Papers
6
Total Citations
62
H-Index
3
About
Wen Li is a multidisciplinary robotics and sensing researcher whose work spans soft robotics, underwater locomotion, and advanced flexible sensor technologies. His most recognized contribution lies in soft robotic manipulation, where his 2018 paper on inverse kinematics for three-dimensional soft robotic arm motion — now with 25 citations — established a foundational framework for enabling safer, more adaptable underwater manipulation systems. Complementing this, his 2011 investigation into robotic fish hydrodynamics using force-feedback techniques (22 citations) demonstrated a sophisticated experimental methodology for studying self-propelled aquatic locomotion, bridging biological inspiration with precision engineering. Beyond locomotion, Li has made meaningful strides in miniaturized sensing technology. His origami-inspired millimeter-scale soft sensor (2022) addresses a critical gap in multi-axis force perception for small-scale robots, while his work on stretchable strain sensors, laser-induced graphene multimodal sensors, and carbon nanotube artificial skin collectively reflects a sustained commitment to expanding the perceptual capabilities of intelligent robotic systems. This breadth — from macro-scale underwater robots to millimeter-scale tactile sensors — positions Li as a versatile contributor to the emerging field of bio-inspired and soft robotics, with growing relevance for researchers exploring next-generation human-robot interaction and environmental sensing.
Research Focus
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Top Papers
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