Papers
6
Total Citations
20
H-Index
3
About
Weigang Li is a robotics researcher whose work spans collaborative robot control, industrial path planning, and autonomous navigation. His primary contributions lie in developing optimization algorithms and adaptive control systems for robotic applications. Li's most impactful work, "Improved whale algorithm and its application in cobot excitation trajectory optimization" (7 citations), advances metaheuristic optimization for collaborative robot trajectory planning. He further demonstrated expertise in multi-objective optimization through "Path planning of spot welding robot based on multi-objective grey wolf algorithm" (4 citations), which introduced a density estimation approach to balance welding length and time. In control systems, Li designed an adaptive PID feedback tracking controller for 6-DOF collaborative robots (3 citations), addressing the limitations of traditional controllers in complex industrial environments. His recent work on adaptive ICP LiDAR odometry (2 citations, 2025) extends his research into mobile robot localization, while his investigations into power cable diagnostics and point cloud-based target recognition showcase interdisciplinary applications. With over 20 citations across his most-cited papers, Li's research demonstrates a consistent focus on practical robotic challenges, from manufacturing efficiency to autonomous navigation, making his work valuable for both industrial robotics and mobile robot researchers.
Research Focus
Key Achievements
Top Papers
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- 3Adaptive PID feedback tracking control for 6-DOF collaborative robot3 citations · 2022
- 4An Adaptive ICP LiDAR Odometry Based on Reliable Initial Pose2 citations · 2025
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