Papers
2
Total Citations
84
H-Index
2
About
Yuhang Chen is a pioneering researcher at the intersection of multi-robot systems, cybersecurity, and human-robot interaction. His work addresses critical challenges in both the resilience of autonomous networks and the social intelligence of robotic performers. Chen’s most significant contribution lies in resilient cooperative control under cyber threats. His highly cited 2020 paper (78 citations) on double-integrator multi-robot systems established a necessary and sufficient condition for achieving resilient source seeking despite d-local deception attacks, providing a foundational framework for securing autonomous swarms against malicious interference. In a strikingly different domain, Chen also advances socially adaptive robotics. His 2022 study on robotic comedians, which surveyed 20 human comedians and developed a machine learning pipeline for laughter classification, demonstrates how robots can recognize and adapt to human responses during playful dialogue. This work bridges computational social science and robotics, offering design guidelines for more engaging human-robot interactions. Chen’s dual focus—from securing multi-agent systems against deception to teaching robots comedic timing—showcases a rare versatility, making his research equally relevant to defense applications and entertainment technology.
Research Focus
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Top Papers
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