Atanu Shuvam Roy

Jiangxi University of Science and Technology

Papers

Total Citations

179

H-Index

About

Atanu Shuvam Roy is a rising force in robotics and artificial intelligence, whose work bridges deep learning, service robotics, and industrial automation. His research explores the transformative potential of AI, critically examining both the advantages and limitations of deep learning algorithms—a contribution that has garnered 83 citations and sparked important conversations in the field. Roy’s hands-on engineering prowess shines through in the design and development of FOODIEBOT, an adaptive service robot that integrates sophisticated image processing with mobile and web interfaces, demonstrating a clear path from simulation to real-world deployment. His foundational work on mathematical models for service robots and PID tuning methods for automated guided vehicles (AGVs) further underscores his commitment to making robots more efficient, controllable, and practical for industrial use. With over 180 citations across his most influential papers, Roy is establishing himself as a thoughtful innovator who not only advances theoretical understanding but also builds tangible, functional systems. His research offers valuable insights for students and engineers seeking to understand how deep learning and classical control methods can converge to create smarter, more capable robots.