Uday K. Chakraborty

Papers

Total Citations

115

H-Index

About

Uday K. Chakraborty is a leading figure in evolutionary computation and multi-robot systems, whose work has fundamentally advanced the application of nature-inspired algorithms to complex coordination problems. His research centers on differential evolution, swarm intelligence, and distributed optimization, with a particular emphasis on solving real-world robotics challenges. Chakraborty’s most influential contributions lie in cooperative multi-robot path planning, where he pioneered the use of parallel differential evolution algorithms to enable multiple robots to navigate shared environments without collision. His seminal 2009 paper, "Cooperative multi-robot path planning using differential evolution," has garnered over 70 citations, establishing a new paradigm for both centralized and distributed coordination strategies. A companion 2008 study, with 45 citations, further solidified this approach by demonstrating scalable, decentralized solutions. Collectively, his work has been cited over 115 times, reflecting its lasting impact on robotics and optimization research. Chakraborty’s achievements include developing algorithms that balance computational efficiency with robust performance, making him a key reference for students and engineers working on autonomous systems, evolutionary robotics, and intelligent control.