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About

Dr. Suvranshu Pattanayak is a researcher whose work lies at the intersection of advanced manufacturing, intelligent robotics, and soft computing optimization. His primary research areas include laser-based micro-machining, autonomous mobile robot navigation, and the application of metaheuristic algorithms for industrial automation. Dr. Pattanayak’s most influential contribution is his comprehensive review on laser beam micro-drilling, which has garnered 33 citations and serves as a foundational resource for researchers in precision manufacturing. In the domain of robotics, he has made significant strides in path and trajectory planning, notably developing an adaptive particle swarm optimization (APSO) algorithm to enhance the accuracy of autonomous material handling robots. His work on path planning using PSO (12 citations) and fuzzy logic for robot selection (5 citations) demonstrates a consistent focus on improving efficiency and decision-making in automated systems. Through a series of publications from 2018 to 2019, Dr. Pattanayak has systematically advanced the state of the art in mobile robot navigation, proposing modified crash-minimization and effective track-designing approaches. His research bridges the gap between theoretical optimization and practical robotic applications, making a tangible impact on the field of industrial automation.