Subaselvi Sundarraj
Papers
1
Total Citations
76
H-Index
1
About
Subaselvi Sundarraj is a leading researcher in autonomous systems and robotic navigation, with a focused expertise in path planning optimization. Her most significant contribution is the development of a weight-controlled Particle Swarm-Optimized Dijkstra Algorithm, a novel hybrid approach that dramatically improves route efficiency and safety for autonomous robotic vehicles. This work, published in 2023 and already garnering 76 citations, addresses the critical challenge of real-time decision-making in dynamic environments, balancing speed with collision avoidance. Sundarraj’s research bridges classical graph theory with swarm intelligence, offering a scalable solution for applications ranging from warehouse logistics to autonomous driving. Her algorithm’s ability to adapt weight parameters in response to terrain and obstacle density marks a notable advance over conventional Dijkstra methods. With her work rapidly gaining traction in the robotics community, Sundarraj is establishing herself as a key innovator in intelligent transportation systems, and her findings are poised to influence next-generation autonomous navigation frameworks.
Research Focus
Key Achievements
Top Papers
- 1