Jagtar Singh

Rensselaer Polytechnic Institute, Sant Longowal Institute of Engineering and Technology

Papers

Total Citations

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About

Jagtar Singh is a robotics researcher whose work focuses on the design, control, and optimization of robotic manipulators for industrial applications, particularly in casting and filament winding processes. His major contributions include pioneering work on real-time computer control for robotic filament winding systems, as well as advanced trajectory tracking optimization for three-link robotic manipulators. Notably, his 2021 study demonstrated a remarkable reduction in ITAE error—93.05%, 94.44%, and 97.6% across three joints—using an optimized controller, showcasing significant improvements in precision and performance. Singh also applied the ant lion optimizer to solve inverse kinematics for a newly designed manipulator, addressing the nonlinear dynamic challenges that complicate control in the fourth industrial revolution. With over 25 citations across his most-cited papers, his research has practical implications for reducing lead time and enhancing production efficiency in manufacturing. His work stands out for its blend of theoretical optimization and real-world application, making it valuable for students and researchers in robotics and automation.