Senthil Kumar Natarajan
Papers
5
Total Citations
56
H-Index
4
About
Senthil Kumar Natarajan is a robotics and autonomous systems researcher whose work centers on intelligent motion planning and control algorithms for mobile robots and robotic manipulators. He is best known for his pioneering contributions to sampling-based path planning, particularly his innovative enhancements to the Rapidly Exploring Random Tree (RRT*) framework. His landmark developments include goal-oriented and directional sampling strategies that significantly improve convergence rates and solution quality in cluttered, complex environments — challenges that are fundamental to real-world autonomous navigation. His most cited work, a global path planning algorithm published in 2022, has attracted 20 citations and introduced improved initial cost solutions that advance the state of the art in mobile robot navigation. Subsequent contributions in 2023 further refined these methods, collectively garnering over 50 citations across his key publications. Beyond path planning, Natarajan has explored adaptive control of robot manipulators under uncertain dynamics, employing hardware-in-the-loop simulation techniques for trajectory tracking. His research consistently bridges theoretical algorithmic development with practical autonomous systems applications, making meaningful contributions to the growing field of ambient intelligence and autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5