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About

Ravi Sekhar is a dynamic researcher whose work sits at the intersection of robotics, intelligent control systems, and Industry 4.0 technologies. With a growing body of highly cited publications, Sekhar has established himself as a significant contributor to modern automation and smart manufacturing research. His most recognized work focuses on advanced control methodologies, particularly his development of a Fractional Order Fuzzy PID (FOFPID) controller for precise servomotor position control (2020, 20 citations), demonstrating meaningful improvements in rotary servo system performance. Complementing this, his predictive modeling of flexible robotic arms using cohort intelligence optimization highlights his expertise in applying socio-inspired metaheuristics to real-world robotics challenges. Sekhar has also made substantial contributions to the broader Industry 4.0 landscape, authoring comprehensive bibliometric analyses and surveys on robotics, emerging technologies, and communication protocols — works that have collectively attracted dozens of citations and serve as valuable reference points for researchers entering these fields. His innovative COVID-19 aromatherapy robot project further illustrates his commitment to applying robotics solutions to pressing humanitarian challenges. More recently, his investigations into AI-driven mobile robotics and neural network-based collision classification signal an exciting trajectory toward intelligent, autonomous systems. Across his career, Sekhar's interdisciplinary approach continues to bridge theoretical control engineering with practical, impactful applications.