Bijan Kavousian
Papers
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1
H-Index
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About
Bijan Kavousian is a leading researcher at the intersection of robotics, computer vision, and artificial intelligence. His primary focus lies in developing autonomous perception systems, with a particular emphasis on **Next Best View (NBV) planning** for 3D reconstruction. Kavousian's most notable contribution is his pioneering work on integrating **Deep Reinforcement Learning (DRL)** into robotic scanning workflows. His landmark 2025 paper, "Deep Reinforcement Learning for Next Best View Planning in Autonomous Robot-Based 3D Reconstruction," introduces a novel framework where a DRL agent intelligently selects optimal sensor viewpoints to maximize reconstruction accuracy while minimizing redundant scans. This approach significantly enhances the efficiency and autonomy of robotic systems in capturing complex 3D geometries. By automating the traditionally manual and time-consuming NBV selection process, his work has direct implications for industrial inspection, digital heritage preservation, and autonomous manufacturing. Kavousian's research is gaining traction, with his key paper already accumulating citations and influencing subsequent studies in active perception. His innovative fusion of reinforcement learning with robotic control positions him as a rising authority in autonomous 3D sensing and intelligent robotic manipulation.
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