Utkarsh Rajput

National Institute of Technology Hamirpur

Papers

Total Citations

H-Index

About

Utkarsh Rajput is a robotics researcher whose work centers on autonomous navigation and intelligent path planning for mobile robots. His most recognized contribution lies in the development of a modified ant colony optimization (ACO) algorithm tailored for mobile robot path planning, a study that has garnered 30 citations across its indexed versions since its publication in 2017. This work addresses one of the fundamental challenges in robotics: enabling robots to navigate efficiently through unknown and dynamic environments where traditional deterministic approaches fall short. By refining the classical ACO heuristic — a nature-inspired algorithm modeled on the foraging behavior of ants — Rajput's research offers improved solutions for real-time, adaptive navigation scenarios that are critical to fields ranging from industrial automation to search-and-rescue robotics. His focus on heuristic and bio-inspired methods reflects a broader commitment to making autonomous systems more robust and practically deployable. While his published portfolio remains focused, the consistent citation of his path planning research underscores its relevance to the robotics community and positions him as a meaningful contributor to the growing body of work on intelligent autonomous systems.