Papers
7
Total Citations
568
H-Index
7
About
Haomiao Huang is a leading researcher at the intersection of robotics, control theory, and multi-agent systems, with a particular focus on adversarial and pursuit-evasion problems. His most influential work, "Guaranteed decentralized pursuit-evasion in the plane with multiple pursuers" (146 citations), introduced novel decentralized control strategies for multiple pursuers cooperating to capture a single evader in bounded convex environments, addressing a fundamental challenge in multi-robot coordination. Huang's contributions extend to hybrid reachability analysis for robotic aerial vehicles (126 citations), where he developed systematic approaches for guaranteeing safety in complex nonlinear systems by modeling them as collections of simplified hybrid modes. His work on differential game theory applied to capture-the-flag scenarios (97 and 76 citations) has provided important frameworks for understanding adversarial planning with multiple competing objectives, serving as a proxy for real-world robotic challenges. Additionally, his research on reachability-based synthesis for motion planning under bounded disturbances (61 citations) has advanced robust control strategies for robots operating in uncertain environments. Huang's work has been widely cited across robotics, control, and artificial intelligence communities, establishing him as a key contributor to the theoretical foundations of multi-agent adversarial systems.
Research Focus
Key Achievements
Top Papers
- 1Guaranteed decentralized pursuit-evasion in the plane with multiple pursuers146 citations · 2011
- 2Applications of hybrid reachability analysis to robotic aerial vehicles126 citations · 2011
- 3
- 4Automation-Assisted Capture-the-Flag: A Differential Game Approach76 citations · 2014
- 5
- 6Hybrid Systems in Robotics38 citations · 2011
- 7