Keisuke Fujimoto

Papers

Total Citations

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About

Keisuke Fujimoto is a robotics researcher whose work centers on autonomous mobile manipulation, warehouse automation, and real-time environmental mapping. His most significant contribution is the development of a mobile dual-arm robot for automated order picking in warehouses containing diverse products. This system integrates self-localization, model-based object recognition, and arm trajectory planning to enable the robot to autonomously navigate shelving and grasp items—a key step toward flexible, human-like automation in logistics. His 2015 paper on this system has garnered 25 citations, marking it as his most influential work to date. Fujimoto has also advanced the field of autonomous locomotion by proposing a real-time technique for updating 2D environmental maps that distinguishes between static and semi-static objects. This innovation improves robot self-localization in dynamic settings like factories and offices, where furniture or inventory may shift. Though his citation counts are modest, his contributions are directly relevant to the growing demand for intelligent, adaptive robots in industrial environments. Fujimoto’s research bridges perception, planning, and manipulation, offering practical solutions for next-generation warehouse automation.