Takumi Cho

Hosei University

Papers

1

Total Citations

4

H-Index

1

About

Takumi Cho is a robotics researcher whose work focuses on autonomous navigation and human-robot interaction, particularly in complex indoor environments. His most-cited paper, "Development of automatic elevator navigation algorithm for JAUS compliant mobile robot" (2012, 4 citations), presents a key contribution to mobile robotics: enabling robots to autonomously board and operate elevators, a critical capability for multi-floor navigation. This work was developed for the Tsukuba Challenge 2011, a prestigious real-world robotics competition, where Cho's algorithm allowed a JAUS-compliant robot to detect open elevator doors and navigate inside. While his citation count is modest, the research addresses a fundamental challenge in service robotics—seamless vertical mobility—and demonstrates practical implementation in a competitive setting. Cho's contributions are notable for bridging the gap between robotic standards (JAUS) and real-world deployment, offering a blueprint for robots operating in human-centric spaces like hospitals or offices. His work underscores the importance of integrating perception, control, and standardized communication for autonomous systems, making it a valuable reference for researchers tackling similar navigation hurdles.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Development of automatic elevator navigation algorithm for JAUS compliant mobile robot
4 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Hosei University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago