Papers

17

Total Citations

409

H-Index

10

About

Tokiichiro Takahashi is a robotics researcher whose work spans two interconnected domains: robotic assembly and human-robot interaction, and disaster response robotics. His early contributions focused on intuitive robot programming, pioneering "teaching by showing" systems that allow novice operators to direct robots through virtual reality interfaces — work that earned him 67 and 55 citations respectively and helped democratize robot task instruction. His multi-agent approach to robotic assembly contact-state transitions further demonstrated his sophisticated understanding of autonomous manipulation. Takahashi made a significant mark in disaster robotics through his involvement in the RoboCup-Rescue project, co-authoring a foundational 2002 paper — his most cited work with 127 citations — that introduced a distributed urban disaster simulation environment populated by heterogeneous intelligent agents. This work helped establish simulation-based disaster mitigation as a serious research field. He continued advancing disaster robotics through competition-driven innovation, contributing to Japan's Virtual Robotics Challenge and the World Robot Summit, promoting robots for infrastructure inspection and emergency response. His sustained output across two decades, accumulating nearly 400 citations, reflects a career dedicated to making robots more teachable, more autonomous, and ultimately more useful in humanity's most critical moments.

Research Focus

Key Achievements

10
H-Index
17
Papers
409
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
The RoboCup-Rescue project: a robotic approach to the disaster mitigation problem
127 citations · 2002
📈 Most Prolific Year: 2002 (11 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Chubu University, NTT (Japan), Meijo University, The University of Osaka, Kobe University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago