Zheng Yan Lin
Papers
1
Total Citations
3
H-Index
1
About
Zheng Yan Lin is a rising researcher in multi-robot systems, with a primary focus on vision-based cooperative motion estimation and autonomous aerial robotics. His most notable contribution, "Optimal Spatial-Temporal Triangulation for Bearing-Only Cooperative Motion Estimation" (2023), addresses a fundamental challenge in cooperative aerial target pursuit: how multiple camera-equipped robots can collaboratively estimate the motion of a target using only bearing measurements. By formulating this as an optimal spatial-temporal triangulation problem, Lin provides a rigorous mathematical framework that improves accuracy and efficiency in dynamic, vision-constrained environments. Though his work is early-stage, with 3 citations to date, it has already attracted attention from researchers working on multi-robot coordination and sensor fusion. Lin’s research bridges theoretical optimization and practical deployment, offering solutions critical for applications like drone swarms, surveillance, and autonomous search-and-rescue. His contributions are particularly valuable for students and engineers seeking to understand how geometric constraints and temporal information can be jointly leveraged for robust state estimation in decentralized systems. As the field of cooperative robotics grows, Lin’s work is poised to influence future designs for bearing-only navigation and target tracking.
Research Focus
Key Achievements
Top Papers
- 1