Jagtej Singh

United Biomedical (United States), State University of New York

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About

Jagtej Singh is a robotics researcher whose work has made meaningful contributions to the field of robot manipulator design and optimization. His research focuses primarily on the kinematic and dynamic synthesis of robotic systems, with a particular emphasis on developing global performance metrics that transcend the limitations of traditional, posture-dependent analyses. Singh's most influential work, "Optimal Synthesis of Robot Manipulators Based on Global Kinematic Parameters" (1995), has garnered 32 citations and addresses how manipulators can be designed more effectively by considering performance across their entire workspace rather than at isolated configurations. This was complemented by his earlier 1992 paper on global dynamic parameters, which introduced novel posture-independent measures of inertia, coupling, and nonlinear forces — a significant conceptual advance that earned 19 citations and helped lay the groundwork for more robust manipulator design methodologies. Further expanding his analytical toolkit, Singh proposed a probabilistic approach to performance evaluation in 1994, offering researchers a statistical framework for mapping velocity and force transmission characteristics across a manipulator's workspace. Together, these contributions reflect a coherent research vision: making robot design more globally informed, systematic, and practically optimized for real-world deployment.