Vansh Gehlot

Thapar Institute of Engineering & Technology

Papers

Total Citations

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About

Vansh Gehlot is a rising researcher at the intersection of artificial intelligence and mechatronics, whose work is shaping how intelligent systems are designed and controlled. His primary research areas focus on integrating AI techniques—including machine learning, computer vision, soft computing, and natural language processing—into mechatronic platforms to create more adaptive, autonomous, and efficient machines. His most-cited contribution, the chapter "AI in Mechatronics" (2024), has already garnered 3 citations, offering a comprehensive framework that bridges core AI methodologies with practical mechatronic applications. This work stands out for its holistic coverage of AI planning and intelligent control strategies, providing both students and engineers with a roadmap for embedding cognition into physical systems. Gehlot’s research is particularly notable for its forward-looking approach, addressing how AI can enhance everything from robotic manipulation to smart manufacturing. As an emerging voice in this interdisciplinary field, his contributions are gaining traction, promising to influence the next generation of autonomous mechatronic devices. For students and researchers exploring the synergy between AI and engineering, Gehlot’s work offers a clear, actionable vision of the future.