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About

Aggrey Shitsukane is a robotics researcher focused on autonomous mobile robot navigation, particularly in unknown and static environments. His work centers on developing reliable collision avoidance and path-following methodologies, with a strong emphasis on fuzzy logic control systems. Shitsukane’s most cited paper, “Fuzzy Logic Sensor Fusion for Obstacle Avoidance Mobile Robot” (2025), has garnered 17 citations, demonstrating significant interest in his sensor fusion approach. His foundational survey on obstacle avoidance in static unknown environments (2018, 7 citations) provides a comprehensive overview of the field’s challenges and solutions. Shitsukane has also explored the critical role of membership functions in fuzzy logic controllers, showing how their design directly impacts navigation performance. Notably, he developed a co-simulation framework integrating MATLAB and CoppeliaSim for testing nonholonomic mobile robot path planning, offering a cost-effective alternative to real-world experimentation. His comparative analysis of membership functions for path planning optimization further refines controller design. Through these contributions, Shitsukane advances the practical implementation of intelligent, autonomous navigation systems, addressing key challenges in sensor reliability and environmental uncertainty.