Abhay C. Karade
Papers
1
Total Citations
5
H-Index
1
About
Dr. Abhay C. Karade is a robotics researcher whose work lies at the intersection of computer vision and robotic manipulation, with a particular focus on visual servoing and adaptive control. His most cited paper, "Keypoints-Based Adaptive Visual Servoing for Control of Robotic Manipulators in Configuration Space" (2023, 5 citations), introduces a pioneering method that enables robots to be controlled directly in configuration space using only natural visual features, eliminating the need for artificial markers or prior 3D models. To achieve this, Karade developed a novel data collection pipeline integrating camera intrinsics, extrinsics, and forward kinematics to generate accurate 2D projections of robot joint locations. This keypoint-based approach significantly simplifies visual feedback for robotic arms, enhancing their adaptability in unstructured environments. Though early in his career, Karade's work demonstrates a clear impact on advancing vision-based control systems, offering a practical pathway toward more intuitive and robust robotic manipulation. His research holds promise for applications in manufacturing, autonomous systems, and human-robot collaboration, marking him as an emerging contributor to modern robotics.
Research Focus
Key Achievements
Top Papers
- 1