Bowei He

Vaughn College of Aeronautics and Technology

Papers

Total Citations

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About

Bowei He is a researcher advancing the frontiers of safe and intelligent multi-robot systems and offline imitation learning. His work is distinguished by a bio-inspired approach to emergency response, introducing the concept of a "Collective Conditioned Reflex" that enables robot swarms to react instantly to unforeseen hazards—such as moving vehicles or extreme weather—mimicking the rapid, involuntary reflexes found in animal groups. This framework directly addresses a critical gap in multi-robot safety, offering a mechanism for fast, decentralized reactions without centralized computation. In parallel, He tackles the challenge of learning from suboptimal, reward-free data in robotics. His work on "Offline Imitation Learning with Variational Counterfactual Reasoning" provides a novel method for agents to infer expert behavior from flawed demonstrations, a common real-world constraint. With each of his most-cited papers accumulating 3 citations, He is building a focused, high-impact portfolio that bridges theoretical rigor with practical deployment challenges, establishing him as an emerging voice in resilient autonomous systems.