Rashmi Ranjan Sahoo
Papers
1
Total Citations
25
H-Index
1
About
Dr. Rashmi Ranjan Sahoo is a leading researcher in multi-robot systems, swarm intelligence, and evolutionary optimization. His most cited work, "Navigational Path Planning of MultiRobot using Honey Bee Mating Optimization Algorithm 'HBMO'" (2011, 25 citations), introduced a novel bio-inspired approach to solving complex path planning challenges for multiple autonomous agents. By adapting the honey bee mating process to coordinate robot navigation, Dr. Sahoo demonstrated how meta-heuristic algorithms can efficiently handle real-time, multi-objective problems in dynamic environments. This foundational contribution has influenced subsequent studies in swarm robotics and autonomous navigation, bridging the gap between natural optimization processes and engineering applications. His research emphasizes the development of robust, scalable algorithms that enable robots to collaborate without centralized control, a critical advancement for applications in search-and-rescue, industrial automation, and exploration. With a career spanning over a decade, Dr. Sahoo continues to push the boundaries of computational intelligence, earning recognition for his ability to translate biological principles into practical robotic solutions. His work remains a key reference for students and researchers seeking to understand the intersection of evolutionary computation and multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1