Papers
6
Total Citations
425
H-Index
6
About
Jerry Ding’s research lies at the intersection of robotics, control theory, and multi-agent systems, with a particular focus on adversarial and cooperative decision-making. His most influential work addresses the classic pursuit-evasion problem, where his 2011 paper on guaranteed decentralized pursuit with multiple pursuers (146 citations) provides rigorous, scalable control strategies for capturing evaders in bounded environments. This foundational contribution extends into more complex, real-world scenarios, as demonstrated by his highly-cited differential game approach to capture-the-flag (97 citations), which models the interplay of competing objectives in adversarial multi-robot settings. Beyond game theory, Ding has made significant advances in robust motion planning; his 2011 paper on reachability-based synthesis (61 citations) offers a systematic method for generating feedback policies that guarantee safe robot motion under bounded disturbances. He has also bridged classical control with modern machine learning, exploring deep generative and discriminative models for reactive planning in human-robot collaboration. Collectively, Ding’s work provides a powerful theoretical toolkit for designing autonomous systems that must operate reliably in uncertain, contested, or human-inhabited environments, earning him a reputation for rigorous, application-driven research.
Research Focus
Key Achievements
Top Papers
- 1Guaranteed decentralized pursuit-evasion in the plane with multiple pursuers146 citations · 2011
- 2
- 3Automation-Assisted Capture-the-Flag: A Differential Game Approach76 citations · 2014
- 4
- 5Hybrid Systems in Robotics38 citations · 2011
- 6