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About

Weria Khaksar is a researcher whose work spans robotics, autonomous systems, and ambient-assisted living technologies. His most significant contributions lie in mobile robot motion planning and navigation, areas in which he has produced an impressive body of work. His comprehensive reviews — covering over 100 research articles on robot motion planning approaches and obstacle avoidance in dynamic environments — have become essential reference points for the field, collectively amassing well over 100 citations. His algorithmic contributions, including a novel navigation algorithm for unknown dynamic environments using future prediction and priority behavior, and a sampling-based Tabu search approach for online path planning, demonstrate his commitment to developing practical, computationally efficient solutions for autonomous robots. Beyond robotics, Khaksar has made a notable pivot toward smart health technologies. His 2018 survey on ambient sensors for elderly care and independent living stands as his most impactful work, garnering 164 citations and addressing the critical challenge of supporting aging populations through reliable, cost-effective technology. Complementing this, his research on deep learning-based gait recognition systems highlights his interest in applying machine vision to smart home and healthcare contexts. Together, his contributions reflect a researcher uniquely positioned at the intersection of intelligent robotics and human-centered technology, making his work highly relevant to both engineers and healthcare innovators.