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About

Dr. Imran Sarwar Bajwa is a researcher whose work sits at the intersection of intelligent technologies, autonomous robotics, and real-time navigation systems. His most cited paper, "Intelligent Technologies and Applications" (2022, 6 citations), reflects his broad interest in applying computational intelligence to solve practical problems. Dr. Bajwa has made significant contributions to autonomous mobile robotics, particularly in path planning and obstacle evasion. His 2012 paper, "An Autonomous Robot Framework for Path Finding and Obstacle Evasion" (4 citations), laid foundational work for efficient robot navigation in dynamic environments. More recently, his research has focused on sensor fusion and real-time navigation, as demonstrated in "Performance evaluation of mobile stereonet for real time navigation in autonomous mobile robots" (2023, 3 citations) and "Sensor Fusion-Based Approach for Real Time Navigation in Autonomous Mobile Robots Using Mobile Stereonet in Warehouse" (2023, 2 citations). These studies advance the integration of multiple sensors to improve robot autonomy in complex settings like warehouses. With a cumulative citation count of 15 across his top papers, Dr. Bajwa’s work is steadily gaining recognition for its practical applications in robotics and intelligent systems.