Hiroshi Suzuki

Sony Computer Science Laboratories, Tokushima University

Papers

8

Total Citations

95

H-Index

4

About

Hiroshi Suzuki is a pioneering robotics researcher whose work spans human-robot interaction, assistive technology, and agricultural automation. His most influential contribution, "Dance interaction with QRIO" (2005, 38 citations), introduced the entrainment ensemble model—a groundbreaking approach to achieving long-term, non-boring interaction between humans and robots by leveraging the entertainment robot QRIO's powerful hardware. This work established design principles for sustained human-robot engagement that remain influential today. Suzuki has also made significant contributions to assistive robotics, developing an indoor navigation system using passive RFID transponders and digital compasses for visually impaired people (2016, 21 citations), enabling safer independent travel. In agricultural robotics, his path-planning algorithms for pesticide-spraying robots in greenhouses (2017, 18 citations) and tomato recognition systems for harvesting automation (2021) demonstrate his commitment to practical, real-world applications. His research further extends to multi-robot cooperative control using particle swarm optimization and complex-valued neural networks, as well as adaptive walking control for quadruped robots. With over 90 total citations across diverse applications, Suzuki's work exemplifies how robotics can enhance human capabilities—from entertainment to accessibility to food production.

Research Focus

Key Achievements

4
H-Index
8
Papers
95
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Dance interaction with QRIO: a case study for non-boring interaction by using an entrainment ensemble model
38 citations · 2005
📈 Most Prolific Year: 2010 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Sony Computer Science Laboratories, Tokushima University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
    Control characteristics of cooperative conveyance system for multiple mobile robots using complex-valued neural network
    3 citations · 2010
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago