Papers

13

Total Citations

512

H-Index

11

About

R. Bunschoten is a robotics and computer vision researcher whose work has made significant contributions to the fields of mobile robot localization, omnidirectional vision, and human-robot interaction. Active primarily in the early 2000s, Bunschoten's most influential research centers on probabilistic and appearance-based approaches to robot navigation, allowing mobile robots to understand and move through their environments without relying on traditional geometric maps. His most-cited work, "A Probabilistic Model for Appearance-Based Robot Localization" (2001, 147 citations), laid important groundwork for using sensory appearance data rather than geometric models to achieve robust localization. Bunschoten also played a key role in the development of Jijo-2, a pioneering office robot capable of speech-based communication and environmental learning, a project that collectively attracted over 175 citations across multiple publications. His subsequent research extended these ideas through omnidirectional vision systems, enabling visual odometry, 3D scene reconstruction, and household robot navigation. Work on supervised feature extraction further demonstrated his interest in making robot perception both efficient and task-relevant. Bunschoten's body of research helped shape modern expectations for intelligent, perceptually aware autonomous robots operating in everyday human environments.

Research Focus

Key Achievements

11
H-Index
13
Papers
512
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
A probabilistic model for appearance-based robot localization
147 citations · 2001
📈 Most Prolific Year: 2001 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Amsterdam, Intelligent Systems Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago