Vijay Kalivarapu

Papers

Total Citations

102

H-Index

About

Vijay Kalivarapu is a leading researcher in swarm intelligence and autonomous robotics, with a primary focus on source-seeking algorithms using particle swarm optimization (PSO). His major contributions lie in adapting and implementing PSO-based strategies for mobile robot swarms tasked with locating signal sources in complex, non-differentiable environments. His most cited work, "Particle Swarm Optimization-Based Source Seeking" (2015), has garnered 99 citations, establishing a foundational framework for deploying autonomous platforms in source-seeking missions. This research addresses critical challenges in real-world applications, such as search and rescue, environmental monitoring, and hazardous material detection. Kalivarapu’s work is notable for demonstrating how standard PSO can be effectively applied to physical robotic systems, overcoming limitations of gradient-based methods in noisy or discontinuous signal fields. His contributions have significantly advanced the practical deployment of swarm robotics, inspiring further innovations in autonomous navigation and collective decision-making. For students and researchers, Kalivarapu’s research offers a compelling bridge between theoretical optimization algorithms and tangible robotic applications, highlighting the transformative potential of swarm intelligence in autonomous systems.