Papers
6
Total Citations
38
H-Index
3
About
Lei Lu is a researcher whose work spans two dynamic and intersecting fields: wearable robotic systems and industrial robot precision manufacturing. His most influential contribution to date examines force control in underactuated hydraulic exoskeletons, addressing the complex biomechanical constraints imposed by human wearers — a paper that has garnered 20 citations since its 2021 publication and represents a meaningful advance in assistive robotics for load-bearing applications. Beyond exoskeletons, Lu has built a substantial body of work focused on improving the accuracy and intelligence of industrial robotic systems. His research on coordinate measuring machines mounted on 6-DOF robots (10 citations) tackles the critical challenge of automating complex surface measurement, directly benefiting quality control in advanced manufacturing. Further contributions explore trajectory calibration using meta-heuristic algorithms, tool posture optimization for ball-end milling, shaft hole assembly via point cloud recognition, and dexterity-driven pose optimization — collectively pushing the boundaries of robot-assisted precision machining. Lu's research is characterized by a strong emphasis on practical engineering challenges, bridging control theory, kinematics, and real-world manufacturing applications, making his work particularly valuable for researchers and engineers working at the intersection of robotics and smart manufacturing.
Research Focus
Key Achievements
Top Papers
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