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About

Sanjoy K. Ghoshal is a robotics researcher whose work centers on climbing robots, bio-inspired locomotion, and engineering optimization. His most influential contributions lie at the intersection of mobile robotics and biomimicry, where he has systematically advanced the field through comprehensive reviews and original experimental research. Ghoshal's two most cited works — a review of pipe-climbing robot locomotion methods and a survey of bio-inspired adhesion technologies, each garnering over 25 citations — have become valuable reference points for researchers navigating the rapidly evolving landscape of autonomous inspection systems. These papers address the critical need for robots capable of operating in hazardous, human-inaccessible environments such as industrial pipelines and nuclear facilities. Beyond surveys, Ghoshal has contributed hands-on innovation through the design, simulation, and dynamic analysis of an inchworm-inspired modular climbing robot, validated through ADAMS-Simulink co-simulation. His more recent work extends into computational intelligence, proposing a novel comprehensive learning Rao algorithm for engineering optimization problems. His research on hyper-redundant modular robots using artificial neural networks further demonstrates his commitment to intelligent, adaptive robotic systems. Collectively, his body of work reflects a productive research agenda bridging mechanical design, bioinspiration, and intelligent control in robotics.