Senthan Mathavan

Loughborough University, Nottingham Trent University, ASML (Netherlands)

Papers

Total Citations

H-Index

About

Senthan Mathavan is a researcher whose work bridges the physics of impact dynamics and intelligent automation. His primary research areas include nonprehensile manipulation, robotic billiards, and AI-driven fault diagnosis in hydraulic machinery. Mathavan’s most impactful contribution is a theoretical analysis of billiard ball dynamics under cushion impacts (2010, 16 citations), which provides foundational insights into trajectory prediction for training systems and robotic gameplay. He further advanced this field with a study on ball positioning in robotic billiards (2015, 5 citations), demonstrating a nonprehensile manipulation-based solution that integrates kinematics and machine vision. In a notable shift toward industrial applications, Mathavan applied artificial intelligence to fault classification in hydraulic cooling systems (2023, 8 citations), addressing the growing demand for reliable automation in mills, manufacturing, and ports. His work is characterized by a unique blend of classical mechanics and modern AI, with cumulative citations reflecting steady influence across sports engineering and industrial diagnostics. Mathavan’s research not only enriches theoretical understanding but also offers practical tools for robotics and predictive maintenance, making him a versatile contributor to both academic and applied engineering communities.