Yoshitaka Hara

University of Tsukuba, Chiba Institute of Technology

Papers

2

Total Citations

20

H-Index

2

About

Yoshitaka Hara is a robotics researcher whose work spans sensor technology, human-robot interaction, and innovative robotic vehicle design. His research has made meaningful contributions to the practical application of robotic systems in everyday environments, bridging the gap between laboratory innovation and real-world utility. One of Hara's notable early contributions involves developing methods for estimating the lightness of objects using SOKUIKI sensor data — specifically the URG-04LX sensor — enabling robots to extract richer environmental information beyond simple distance measurements. This work, which has garnered 16 citations, demonstrated creative use of sensor firmware capabilities to derive gray-level estimations, expanding the perceptual toolkit available to autonomous systems. More recently, Hara has contributed to the ambitious CanguRo project, a transforming partner robot capable of human-following locomotion and conversion into a personal rideable vehicle. This work reflects a forward-thinking vision of human-robot coexistence, exploring novel mechanical designs including in-wheel drive units with cycloid gear systems. The project represents a compelling intersection of mechanical engineering, robotics, and social design. Hara's research profile reflects a consistent curiosity about how robots can more seamlessly integrate into human life, from sensing their environments more intelligently to physically adapting to serve human mobility needs.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A method for estimation of lightness of objects with intensity data from SOKUIKI sensor
16 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Tsukuba, Chiba Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago