Sumit Gupta
Papers
1
Total Citations
2
H-Index
1
About
Sumit Gupta’s research lies at the intersection of robotics, control theory, and computer vision, with a particular focus on visual servoing and uncertain kinematic systems. His most-cited work, “Uncalibrated Visual Servo Control of Robot Manipulators with Uncertain Kinematics” (2006), addresses a fundamental challenge in robotics: controlling manipulators when precise kinematic models are unavailable. By developing control strategies that rely solely on visual feedback, Gupta’s work enables robots to operate effectively in unstructured or changing environments—a critical capability for applications in manufacturing, surgery, and autonomous systems. Although his citation count is modest, the conceptual depth of his contributions has informed subsequent research in adaptive and vision-based robot control. His approach to decoupling task-space objectives from joint-space inputs, while accounting for kinematic uncertainty, offers a practical framework for real-world deployment. For students and researchers exploring robust, sensor-driven robotic systems, Gupta’s work provides a foundational perspective on how visual information can compensate for incomplete mechanical models—a theme that remains central to modern advances in collaborative and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1