Chang-jun Lin
Papers
2
Total Citations
11
H-Index
2
About
Chang-jun Lin is a robotics researcher whose work centers on trajectory planning and control for industrial manipulators. His key contributions lie in the application of B-spline curves to enhance robotic performance, addressing both accuracy and safety. In his most cited work (2004, 8 citations), Lin introduced a learning control algorithm that uses B-spline functions to significantly improve trajectory tracking in industrial robot arms, combining Global and Local Learning processes to refine motion. Earlier, in a 1995 paper (3 citations), he proposed a novel method for generating collision-free trajectories by optimizing B-spline control points through nonlinear optimization, ensuring safe operation in cluttered environments. While his citation counts reflect focused contributions within a specialized field, Lin's work demonstrates a consistent, methodical approach to solving fundamental challenges in robotics—improving precision and autonomy. His research bridges theoretical curve representation with practical robot motion, offering valuable insights for students and engineers working on advanced control systems or path planning.
Research Focus
Key Achievements
Top Papers
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