Mechabot Afudome: Engineering Innovations in Autonomous Robotic Systems
Abstract The Mechabot Afudome represents a pioneering advancement in autonomous robotic engineering, integrating modular mechanical design, adaptive control systems, and artificial intelligence to address the demands of Industry 4.0, healthcare innovation, and aerospace exploration. This study presents a comprehensive analysis of its architecture, encompassing multi-degree-of-freedom kinematic modeling, dynamic system formulation, and hybrid control strategies that combine PID regulation, fuzzy logic, and reinforcement learning. Sensor fusion—incorporating LiDAR, inertial measurement units, and tactile arrays—enhances situational awareness and safety in human–robot collaboration. Experimental validation across industrial assembly lines, rehabilitation therapy, and aerospace docking simulations demonstrates significant improvements in precision, adaptability, and operational efficiency, with assembly accuracy increased by 18%, rehabilitation recovery accelerated by 25%, and docking succ...
