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About

Shengming Li is a pioneering researcher at the intersection of soft robotics, energy harvesting, and intelligent sensing systems. His most impactful contribution is the development of a highly shape-adaptive, stretchable energy harvester using conductive liquid, which has garnered 328 citations and laid the foundation for self-powered biomechanical monitoring in deformable electronics. Li has also advanced robotic perception through an ensemble learning method for electronic noses, enabling active olfactory sensing in compact, low-cost platforms. In the domain of robotic manipulation, he introduced a novel approach to instant energy barrier modulation in bistable grippers, achieving compliant triggering alongside powerful grasping—a breakthrough that addresses a longstanding limitation in bistable mechanisms. His work extends to robust localization in dynamic environments, with OC-SLAM for steady tracking and mapping, and a multi-sensor fusion system for small-scale biomimetic robots operating in low-light conditions. Li’s research portfolio demonstrates a rare ability to bridge fundamental mechanics with practical robotics, making him a leading voice in creating adaptive, energy-efficient, and perceptive robotic systems for real-world applications.