Tamal Roy

Indian Institute of Engineering Science and Technology, Shibpur

Papers

Total Citations

H-Index

About

Tamal Roy is a robotics researcher specializing in the modeling, system identification, and robust control of wheeled mobile robots (WMRs). His work focuses on addressing real-world challenges in autonomous navigation, particularly the effects of wheel slip and dynamic uncertainties on robot stability and trajectory tracking. Roy’s major contributions include developing control-oriented Linear Fractional Transformation (LFT) models for differentially driven WMRs, which enable the application of advanced H∞ control techniques to mitigate disturbances and slip dynamics. His most-cited paper, “System Identification and Control of Wheeled Mobile Robot” (2021, 3 citations), establishes foundational methods for accurate robot modeling and controller design. Subsequent works extend this framework to incorporate slip dynamics, showcasing his commitment to bridging theoretical control theory with practical robotic systems. Though his citation counts are modest, reflecting an early-career stage, Roy’s systematic approach to robust control and LFT-based modeling positions him as a promising contributor to the field of mobile robotics. His research is particularly relevant for students and engineers working on autonomous vehicles, precision agriculture, and warehouse logistics, where reliable control under uncertain conditions is critical.