Hideto Ide

Aoyama Gakuin University

Papers

10

Total Citations

62

H-Index

4

About

Hideto Ide is a robotics researcher whose work spans human-machine interfaces, autonomous systems, and multi-robot coordination. His foundational contributions in the early 1990s focused on electromyogram (EMG)-based robot control, exploring how surface muscle signals could be harnessed to direct robotic hands and arms. Recognizing the inherent variability of biological signals, Ide pioneered fuzzy logic approaches to make EMG-driven control more robust and adaptive — work that earned him his most-cited publications and helped lay groundwork for modern prosthetic and assistive robotics. Alongside his bioelectric research, Ide investigated autonomous mobile robots and obstacle avoidance using real-time potential field generation, contributing practical solutions to motion planning challenges. Perhaps most distinctively, his later career turned toward emotion-driven multi-robot systems, examining how artificial emotional models could foster emergent cooperation, burden sharing, and flexible task coordination among robot teams — a line of inquiry that spanned multiple publications between 2004 and 2008. His 2009 work on Q-learning for autonomous robot shape reconfiguration further demonstrated his engagement with machine learning. With over 60 cumulative citations across a diverse body of work, Ide's research reflects a sustained commitment to making robots more adaptive, cooperative, and intuitively responsive to human needs.

Research Focus

Key Achievements

4
H-Index
10
Papers
62
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
The Control Method for the Robot Hand Based on the Fuzzy Theory
15 citations · 1992
📈 Most Prolific Year: 1993 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Aoyama Gakuin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago