Zhefan Lin
Papers
1
Total Citations
1
H-Index
1
About
Zhefan Lin is a pioneering researcher in robotics and autonomous systems, with a focus on trajectory planning, digital twin technology, and safe manipulation for multi-degree-of-freedom robotic arms. His most cited work introduces a novel approach to configuration space (C‑space) trajectory planning by leveraging large-scale digital twin parallelism and a safety-prioritisable optimal search algorithm. This method, which uses GPU‑based parallelism to map complex obstacle-laden environments, significantly enhances the efficiency and safety of robotic arm motion in real-world tasks. Although his work is early in its citation impact, with one citation to date, the innovative integration of digital twins and parallel computing positions Lin as an emerging leader in scalable, safe robotics. His contributions are particularly relevant for industrial automation and human-robot collaboration, where real-time, collision-free path planning is critical. Lin’s research promises to advance the field by enabling robots to operate more intelligently and safely in dynamic, cluttered spaces.
Research Focus
Key Achievements
Top Papers
- 1