Papers
14
Total Citations
295
H-Index
7
About
Riby Abraham Boby is a distinguished robotics researcher whose work sits at the intersection of computer vision, robot calibration, and industrial automation. His primary research focus encompasses kinematic identification of industrial robots, camera-based pose estimation, and vision-guided robotic systems — areas where he has made substantial and lasting contributions. Boby's most celebrated work centers on leveraging monocular cameras to solve complex robot calibration challenges. His 2018 paper introducing a geometric approach for kinematic identification using a monocular camera has garnered 69 citations, establishing a foundational methodology in the field. He subsequently refined this with hybrid geometric-parametric approaches (63 citations) and pioneered techniques that bypass the need for full 3D pose measurement, working entirely in 2D image space — a practically significant innovation for industrial deployment. His early contributions to single-image camera calibration and pose estimation (37 citations) demonstrated remarkable ingenuity, simultaneously determining robot pose and camera intrinsic parameters from a single image. More recently, Boby has extended his expertise into elasto-static identification and roboforming — robot-assisted incremental sheet metal forming — addressing real-world manufacturing precision challenges. With a cumulative citation count exceeding 285, Boby's research has meaningfully advanced cost-effective, vision-based solutions for industrial robot calibration, making sophisticated robotic systems more accessible and accurate across manufacturing environments.
Research Focus
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- 10Vision Based Identification and Force Control of Industrial Robots6 citations · 2022