Lichao Wang

China Academy of Railway Sciences, Donghua University

Papers

Total Citations

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About

Lichao Wang’s research lies at the intersection of robotics, biomechanics, and smart materials, with a focus on enhancing system resilience and human-machine compatibility. His major contributions include developing a velocity planning buffer control method for falling robots, which leverages a foot–ground contact mechanics model and virtual model-based active flexible control to reduce impact on leg joints and electronic components. This work, cited 5 times since 2023, addresses a critical challenge in legged robot safety and durability. Wang also pioneered a self-healing, Na⁺-sensitive, and neuron-compatible fiber, published in 2020 with 3 citations, which demonstrates his versatility in creating adaptive materials for neural interfaces. This fiber’s ability to sense sodium ions and self-repair opens new possibilities for bio-integrated electronics. Wang’s interdisciplinary approach—combining mechanical modeling, control theory, and material science—positions him as an emerging innovator in robotics and smart materials. His work not only advances robotic locomotion safety but also bridges the gap between synthetic systems and biological tissues, offering promising pathways for prosthetics and neural engineering.