Papers
5
Total Citations
134
H-Index
5
About
Daisuke Gunji is a robotics researcher whose work spans intelligent robotic manipulation and autonomous systems, with particular expertise in tactile sensing, grasping force control, and wireless power transfer for industrial robots. His most influential contributions center on enabling multi-fingered robot hands to achieve human-like grasping without prior knowledge of object properties such as weight or friction coefficient. By leveraging tactile sensor data to detect slip in real time, Gunji's grasping force control framework represents a significant step toward adaptive, intelligent robotic manipulation — a breakthrough that has earned his seminal 2008 paper over 90 citations, making it a foundational reference in the field. Earlier and concurrent versions of this work have collectively attracted additional recognition, underscoring the broad impact of his approach across robotics research communities. More recently, Gunji has expanded his research into industrial automation, developing dynamic wireless power transfer systems for autonomous vehicle logistics robots designed to streamline automotive production yard operations — work that has already begun attracting scholarly attention since its 2022 publication. His career reflects a consistent drive to bridge the gap between biological dexterity and robotic capability, advancing automation in both precision manipulation and large-scale industrial contexts.
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