Abdullah Tahir

University of Faisalabad, University of Engineering and Technology Lahore

Papers

Total Citations

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About

Abdullah Tahir is a rising researcher at the intersection of robotics, medical imaging, and assistive technologies. His work is defined by a commitment to making robotic systems more efficient, accurate, and human-centric. Tahir’s key research areas span lightweight robotic mapping, haptic feedback for medical robotics, and the optimization of assistive exoskeletons. In his most cited work, "Efficient Approach for Extracting High-Level B-Spline Features from LIDAR Data for Light-Weight Mapping" (2022, 5 citations), he tackles the fundamental challenge of enabling robots to interact with their environment by rapidly extracting high-level features from sensor data, a critical step for real-time navigation. He further bridges robotics and medicine in "Cardiac X-ray image-based haptic guidance for robot-assisted coronary intervention: a feasibility study" (2022, 4 citations), exploring how haptic feedback can enhance precision in life-saving procedures. Most recently, his 2023 study on "Design optimization and redundant actuation selection for an efficient assistive robotic exoskeleton" (3 citations) addresses the practical need for lightweight, power-efficient systems that can support human mobility. Though early in his career, Tahir’s focused contributions across mapping, medical intervention, and wearable robotics signal a promising trajectory toward more intelligent and accessible robotic systems.