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About

Narendra Ahuja is a distinguished researcher whose work spans robotics, computer vision, and autonomous systems, with particularly foundational contributions to motion planning and omnidirectional imaging. His most influential work, the 1992 survey "Gross Motion Planning," has accumulated over 829 citations, cementing its status as an essential reference in robotics literature. By systematically mapping the landscape of motion-planning algorithms — from point robots to complex manipulators — Ahuja helped clarify one of robotics' most computationally demanding challenges and guided decades of subsequent research. His early work on octree representations of moving objects (1984) demonstrated a lasting commitment to efficient spatial reasoning, while his 1988 paper on potential field path planning offered practical geometric solutions to navigation problems. Ahuja also made significant advances in imaging technology, developing high-resolution panoramic and hemispherical cameras and novel omnidirectional stereo vision systems that have applications in surveillance, telepresence, and autonomous navigation. More recently, he has explored dynamic textures, swarm modeling, and cutting-edge neural rendering, including open-vocabulary NeRF decomposition. Across four decades, Ahuja's research has consistently bridged theoretical rigor and real-world applicability, making him a versatile and enduring voice in computational robotics and vision.