Jasgurpreet Singh Chohan

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About

Jasgurpreet Singh Chohan is an emerging researcher at the forefront of industrial automation and intelligent decision-making systems. His primary research areas center on multi-criteria decision-making (MCDM) for robotics, control systems innovation, and the application of fuzzy logic in computing. Chohan’s most significant contribution is his comprehensive comparative analysis of decision models for selecting industrial robots, a work that has garnered 27 citations and directly addresses the pressing industry need for optimizing automation in high-capacity production environments. This study provides a vital framework for engineers facing the complex challenge of choosing the right robotic technology. Additionally, his forward-looking review on robotics and control systems (5 citations) outlines the path toward smarter, more resilient autonomous systems, while his exploration of fuzzy logic (3 citations) demonstrates its critical role in managing uncertainty within computational decision processes. Collectively, Chohan’s work bridges theoretical modeling with practical industrial application, establishing him as a promising voice in the evolution of intelligent automation and robotic system design.