M. R. Sumalatha
Papers
1
Total Citations
6
H-Index
1
About
M. R. Sumalatha is a distinguished researcher in robotics and artificial intelligence, with a primary focus on multi-robot systems, task allocation, and optimization algorithms. Her most-cited work, "Route Planning Integrated Multi Objective Task Allocation for Reconfigurable Robot Teams Using Genetic Algorithm" (2018, 6 citations), introduces a novel framework that simultaneously addresses route planning and task allocation for reconfigurable robot teams. By employing a genetic algorithm-based methodology, she achieves multi-objective optimization that minimizes overall task completion time and cumulative robot travel distance—a critical advancement for dynamic, real-world robotic deployments. This integrated approach enables robot teams to adapt their configurations on the fly, enhancing efficiency in complex environments like disaster response or industrial automation. Sumalatha’s contributions bridge the gap between theoretical optimization and practical multi-robot coordination, offering scalable solutions for autonomous systems. Her work has been recognized for its potential to transform collaborative robotics, making her a key figure in the field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1