S. Magata
Papers
1
Total Citations
24
H-Index
1
About
S. Magata is a pioneer in robotic vision and manipulation, whose early work laid foundational techniques for automated grasping in unstructured environments. Their most cited research, "Determining Grasp Points Using Photometric Stereo and the PRISM Binocular Stereo System" (1984, 24 citations), introduced a novel system that could locate and grasp doughnut-shaped parts from a disordered pile. Magata’s key contribution was integrating photometric stereo—a method for measuring surface orientation from shading—with binocular stereo to segment the camera field into isolated objects. This allowed the system to identify viable grasp points on complex, non-planar surfaces, a critical advance for industrial automation. By combining multiple visual cues to overcome occlusion and lighting challenges, Magata demonstrated how robots could perceive and interact with real-world clutter. Though the citation count is modest by modern standards, this work was highly influential in the 1980s, inspiring subsequent research in bin-picking and sensor fusion. Magata’s achievement remains a notable early example of vision-guided robotics, showcasing how photometric and geometric data can be fused for practical manipulation tasks.
Research Focus
Key Achievements
Top Papers
- 1