K. Sundareswari
Papers
1
Total Citations
22
H-Index
1
About
K. Sundareswari is a robotics researcher specializing in intelligent exploration strategies for autonomous systems operating in unknown environments. Her most-cited work, "Intelligent exploration strategy for a mobile robot to reduce the repeated searches in an unknown environment" (2022, 22 citations), introduces a novel approach that significantly enhances the efficiency of mobile robot navigation by minimizing redundant path traversals during environmental mapping. This contribution addresses a critical challenge in autonomous exploration—balancing thorough coverage with time and energy constraints—making it highly relevant for applications in search-and-rescue, planetary exploration, and industrial inspection. Sundareswari’s methodology integrates adaptive decision-making algorithms that enable robots to learn from prior search patterns, thereby reducing computational overhead and improving real-time performance. Her work has been recognized for its practical implications in advancing autonomous systems, and it continues to influence subsequent research on efficient exploration in dynamic, unstructured settings. As a researcher, Sundareswari demonstrates a clear focus on bridging theoretical robotics with tangible solutions for real-world deployment, marking her as a rising contributor to the field of intelligent autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1