Umesh Kumar Yadav
Papers
6
Total Citations
49
H-Index
3
About
Umesh Kumar Yadav is a researcher specializing in robotics, control systems, and intelligent automation, with a particular focus on self-balancing robots, surgical robotics, and vision-based robotic control. His major contributions include developing novel order-reduction techniques for controller design in self-balanced bicycle-robots, notably using Grey-wolf and Jaya optimization algorithms to minimize error and improve stability. His most cited work, "A Novel Rank-order-centroid Based Reduction of Self-balanced-bicycle-robot Controller Using Grey-wolf Optimizer" (2022), has garnered 29 citations, highlighting its impact on efficient controller design. Yadav has also made significant strides in medical robotics, as evidenced by his comprehensive review on sensors and components in robotic surgery (2023, 9 citations), which outlines recent advances and challenges. His recent works on autonomous object tracking with a 2DOF robotic arm (2025) and intuitive gesture-driven control of robotic arms (2025) demonstrate his commitment to making robotic systems more accessible and user-friendly. Through these contributions, Yadav is advancing the fields of control theory, human-robot interaction, and medical automation, with a growing citation record that underscores his influence in robotics research.
Research Focus
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Top Papers
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