Yansong Lin
Papers
2
Total Citations
21
H-Index
2
About
Yansong Lin is a researcher at the forefront of intelligent robotics and precision control, with a primary focus on the kinematic optimization of large hydraulic manipulator arms. His work directly addresses a critical challenge in heavy industrial automation: the low end-positioning accuracy of rock drilling manipulators caused by machining errors, gravity, and harsh working environments. Lin’s major contributions lie in developing novel error compensation and inverse kinematics solutions. He pioneered the use of bio-inspired metaheuristic algorithms to optimize neural networks, notably proposing the Improved Secretary Bird Optimization Algorithm (ISBOA) for positioning error compensation and the Adaptive Spider Wasp Optimization (ASWO) for inverse kinematics. These methods significantly enhance the precision of large hydraulic robotic arms, bridging the gap between theoretical models and real-world industrial performance. His most cited papers, from 2024, have already garnered 11 and 10 citations respectively, demonstrating rapid recognition within the field. By integrating advanced optimization with BP neural networks, Lin’s research provides a robust, practical pathway for improving automation in mining and construction, marking him as a rising innovator in intelligent manufacturing and robotic control.
Research Focus
Key Achievements
Top Papers
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- 2