Papers
6
Total Citations
35
H-Index
3
About
Yoshinobu Mizobuchi is a pioneering researcher in autonomous robotics, with a focus on material transportation and human-robot guidance systems. His work primarily addresses critical labor shortages in construction and aging societies through intelligent robotic solutions. Mizobuchi’s most impactful contribution is the "Hallway exploration-inspired guidance" algorithm (2021, 20 citations), which enables autonomous material transportation in dynamic construction sites—a breakthrough for efficiency and safety. He also developed trajectory planning methods for guide robots using distance-type fuzzy reasoning (2005), designed to assist in hospitals and welfare facilities. His recent research includes autonomous cart docking for complex construction environments (2025) and mechanical designs for gate-type robots capable of hauling loads five times their own weight (2021). Mizobuchi’s work demonstrates a consistent commitment to real-world deployment, validated through field experiments. With a career spanning two decades, his innovations directly tackle Japan’s declining workforce, offering scalable automation for material handling and human guidance. His research remains foundational for students and engineers developing robots for unstructured, human-centric environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Trajectory planning method of guide robots for a achieving the guidance5 citations · 2005
- 3
- 4Approaches Regarding Automatic Control of Material Handling Robots3 citations · 2021
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- 6