Kousik Sarkar
Papers
1
Total Citations
4
H-Index
1
About
Kousik Sarkar is a researcher focused on autonomous robotics and computational intelligence, with a particular emphasis on path planning and optimization for mobile robots. His most-cited work, "Path Planning of Mobile Robots Using Enhanced Particle Swarm Optimization" (2021), addresses a critical challenge in robotics: enabling autonomous agents to navigate dynamic environments safely and efficiently. By refining particle swarm optimization algorithms, Sarkar has contributed to more robust, collision-free navigation strategies that balance computational efficiency with real-world applicability. This work has garnered 4 citations, reflecting its relevance in the growing field of mobile robotics and swarm intelligence. Sarkar’s research sits at the intersection of evolutionary optimization and autonomous systems, offering practical solutions for industrial automation, service robotics, and intelligent transportation. His contributions are particularly valuable for students and researchers seeking to understand how metaheuristic algorithms can be adapted for real-time robotic control. As autonomous systems continue to expand into everyday life, Sarkar’s work provides foundational insights into making robots smarter, safer, and more autonomous.
Research Focus
Key Achievements
Top Papers
- 1