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Arun N. Netravali is a leading figure in computer vision and robotics, known for pioneering algebraic and geometric approaches to motion analysis. His research centers on the fundamental challenge of reconstructing 3D structure and motion from 2D images, with a particular focus on articulated objects like human bodies and robot arms. Netravali’s major contribution is the development of a decomposition framework that simplifies complex motion estimation by breaking articulated objects into smaller, manageable parts, enabling more accurate tracking from monocular perspective views. His work on minimal energy trajectories (52 citations) also advanced motion planning in robotics. Netravali’s impact is further solidified by his influential survey on algebraic methods for image processing and computer vision (19 citations), which provided a rigorous foundation for solving polynomial equations in vision tasks—a cornerstone for modern 3D reconstruction. His research has been widely cited for its mathematical depth and practical relevance, making him a key reference for students and researchers working on motion estimation, articulated tracking, and the intersection of algebra with computer vision.