Papers
3
Total Citations
38
H-Index
3
About
S. Geetha is a leading researcher in mobile robotics, with a focus on autonomous navigation, path planning, and artificial intelligence. Her work addresses the fundamental challenge of enabling robots to operate intelligently in unknown and dynamic environments. Her most influential contribution is a hybrid algorithm for multi-objective mobile robot path planning, which combines Ant Colony Optimization with Genetic Algorithms to simultaneously optimize path length, smoothness, and security—a novel approach that has garnered 23 citations. She has also advanced the field through a comprehensive survey on mobile robot localization and navigation in AI, synthesizing key techniques for robust performance in challenging settings (12 citations). Additionally, Geetha pioneered an intellectual navigation method using reinforcement learning, allowing robots to navigate independently with only a learning signal, reducing the need for complete environmental mapping. Her work bridges optimization, machine learning, and real-world robotics, making significant strides toward autonomous systems that can adapt and perform tasks efficiently.
Research Focus
Key Achievements
Top Papers
- 1Multi objective mobile robot path planning based on hybrid algorithm23 citations · 2011
- 2Mobile Robot Localization and Navigation in Artificial Intelligence: Survey12 citations · 2017
- 3