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About

N. Nandhakumar’s research lies at the intersection of computer vision, mobile robotics, and sensor-based manipulation, with a particular focus on enabling machines to perceive and interact with their environments under real-world constraints. His most influential work, “View-invariant regions and mobile robot self-localization” (1996, 26 citations), introduced a preprocessing step that dramatically improves the efficiency of matching observed edge segments to a polygonal map, solving a fundamental problem in autonomous navigation. He further advanced robotic perception by developing a novel iterative algorithm for motion and structure recovery from scanning laser range sensors (1997, 15 citations), addressing the previously unsolved challenge of nonzero pixel sampling rates. In the domain of non-rigid object manipulation (2002, 19 citations), Nandhakumar tackled the severely underconstrained problem of representing deformable object motion, drawing inspiration from psychophysical studies of human perception. His early work on a machine vision system for teleoperated industrial robots (1994) laid the groundwork for human-robot collaboration. Across these contributions, Nandhakumar’s work is characterized by a pragmatic approach to overcoming the gap between theoretical algorithms and the noisy, incomplete data of real sensors, earning him recognition as a pioneer in practical robotic vision.