T. Mohanraj
Papers
2
Total Citations
6
H-Index
1
About
T. Mohanraj is a researcher specializing in autonomous mobile robotics, with a primary focus on path planning and navigation systems. Their work centers on developing efficient algorithms for robotic motion, particularly through sampling-based path planners. Mohanraj's most significant contribution is their novel approach to accelerating the RRT* (Rapidly-exploring Random Tree) algorithm, a cornerstone of optimal path planning. In their 2025 paper, which has already garnered 5 citations, they introduced innovative nonuniform and uniform sampling techniques that significantly enhance convergence speed while maintaining asymptotic optimality—a critical advancement for real-time autonomous navigation. This work addresses fundamental challenges in generating collision-free paths efficiently between start and goal locations. Additionally, Mohanraj has explored practical implementations through ROS-based evaluations of SLAM algorithms and autonomous navigation for mecanum wheeled robots (2023), demonstrating their ability to bridge theoretical algorithm development with real-world robotic systems. Their research is particularly relevant for students and researchers working on autonomous vehicles, mobile robotics, and motion planning, offering both theoretical insights and practical validation of advanced path planning methodologies.
Research Focus
Key Achievements
Top Papers
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- 2