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Masaru Shikano is a pioneer in autonomous mobile robotics, with his research centered on vision-based navigation systems that enable robots to operate reliably in real-world environments. His major contribution lies in developing robust landmark recognition and self-localization techniques, particularly through variable template matching and global matching methods. Shikano addressed a critical challenge: when a robot loses sight of a landmark, it cannot calculate its position, leading to mission failure. His innovative error recovery system, detailed in his most cited work "Vision based navigation system by variable template matching for autonomous mobile robot" (2002, 20 citations), allows robots to continue functioning even when landmark sizes differ from stored templates. His subsequent paper "Vision based navigation system for autonomous mobile robot with global matching" (2003, 18 citations) further advanced this by enabling robots to recover from recognition failures. Shikano's work has accumulated over 42 citations, demonstrating its foundational impact on mobile robot navigation. His research remains highly relevant for students and engineers developing autonomous systems that must operate reliably in unpredictable environments, making him a key figure in the evolution of practical, error-tolerant robotic navigation.