Mohd Zaman

Papers

Total Citations

H-Index

About

Mohd Zaman is a researcher focused on advancing robotic manipulation and human-robot interaction. His primary research areas include the kinematic modeling of robotic systems and the integration of augmented reality (AR) for real-time control and feedback. Zaman’s major contributions lie in developing low-cost, accessible robotic solutions for industrial applications. His most-cited work, "Kinematic Modeling of A Low Cost 4 DOF Robot Arm System" (2020, 10 citations), provides foundational methods for enhancing the precision and productivity of manufacturing tasks like assembly and welding. He further innovates by bridging physical and virtual realms in "Robot Arm System Based on Augmented Reality Approach" (2020, 4 citations), where he demonstrates how AR can serve as intuitive feedback data for robot control, making complex systems more user-friendly. By combining affordable hardware with cutting-edge AR interfaces, Zaman’s work has significant implications for democratizing robotics in education and small-scale industry. His research not only improves operational efficiency but also paves the way for more interactive and accessible automation technologies.