Rahul Gautam

Indian Institute of Information Technology Allahabad

Papers

Total Citations

H-Index

About

Rahul Gautam is a robotics researcher whose work focuses on multi-robot motion planning and coordination. His most cited paper, "Motion Planning for a Chain of Mobile Robots Using A* and Potential Field" (2018, 17 citations), addresses a critical challenge in modern robotics: moving not just one, but an entire chain of robots to a shared goal. By combining A* search with potential field methods, Gautam developed a practical framework for coordinating multiple agents in complex environments, enabling tasks that require a team of robots to navigate as a cohesive unit. This contribution is particularly relevant for applications in warehouse logistics, search-and-rescue, and autonomous convoys. While his citation count reflects a growing recognition in the field, Gautam’s work stands out for its direct applicability to real-world multi-robot systems, bridging the gap between theoretical path planning and scalable, decentralized coordination. His research continues to influence how roboticists approach the challenge of moving teams of robots efficiently and safely.