G. Senthilkumar
Papers
2
Total Citations
22
H-Index
2
About
G. Senthilkumar is a researcher specializing in robotics and autonomous systems, with a primary focus on motion planning, sensor data fusion, and swarm robotics. His most impactful work introduces a novel approach to constructing generalized Voronoi graphs (GVG) using sensor data fusion techniques for online motion planning in robot navigation—a paper that has garnered 16 citations and addresses critical challenges in real-time path planning for autonomous robots. In the domain of swarm robotics, Senthilkumar has contributed foundational insights into foraging behavior analysis, exploring how small, synchronized robots can collectively accomplish tasks such as pattern formation, aggregation, chain formation, and coordinated movement while overcoming obstacles like hole avoidance. His 2018 study on swarm foraging behavior, with 6 citations, provides a systematic analysis of the coordination mechanisms that enable efficient task completion in multi-robot systems. By tackling both individual robot navigation and collective swarm dynamics, Senthilkumar’s work bridges key gaps between sensor integration and distributed robotic control, offering practical solutions for autonomous systems operating in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Foraging behavior analysis of swarm robotics system6 citations · 2018