Imran Ali Syed

Centre for Artificial Intelligence and Robotics

Papers

Total Citations

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About

Imran Ali Syed is a robotics researcher specializing in autonomous indoor navigation, with a particular focus on enabling multi-floor operations for mobile robots. His work bridges critical gaps between staircase climbing and full-floor exploration, addressing the challenge of seamless vertical mobility in indoor environments. Syed’s most influential contributions include developing an autonomous staircase navigation system that allows robots to traverse stairs using only onboard sensors, and a method for computing optimal start-of-stair positions—both cited 5 times each. These papers tackle the practical problem of where and how a robot should begin climbing, a key hurdle for real-world deployment in multi-story buildings. He has also advanced perception capabilities through work on accelerated stereo vision using NVIDIA Jetson and Intel AVX (3 citations) and visual object detection for indoor systems (2 citations). Syed’s research is notable for its focus on bridging the gap between theoretical navigation algorithms and practical implementation, making his work valuable for students and engineers developing autonomous robots for warehouses, hospitals, and smart buildings.