Muhammad Taha

Hebrew University of Jerusalem, Arab Academy for Science, Technology, and Maritime Transport

Papers

Total Citations

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About

Muhammad Taha is a rising researcher at the intersection of bio-inspired materials and intelligent robotics. His work spans two distinct but innovative frontiers: developing advanced surface coatings and pioneering autonomous robot locomotion. In his highly cited 2024 paper, Taha introduced a fluorine-free superhydrophobic coating fabricated using amino acids on soft electroadhesives—a breakthrough that marries environmental safety with high-performance surface engineering, garnering 9 citations in its first year. Complementing this materials research, Taha is advancing the field of legged robotics through his 2025 study on hexapod locomotion via reinforcement learning. This work systematically compares Proximal Policy Optimization, Deep Deterministic Policy Gradient, and Soft Actor-Critic algorithms, providing a critical benchmark for self-learned robotic gait generation. By bridging chemistry and artificial intelligence, Taha demonstrates a rare versatility, contributing foundational insights to both sustainable materials science and autonomous systems. His emerging portfolio signals a researcher poised to make significant cross-disciplinary impacts in soft robotics and smart surfaces.