S. K. Natarajan
Papers
2
Total Citations
16
H-Index
2
About
S. K. Natarajan is a researcher in assistive and rehabilitation robotics, with a focus on computer vision and 3D object perception. His work centers on enabling service robots to autonomously recognize, reconstruct, and manipulate real-world objects in cluttered, unstructured environments—a critical capability for assistive technologies. His most cited paper, “Robust stereo-vision based 3D modelling of real-world objects for assistive robotic applications” (2011, 11 citations), introduces a novel fusion of disparity segmentation with closed-loop color region segmentation, allowing robots to reliably grasp objects in complex scenes. In a related study (2010, 5 citations), he developed a robust feature extraction and 3D reconstruction system for boundary-segmented objects, specifically applied to the rehabilitation robot FRIEND in a professional library scenario. This work directly supports safe and effective human-robot interaction by enabling robots to plan object manipulation tasks based on accurate scene understanding. Though his citation counts are modest, Natarajan’s contributions are notable for their practical, application-driven approach to solving real-world challenges in assistive robotics, bridging the gap between computer vision algorithms and robotic functionality.
Research Focus
Key Achievements
Top Papers
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