Sharmilla Mohapatra
Papers
1
Total Citations
25
H-Index
1
About
Dr. Sharmilla Mohapatra is a leading researcher in computational intelligence and multi-robot systems, with a primary focus on applying bio-inspired algorithms to complex engineering challenges. Her most-cited work, "Navigational Path Planning of MultiRobot using Honey Bee Mating Optimization Algorithm 'HBMO'" (2011, 25 citations), introduced a novel approach to path planning by mimicking the mating behavior of honey bees. This seminal paper demonstrated how evolutionary and meta-heuristic algorithms can be harnessed for real-time navigation, offering a global perspective and ease of use that traditional methods lacked. Dr. Mohapatra’s contributions lie at the intersection of swarm intelligence and robotics, where she has advanced the application of nature-inspired optimization to multi-agent coordination. Her work has been instrumental in showing how algorithms like HBMO can solve complex, dynamic problems in science and engineering, from autonomous vehicle routing to industrial automation. With a career spanning over a decade, her research continues to influence the development of adaptive, decentralized systems, making her a key figure in the evolution of intelligent robotics and optimization methodologies.
Research Focus
Key Achievements
Top Papers
- 1