Scholar
Panpan CAI
Google Scholar ID: MZfL0qUAAAAJ
Associate Professor, Shanghai Jiao Tong University
Citations & Impact
Citations
858
H-index
14
i10-index
16
Publications
20
Co-authors
9
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publication: IEEE Transactions on Robotics, August 2023, 'Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd'
- - Best Paper Finalist at CoRL 2022, 'LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty'
- - Presented at ICRA 2022, 'GAMMA: A General Agent Motion Model for Autonomous Driving'
- - Organized RSS 2021 Workshop, 'Integrating Planning and Learning (WIPL)'
- - Presented at RSS 2021, 'MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic'
Research Experience
- - Associate Professor, Shanghai Jiao Tong University, Aug 2022 – Present, Shanghai, China
- - Senior Research Fellow, National University of Singapore, Dec 2021 – Jan 2022, Singapore
- - Research Fellow, National University of Singapore, Feb 2017 – Dec 2021, Singapore
- - PhD, Nanyang Technological University, Aug 2011 – Dec 2016, Singapore
- - Undergraduate Student, Zhejiang University, Aug 2007 – Jun 2011, China
Education
- - Ph.D. in Robotics, 2016, Nanyang Technological University, Singapore
- - B.Sc. in Computational Mathematics, 2011, ChuKoChen Honors College, Zhejiang University, China
Background
- - Research Interests: Robot planning and decision making, robot learning, integrating planning and learning, autonomous driving in crowded traffic, parallel computing
- - Professional Field: Robotics
- - Biography: Panpan Cai is currently an associate professor at Shanghai Jiao Tong University. Prior to that, he was a postdoctoral research fellow at the National University of Singapore. His research focuses on tackling large-scale decision-making problems in robotics involving complex environments, uncertainties, and long-term planning.
Miscellany
- He has co-lectured graduate-level robotics courses at NUS on sampling-based motion planning, POMDP planning, and robot system architectures.
