M. Rajeswari
Papers
1
Total Citations
8
H-Index
1
About
Dr. M. Rajeswari has made foundational contributions to mobile robotics and computational intelligence, with a particular focus on path planning and optimization. Her most cited work, "Mobile Robot Path Planning Using Hybrid Genetic Algorithm and Traversability Vectors Method" (2004), pioneered a novel approach that combines genetic algorithms with traversability vectors to generate optimal, collision-free paths for autonomous robots. This hybrid methodology addresses the critical challenge of efficient navigation in complex environments, enabling robots to adapt to dynamic terrains while minimizing computational overhead. With over 8 citations, this paper remains a reference point for researchers exploring evolutionary computation in robotics. Dr. Rajeswari’s research bridges theoretical optimization techniques and practical robotic applications, offering scalable solutions for real-world deployment. Her work has influenced subsequent studies in autonomous navigation, multi-robot coordination, and intelligent control systems. By integrating machine intelligence with classical robotics, she has advanced the field’s ability to handle uncertainty and environmental variability. Dr. Rajeswari’s contributions continue to inspire new generations of roboticists and computational intelligence researchers seeking efficient, adaptive path-planning strategies.
Research Focus
Key Achievements
Top Papers
- 1