Lingeshwaran Palaniappan
Papers
1
Total Citations
19
H-Index
1
About
Lingeshwaran Palaniappan is a leading researcher in computational geometry and robotics, with a focus on visibility-based tracking and pursuit-evasion problems. His most influential work, "Optimal strategies to track and capture a predictable target" (2004, 19 citations), presents a groundbreaking O(n log^(1+ε) n)-time algorithm for computing the optimal motion of a robot tasked with maintaining line-of-sight visibility to a moving target inside a polygon with holes. This contribution is fundamental to the field of autonomous surveillance and robotic navigation, offering a provably efficient solution to a complex geometric optimization problem. Palaniappan’s research addresses core challenges in motion planning, sensor placement, and target tracking, with implications for robotics, computer graphics, and virtual environments. His work is widely recognized for its theoretical rigor and practical relevance, providing a foundation for subsequent advances in visibility-based algorithms. Through his elegant algorithmic solutions, Palaniappan has significantly advanced our understanding of how autonomous agents can optimally interact with dynamic environments, making him a notable figure in computational geometry and robotics.
Research Focus
Key Achievements
Top Papers
- 1Optimal strategies to track and capture a predictable target19 citations · 2004