Roger M. Idrovo

Escuela Superior Politecnica del Litoral

Papers

Total Citations

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About

Roger M. Idrovo is a robotics researcher whose work centers on advancing robotic manipulation, particularly through the integration of 3D vision and grasping systems. His key research areas include robotic grasping, vacuum gripper optimization, and vision-based control for industrial automation. Idrovo’s major contribution lies in developing a 3D vision-based approach to determine optimal grasping points for vacuum grippers, a critical innovation for handling large or irregularly shaped objects where traditional multi-finger grippers fall short. His most cited paper, "A 3D vision based approach for optimal grasp of vacuum grippers" (2017), has garnered 26 citations, reflecting its practical relevance in manufacturing and logistics. This work addresses the challenge of selecting the best picking location for two-suction-cup grippers, enhancing efficiency and reliability in automated processes. Idrovo’s research bridges computer vision and robotics, offering scalable solutions for real-world applications. His achievements underscore a commitment to improving industrial automation, making his work valuable for students and researchers exploring vision-guided manipulation and end-effector design.