Tohru IHARA

Chuo University

Papers

2

Total Citations

62

H-Index

2

About

Tohru Ihara is a researcher whose work bridges robotics and engineering education, with a focus on practical, real-world applications. His primary research areas include robot motion planning under nonholonomic constraints and the development of innovative skill education systems. Ihara's most significant contribution is his work on motion planning using the Rapidly-exploring Random Tree (RRT) algorithm, which addresses the complex challenge of navigating robots with nonholonomic constraints—vehicles that cannot move in all directions, like cars or differential-drive robots. This 2021 paper has garnered 55 citations, reflecting its relevance to advancing autonomous navigation in constrained environments. Additionally, Ihara has explored the modernization of vocational training through his work on "New OJT" (On the Job Training), proposing e-Learning solutions to combat the loss of expert knowledge due to aging workforces and globalization. While this 2006 paper has fewer citations (7), it highlights his forward-thinking approach to preserving and transferring critical industrial skills. Together, Ihara's research demonstrates a commitment to solving tangible problems in robotics and workforce development, making his work valuable for both engineers and educators seeking to bridge technology and human expertise.

Research Focus

Key Achievements

2
H-Index
2
Papers
62
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Research on Robot Motion Planning Based on RRT Algorithm with Nonholonomic Constraints
55 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Chuo University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago