08, Research Intern, Applied Optimization and Learning. Advisor: Prof. Peter Zhang, Carnegie Mellon University.
- 2022.06 - 2024.05, Research Intern, Multi-agent Reinforcement Learning in Pursuit-Evasion Game. Advisor: Prof. Xiao Wang, Beijing University of Chemical Technology.
- 2023.09 - 2024.04, Research Intern, Distributed Reinforcement Learning Framework, WiseWorker, Beijing, China.