About

Maki Tanaka is a robotics and computer vision researcher whose work centers on intelligent systems capable of perceiving and interacting with humans in real-world environments. His research spans face detection, active stereo vision, and human-robot cooperation — fields that collectively address the challenge of building machines that can see, track, and communicate with people naturally. Tanaka's most influential contribution is his robust face detection algorithm (2002), which tackles the practical difficulties of varying brightness and object size in dynamic settings, earning 29 citations and establishing him as a thoughtful contributor to machine perception for interactive robotics. Complementing this, his work on active stereo vision systems introduced binocular 3D tracking and gaze-holding methods that mimic human eye movement, enabling robots to follow moving targets through complex scenes. These studies collectively reflect a coherent vision of robots that perceive the world much as humans do. Beyond perception, Tanaka explored the communicative and psychological dimensions of human-robot interaction, examining how robots can cooperate with people in office environments and how motion design influences human comfort. With a modest but focused citation record, his research represents a meaningful early contribution to embodied, socially aware robotics — a foundation that remains highly relevant as autonomous agents become increasingly integrated into everyday life.

Research Focus

Key Achievements

4
H-Index
5
Papers
54
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robust face detection against brightness fluctuation and size variation
29 citations · 2002
📈 Most Prolific Year: 2002 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Saitama University, National Institute of Advanced Industrial Science and Technology, The University of Osaka, Gunma University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago