Alok Chakrabarty
Papers
1
Total Citations
4
H-Index
1
About
Alok Chakrabarty is a robotics researcher whose work centers on autonomous navigation and path planning, with a particular focus on applying evolutionary optimization techniques to mobile robots. His most-cited paper, "Path Planning of Mobile Robots Using Enhanced Particle Swarm Optimization" (2021), addresses a fundamental challenge in robotics: enabling autonomous agents to find collision-free, efficient paths in complex environments. By enhancing the standard Particle Swarm Optimization algorithm, Chakrabarty contributes to making robots more capable of navigating dynamic, real-world settings without human intervention—a critical step for applications in industrial automation, logistics, and service robotics. With 4 citations, this work has already begun to influence subsequent studies in swarm intelligence and motion planning. Chakrabarty’s research sits at the intersection of artificial intelligence and mechanical engineering, offering practical solutions for autonomous systems. His achievements highlight a commitment to advancing the reliability and intelligence of mobile robots, making his work valuable for students and researchers exploring optimization-driven robotics.
Research Focus
Key Achievements
Top Papers
- 1