Chao Huang
Papers
7
Total Citations
88
H-Index
6
About
Chao Huang is a leading researcher in multi-robot systems, cyber-physical security, and intelligent control, whose work bridges theoretical rigor with real-world robotic applications. His most impactful contribution lies in developing game-theoretic and self-learning frameworks for distributed task allocation and coalition formation under uncertainty—critical for deploying robots in hazardous environments. His 2023 paper on game-theoretical task allocation for multiple mobile robots (22 citations) and his 2024 work on self-learning coalition formation (14 citations) have set new standards for scalable, robust multi-robot coordination. In cyber-physical systems, Huang’s game-theoretic approach to optimal injection attacks (20 citations) provides a powerful framework for resource-constrained security, while his distributed localization algorithm using iterative learning (12 citations) addresses real-time positioning under imperfect communication. His earlier work on compliant joint actuators for lower-limb exoskeletons (8 citations) demonstrates his commitment to human-robot interaction. With over 88 total citations across his top papers, Huang’s research is widely recognized for advancing both the theoretical foundations and practical deployment of autonomous systems in safety-critical domains.
Research Focus
Key Achievements
Top Papers
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- 6Design of a compliant joint actuator for lower-limb exoskeleton robot8 citations · 2017
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