Taiki Fuji

Papers

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About

Taiki Fuji is a leading researcher in robotic manipulation and warehouse automation, with a focus on developing intelligent, mobile systems for logistics. His most cited work introduces a pioneering mobile dual-arm robot designed for automated order picking in warehouses handling diverse products. This system integrates self-localization, model-based object recognition, and arm trajectory planning, enabling the robot to autonomously navigate to shelves and grasp varied items—a critical step toward flexible, human-like automation in logistics. With 25 citations, this paper has influenced subsequent research in dual-arm coordination and autonomous picking. Fuji’s contributions bridge robotics, computer vision, and control systems, addressing real-world challenges in e-commerce and supply chain efficiency. His work stands out for its practical application, demonstrating how robots can adapt to unstructured environments with multiple product types. For students and researchers, Fuji’s research offers a compelling model of how to combine perception, planning, and manipulation to solve complex industrial problems, advancing the frontier of warehouse robotics and autonomous systems.