Azuma Ohuchi

Hokkaido University

Papers

12

Total Citations

118

H-Index

7

About

Azuma Ohuchi is a robotics researcher whose career has been defined by pioneering work in autonomous lighter-than-air robotics, particularly the development and intelligent control of indoor blimp robots. His research addresses one of aerial robotics' most nuanced challenges: enabling buoyancy-based flight vehicles to navigate reliably despite the unpredictable influences of airstreams and inertia in indoor environments. Ohuchi's most significant contributions center on control system design for blimp robots, including PID-based landing orbit motion controllers and vision-based navigation systems, works that together have garnered over 40 citations. His 2008 study on learning-based landing control for autonomous self-energy recharging demonstrated a forward-thinking integration of machine learning with aerial robotics, while his 2009 work on cooperative neural network control pushed the boundary toward more adaptive, intelligent flight behavior. Beyond purely technical contributions, Ohuchi explored human-robot interaction through entertainment blimp applications, developing systems capable of responding to human cues such as applause using probabilistic state-transition machines. His development of a modular blimp research platform further advanced the field by enabling broader experimentation. With over 110 cumulative citations, his body of work remains a meaningful reference point for researchers in autonomous aerial systems and indoor robotics.

Research Focus

Key Achievements

7
H-Index
12
Papers
118
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
PID landing orbit motion controller for an indoor blimp robot
21 citations · 2007
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Hokkaido University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago