Yoshiki Shimomura

Tokyo Metropolitan University

Papers

7

Total Citations

58

H-Index

4

About

Yoshiki Shimomura is a leading figure in service engineering and human-robot interaction, with a career dedicated to designing intelligent systems that enhance community welfare and quality of life. His foundational work on "Human-Friendly Networked Partner Robots" (2006, 36 citations) established a vision for ubiquitous sensor networks and service-oriented robot architectures within smart cities, laying the groundwork for sophisticated, community-centric services. Shimomura has made significant contributions to reinforcement learning, notably developing algorithms for continuous state spaces using Fuzzy-ART networks and parallel learning strategies with exploration agents, which accelerate the acquisition of optimal policies. His recent applied research focuses on assistive robotics for elderly care, including the analysis of seal robot (PARO) operations to improve dementia care protocols, and the development of specialized interfaces for Boccia sport robots to enhance accessibility for individuals with disabilities. Through his work on empathy in co-creative innovation, Shimomura also explores the human-centered dimensions of service design. With over 50 citations across his key publications, his research bridges theoretical advances in machine learning with tangible, socially beneficial robotic applications, making him a pivotal contributor to the fields of service engineering and human-robot collaboration.

Research Focus

Key Achievements

4
H-Index
7
Papers
58
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Human-Friendly Networked Partner Robots toward Sophisticated Services for A Community
36 citations · 2006
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Tokyo Metropolitan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago