K. M. Raseena
Papers
1
Total Citations
22
H-Index
1
About
K. M. Raseena is a researcher in robotics and autonomous systems, with a primary focus on intelligent exploration strategies for mobile robots 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), addresses a critical challenge in autonomous navigation: minimizing redundant exploration while maximizing environmental coverage. By developing algorithms that enable robots to learn from past trajectories and avoid revisiting previously explored areas, Raseena's contributions enhance the efficiency of search-and-rescue missions, environmental monitoring, and industrial inspection. Her research integrates concepts from machine learning, path planning, and sensor fusion to create adaptive exploration frameworks. With 22 citations to date, this paper has influenced subsequent studies in efficient robotic mapping and autonomous decision-making. Raseena's work stands out for its practical applicability in reducing operational time and energy consumption in real-world robotic deployments. Her ongoing efforts continue to push the boundaries of how robots perceive and interact with complex, unstructured spaces, making her a notable voice in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1