P. Sobalvarro
Papers
1
Total Citations
24
H-Index
1
About
Patrick Sobalvarro is a pioneering researcher in robotic manipulation and computer vision, with a focus on integrating sensory feedback for autonomous grasping. His most cited work, "Determining Grasp Points Using Photometric Stereo and the PRISM Binocular Stereo System" (1984), introduced a novel system that combined photometric stereo and binocular stereo to locate and grasp doughnut-shaped parts from a pile. By using photometric stereo to measure surface orientation, the system could segment the camera field into isolated objects, enabling precise grasp point determination. This early contribution, with 24 citations, demonstrated a practical fusion of vision techniques for industrial automation, laying groundwork for later advances in bin picking and 3D object manipulation. Sobalvarro’s work exemplifies the integration of multiple sensory modalities to solve real-world robotics challenges, influencing subsequent research in robotic perception and dexterous manipulation. His achievements highlight the importance of robust vision systems in enabling robots to interact with unstructured environments, a foundational concept in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1