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About

Momen Kamal Tageldeen is a researcher whose work sits at the intersection of robotics, artificial intelligence, and rehabilitation engineering. His primary research areas include mobile robot path planning, virtual reality-based serious games for rehabilitation, and the design and control of wearable exoskeletons. Tageldeen’s most cited paper, “Mobile robot path planning using Ant Colony Optimization” (2016, 48 citations), proposes a nature-inspired algorithm to solve complex navigation problems, demonstrating the effectiveness of swarm intelligence in robotics. He has also made significant contributions to rehabilitation technology, developing a virtual reality serious game for arm rehabilitation (2017, 21 citations) to address patient disengagement—a key limitation of conventional therapy. His work on motion control for wearable exoskeletons, using fuzzy logic and PID controllers (2016, 9 citations), and the design of upper arm exoskeletons (2016, 8 citations) highlights his focus on creating adaptive, patient-driven assistive devices. Tageldeen’s research bridges the gap between autonomous systems and human-centered robotics, with a clear impact on improving rehabilitation outcomes through engaging, intelligent, and personalized technologies.