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About

Anlian Pan is a pioneering researcher at the intersection of biomimetic electronics, optoelectronics, and intelligent robotic systems. His work centers on developing novel materials and devices that emulate biological sensory functions, with a particular focus on mechano-sensing and visual adaptation. Pan’s most notable contribution is the creation of a biomimetic nociceptor using centrosymmetric crystals for machine intelligence, a force-activated sensor that encodes multilevel pain information for smart feedback systems—a breakthrough with 25 citations since 2023. He has also advanced the field of artificial vision with alcohol-sensitive MoS₂ optoelectronic synapses that mimic human-like visual adaptation, and developed cost-effective liquid metal electronics via laser-induced graphene stamps for highly-stretchable integrated optoelectronics. Beyond hardware, Pan explores the frontier of generative intelligence in robotics, proposing large-model agricultural robot systems and swarm robot control frameworks for human-robot symbiotic societies. His interdisciplinary approach—spanning from crystalline nociceptors to AI-driven robot swarms—demonstrates a rare ability to bridge fundamental materials science with cutting-edge applications in soft robotics, wearable electronics, and autonomous systems.