Papers

1

Total Citations

4

H-Index

1

About

Keisuke Yamazaki is a leading researcher in robotics and autonomous systems, with a focus on haptic information processing and physical property estimation for real-world environments. His work addresses a critical challenge in robotics: the trade-off between estimation accuracy and computational efficiency when robots interact with unknown surroundings. In his highly cited 2022 paper, "Validation of a Property Estimation Method Based on Sequential and Posteriori Estimation," Yamazaki introduced a novel framework that balances these competing demands, enabling robots to more effectively infer material properties through touch during autonomous tasks. This contribution has garnered 4 citations and is foundational for advancing robots capable of safe, adaptive manipulation in homes and factories. Beyond this key work, Yamazaki’s research spans motion generation, sensor integration, and real-time environmental modeling, positioning him as an innovator in bridging theoretical estimation methods with practical robotic applications. His achievements are particularly impactful for students and engineers developing next-generation autonomous systems that must operate reliably in unstructured, dynamic settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Validation of a Property Estimation Method Based on Sequential and Posteriori Estimation
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Institute of Advanced Industrial Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago