Papers
9
Total Citations
225
H-Index
4
About
Xinlei Li is at the forefront of two transformative fields: soft robotics and advanced manufacturing. Their research pioneers dexterous, bio-inspired soft robots capable of complex locomotion—such as immediate direction changes and shape reconfiguration—achieved through innovative designs like reconfigurable chiral-lattice feet and tendon-driven soft-robotic guns. In parallel, Li has made significant contributions to wire and arc additive manufacturing (WAAM), developing intelligent systems for large-scale metal part production. Their work on fuzzy-logic closed-loop control for forming geometries (71 citations) and multi-robot coordination for deposition path scheduling addresses critical challenges in industrial-scale 3D printing. Li’s impact is evidenced by over 220 total citations across their publications, with their most-cited work on dexterous soft robots (81 citations) showcasing their ability to merge fundamental biomechanics with practical engineering. Notably, they have advanced real-world applications such as sprocket repair and large intersecting line workpiece fabrication, while also integrating cutting-edge technologies like stereo vision and deep learning for robotic trajectory planning. Li’s research exemplifies a rare synergy between soft robotics’ adaptability and manufacturing’s precision, offering transformative solutions for both agile robots and industrial automation.
Research Focus
Key Achievements
Top Papers
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- 3Large-size sprocket repairing based on robotic GMAW additive manufacturing35 citations · 2021
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