Papers

35

Total Citations

280

H-Index

10

About

Kiyoshi Hoshino is a robotics researcher whose work centers on humanoid robot hands, human motion imitation, and real-time hand pose estimation. His research addresses one of the most persistent challenges in robotics: replicating the dexterity of the human hand in lightweight, practical systems. Hoshino's most influential contributions include the development of humanoid robot hands capable of delicate fingertip pinching actions — tasks such as picking up paper or a needle — which had long eluded robotic design (cited 30 and 18 times respectively). He pioneered high-speed, high-accuracy image retrieval methods that enable robots to imitate human hand postures in real time without specialized hardware, work that attracted over 23 citations across multiple studies. His "Copycat Hand" system demonstrated that robots could mirror human motion with remarkable fidelity, while his Self-Organizing Map approach further streamlined real-time control. Beyond manipulation, Hoshino explored pneumatic robot arms, three-dimensional tactile sensing, and gesture-based remote robot control. His cumulative body of work, spanning sign language reproduction to teleoperation systems, reflects a sustained commitment to closing the gap between human and robotic dexterity, making him a notable figure in intelligent robotics research.

Research Focus

Key Achievements

10
H-Index
35
Papers
280
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Pinching at Fingertips for Humanoid Robot Hand
30 citations · 2005
📈 Most Prolific Year: 2006 (7 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: University of Tsukuba, Tsukuba University of Technology, Meiji University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago