H. Shashikala
Papers
1
Total Citations
3
H-Index
1
About
H. Shashikala’s research centers on robotics and autonomous navigation, with a particular focus on path planning algorithms. Her most notable contribution is a novel approach to robot path planning that improves upon traditional potential field methods. In her 2003 work, she developed a technique that connects all local minima and maxima of a potential function within a robot’s configuration space. By constructing an adjacency graph from these critical points, her method enables more reliable and efficient pathfinding, effectively addressing the common problem of robots getting trapped in local minima. This work, cited 3 times, provides a foundational framework for more robust navigation in complex environments. Shashikala’s research demonstrates a deep understanding of computational geometry and optimization, offering a creative solution to a persistent challenge in mobile robotics. Her contributions are valuable for students and researchers working on autonomous systems, motion planning, and intelligent control, showcasing how theoretical insights can directly enhance practical robotic performance.
Research Focus
Key Achievements
Top Papers
- 1