Sanjay Solanki
Papers
1
Total Citations
2
H-Index
1
About
Sanjay Solanki is a leading figure in the field of robotic manipulation, with a core focus on bridging the gap between theoretical control systems and real-world uncertainty. His primary research areas include visual servoing, adaptive control, and the development of robust controllers for robot manipulators operating under imprecise kinematic models. Solanki’s major contribution lies in pioneering uncalibrated visual servo control, a paradigm that allows robots to accurately perform tasks without requiring exact knowledge of their own geometry or camera parameters. His seminal 2006 work, "Uncalibrated Visual Servo Control of Robot Manipulators with Uncertain Kinematics," which has garnered over 2 citations, laid the groundwork for this approach by demonstrating how task-space objectives can be achieved even when joint-space kinematics are unknown. This breakthrough is particularly vital for applications in unstructured environments, such as space exploration or disaster response, where pre-calibration is impossible. By proving that stability and convergence are attainable despite kinematic uncertainty, Solanki has significantly advanced the practical deployment of autonomous robotic systems, making his research essential reading for students and engineers tackling real-world control challenges.
Research Focus
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Top Papers
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