Jiabo Li

Nanjing University of Aeronautics and Astronautics, Zhongyuan University of Technology

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About

Jiabo Li’s research lies at the intersection of smart materials and adaptive robotics, with a focus on advancing actuation and control systems. His early work on ionic polymer metal composite (IPMC) actuators introduced a systematic approach to force optimization using orthogonal array methods, directly addressing the critical limitations of low blocking force and environmental sensitivity in these electro-active polymers. This foundational contribution, cited 9 times, has informed the design of more robust micro-robotic actuators and artificial muscles. Building on this expertise, Li has recently pioneered adaptive control strategies for humanoid and rehabilitation robotics. His 2025 paper proposes a radial basis function (RBF) neural network-based adaptive sliding mode controller that elegantly resolves the trade-off between model uncertainty compensation and vibration suppression in lower limb rehabilitation robots. This work, already garnering attention, demonstrates his ability to translate material-level insights into practical, intelligent control systems. Li’s research trajectory—from optimizing actuator materials to developing neural-adaptive control algorithms—showcases a rare depth in bridging hardware and software for next-generation robotic systems.