Papers
22
Total Citations
317
H-Index
9
About
G. Shanmugasundar is a prolific robotics and mechanical engineering researcher whose work spans robot design, structural optimization, multi-criteria decision-making, and intelligent automation systems. With a career trajectory spanning over a decade, his contributions have significantly advanced both the theoretical foundations and practical applications of industrial and inspection robotics. His most celebrated work, "Application of MEREC in Multi-Criteria Selection of Optimal Spray-Painting Robot" (2022), has garnered 80 citations, reflecting the research community's strong interest in his systematic frameworks for robot selection. This body of decision-modeling work extends into comprehensive comparisons of multi-criteria decision-making methodologies for industrial robot selection, demonstrating his commitment to helping industries navigate increasingly complex automation choices. Shanmugasundar has made notable contributions to structural optimization of robot manipulators using finite element analysis, variable stiffness joint optimization via novel hybrid approaches, and trajectory generation algorithms. His earlier work on seven-degree-of-freedom inspection robots and computer-aided workspace simulation laid important groundwork for his later research. More recently, he has expanded into surgical robotics, exploring force estimation through deep learning architectures. Collectively accumulating over 260 citations, his research offers invaluable guidance to engineers, designers, and industries seeking smarter, safer, and more efficient robotic systems.
Research Focus
Key Achievements
Top Papers
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- 8Computer Aided Modelling and Static Analysis of an Inspection Robot17 citations · 2015
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