Papers
8
Total Citations
151
H-Index
5
About
Haimin Hu is a robotics and control researcher whose work sits at the intersection of safety-critical systems, human-robot interaction, and multi-agent decision-making. He is best known for his influential survey "The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems," which has garnered over 70 citations since its 2024 publication and has become a key reference for researchers navigating the rapidly evolving landscape of safe autonomous systems. A central thread in Hu's research is the challenge of enabling robots to operate safely and efficiently alongside humans under uncertainty. His development of the SHARP framework and implicit dual control approaches — each accumulating roughly 20 citations — reflects his commitment to designing systems that actively reduce uncertainty while preserving safety guarantees, a problem with direct relevance to autonomous driving, collaborative robotics, and beyond. His work on game-theoretic frameworks, including Stackelberg games and nonlinear opinion dynamics, further demonstrates his ability to model complex multi-agent interactions where intent, coordination, and strategy are intertwined. Together, Hu's contributions offer a rigorous yet practical toolkit for building robots that can reason about human behavior, make principled decisions under uncertainty, and remain provably safe — qualities increasingly essential as autonomous systems enter real-world environments.
Research Focus
Key Achievements
Top Papers
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- 5Emergent Coordination Through Game-Induced Nonlinear Opinion Dynamics10 citations · 2023
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