Atul Babbar

Shree Guru Gobind Singh Tricentenary University

Papers

Total Citations

H-Index

About

Atul Babbar is a multidisciplinary researcher whose work spans robotics, artificial intelligence, and biomedical engineering, with particular expertise in autonomous navigation and advanced manufacturing technologies. His research in robotics has produced meaningful advancements in intelligent path planning and localization, most notably demonstrated through his generative AI-driven approach to wheeled robot path planning, which has already garnered 11 citations since its 2024 publication. Complementing this, his implementation of simultaneous localization and mapping (SLAM) within the ROS framework further establishes his contributions to autonomous systems development. Equally significant is Babbar's work in biomedical engineering, where he has explored the transformative potential of 3D bioprinting for tissue engineering, bionics, and regenerative medicine. His 2022 paper on polymer 3D bioprinting has accumulated 9 citations, reflecting growing community interest in this rapidly evolving field. His additional publication on bioprinting applications in biomedicine underscores a sustained commitment to understanding how additive manufacturing can reshape healthcare. Across his portfolio, Babbar demonstrates a rare ability to bridge cutting-edge computational methods with real-world engineering challenges, making his work valuable to researchers in robotics, materials science, and biomedical innovation alike.