Fumiaki Kojima

Papers

Total Citations

H-Index

About

Fumiaki Kojima has made pioneering contributions to robotic manipulation and tactile sensing, with a focus on enabling dexterous, human-like hand control. His key research areas include multi-fingered robotic hands, tactile sensor integration, and shape classification during manipulation tasks. In his influential 2008 work, "Shape classification in rotation manipulation by universal robot hand," Kojima proposed a novel method for classifying object shapes using a five-fingered robotic hand equipped with tactile sensors that measure pressure distributions at high temporal resolution (every 10 ms). This work, cited 7 times, laid foundational groundwork for real-time tactile feedback in robotic grasping and manipulation. Kojima's research has advanced the understanding of how tactile data can be leveraged for adaptive, sensor-driven robotic control—critical for applications in manufacturing, prosthetics, and human-robot interaction. His approach to combining tactile sensing with rotation manipulation has inspired subsequent work in dexterous robotics, demonstrating the potential for robots to handle objects with the subtlety and precision of human hands. Kojima's contributions continue to influence the development of more intuitive and responsive robotic systems.