Mohammed Mohsin

Mada Assistive Technology Centre, Dr. Hari Singh Gour University

Papers

Total Citations

H-Index

About

Mohammed Mohsin’s research sits at the intersection of robotics, artificial intelligence, and human-centered technology, with a particular focus on improving both social and industrial applications. His most cited work, “How could robots improve social skills in children with Autism?” (2017, 12 citations), explores the potential of robotic systems to enhance communication and social capabilities in children with Autism Spectrum Disorder (ASD)—a contribution that bridges assistive robotics with developmental psychology. In parallel, Mohsin has made significant strides in industrial robotics, notably through his work on trajectory planning and intelligent computation. His 2021 paper on “Minimum Jerk Trajectory Planning of PUMA560 with Intelligent Computation using ANN” (10 citations) addresses the challenge of nonlinearity in robot manipulators, proposing artificial neural networks to optimize smooth, efficient motion for manufacturing automation. He further extended this line of inquiry with “Trajectory Planning & Computation of Inverse Kinematics of SCARA using Machine Learning” (2021, 3 citations), integrating cubic B-spline methods and machine learning to handle static obstacles in pick-and-place operations. Collectively, Mohsin’s work demonstrates a dual commitment to socially impactful robotics and advanced automation, making him a versatile researcher whose contributions are relevant to both human-robot interaction and industrial engineering.