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About

Dehong Wang is a leading researcher in soft robotics and intelligent control systems, with a focus on bio-inspired locomotion and teleoperation technologies. His work bridges the gap between theoretical control frameworks and practical robotic applications, particularly in challenging environments. Wang’s early contributions include pioneering work on neural network-based control for networked trilateral teleoperation, addressing complex kinematic and dynamic uncertainties—a paper that has garnered 92 citations and laid the groundwork for advanced multi-robot coordination. More recently, he has made significant strides in soft robotics, notably with the development of miniature amphibious robots actuated by rigid-flexible hybrid vibration modules (61 citations), and high-performance twisted nylon actuators for soft robots (12 citations). His research on vibration-induced flow mechanisms for water surface robots and modular reconfigurable underwater robots further demonstrates his innovative approach to locomotion in unstructured environments. Wang’s work on twisted and coiled artificial muscles, with a recent review paper accumulating 23 citations, highlights his role in advancing the field. His achievements include designing compact, efficient robotic systems that overcome traditional limitations in deformation, output force, and environmental adaptability, making him a key figure in next-generation soft and amphibious robotics.