Papers

12

Total Citations

405

H-Index

8

About

Panpan Cai is a robotics and autonomous systems researcher whose work sits at the intersection of motion planning, decision-making under uncertainty, and autonomous driving. Her research focuses on enabling robots and self-driving vehicles to navigate safely and efficiently in complex, dynamic environments populated by pedestrians and other agents. Cai's most influential contribution is the PORCA framework (2018, 207 citations), a planning system for autonomous driving among crowds that introduced a novel pedestrian motion prediction model integrating both global navigation intent and local collision-avoidance behavior. This work established her as a leading voice in human-aware autonomous navigation. She further advanced the field with HyP-DESPOT (2020, 45 citations), a hybrid parallel algorithm that dramatically improves computational efficiency for online planning under uncertainty — a critical challenge for real-world robotics deployment. Her LeTS-Drive system (2019) pushed boundaries further by combining tree search with learning-based methods to tackle crowded intersection scenarios modeled as partially observable decision problems. More recently, her work on closing the planning–learning loop (2022) reflects a growing interest in tightly integrating planning and machine learning for robust real-time performance. With nearly 400 cumulative citations across her key publications, Cai's research has meaningfully shaped modern approaches to safe, intelligent autonomous navigation.

Research Focus

Key Achievements

8
H-Index
12
Papers
405
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians
207 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: National University of Singapore, Nanyang Technological University, Shanghai Jiao Tong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago