Chen Pan

Collaborative Innovation Center of Advanced Microstructures

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About

Chen Pan’s research lies at the dynamic intersection of neuromorphic computing, memristive devices, and autonomous systems. His most significant contribution is the development of a Braitenberg vehicle controlled by a memristive neuromorphic circuit—a pioneering demonstration of how brain-inspired hardware can enable self-adaptive, learning-capable robots. This work, published in 2019 and highlighted in a 2020 feature, has garnered over 27 citations, establishing Pan as a key figure in bridging memristor technology with embodied intelligence. By replacing conventional processors with memristive networks, his vehicle exhibits emergent behaviors such as obstacle avoidance and environmental adaptation without explicit programming. This achievement not only validates memristors as building blocks for efficient neuromorphic processors but also offers a tangible platform for studying bio-inspired control systems. Pan’s work is particularly notable for its conceptual elegance: using the simple Braitenberg vehicle model to demonstrate complex, adaptive responses. For students and researchers, his research provides a compelling entry point into neuromorphic engineering, illustrating how fundamental device physics can translate into autonomous, intelligent behavior.