R. Ikeura

Mie University

Papers

2

Total Citations

11

H-Index

2

About

R. Ikeura’s research focuses on human-robot interaction and cooperative robotics, particularly in healthcare and nursing-care applications. A key contribution is the analysis of hand movement characteristics in human-human cooperative tasks, which informs the design of robots that can work alongside humans intuitively. This work, published in 2008 and cited 8 times, addresses the critical challenge of providing care for aging and disabled populations amid a declining workforce. Ikeura also advanced tactile sensing technology, developing methods to estimate a care receiver’s position using dual-arm robots. This research, cited 3 times, directly supports the creation of nursing-care robots like RIBA, which can safely lift and transfer patients, reducing strain injuries among human caregivers. By integrating tactile sensors and motion analysis, Ikeura’s work enables robots to perform delicate physical tasks, such as patient transfers from bed to wheelchair, with precision and safety. These contributions are foundational to assistive robotics, aiming to alleviate the burden on healthcare systems. Ikeura’s research remains impactful for students and engineers developing autonomous systems for elderly and disability care, blending biomechanics, sensor technology, and human-centered design.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Analyzing the characteristics of horizontal and vertical plane hand movement in human-human cooperative task
8 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Mie University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago