Anoj Kumar Yadav

University of Applied Sciences Ravensburg-Weingarten

Papers

Total Citations

H-Index

About

Anoj Kumar Yadav is a researcher at the forefront of logistics automation and mobile robotics, with a primary focus on solving complex routing and optimization problems. His most cited work, "Ant Colony Optimization for Retail Based Capacitated Vehicle Routing Problem with Pickup and Delivery for Mobile Robots" (2023), addresses a critical challenge in modern retail: efficiently coordinating mobile robots to pick and place items within stores. By applying Ant Colony Optimization—a nature-inspired algorithm—to the Capacitated Vehicle Routing Problem with Pickup and Delivery (CVRP-PD), Yadav has developed scalable solutions that bridge the gap between theoretical optimization and real-world automation. This work, which has garnered 2 citations, is particularly notable for its practical application in retail environments, where mobile robots are increasingly deployed for inventory management and order fulfillment. Yadav’s contributions are significant for students and researchers interested in the intersection of swarm intelligence, vehicle routing, and robotics, offering a clear pathway from algorithmic design to tangible industry impact. His research continues to push the boundaries of how autonomous systems can streamline supply chain operations.