Papers
9
Total Citations
78
H-Index
5
About
Arjan Kuijper’s research lies at the intersection of computer vision, robotics, and intelligent environments, with a strong emphasis on real-time visual perception and human-robot interaction. His most impactful work addresses the critical challenge of robust, fast, and accurate vision-based localization for cooperative targets in space robotics—a prerequisite for autonomous satellite servicing and orbital manipulation. His 2017 paper on this topic, with 29 citations, demonstrates a practical solution for relative position and orientation measurement between a space robot arm and its target. Kuijper has also pioneered the use of virtual robotic systems for automated 3D digitization of cultural heritage artifacts, bridging robotics and digital preservation. Beyond space and heritage applications, he has developed visual support systems that enhance gestural interaction in intelligent environments, helping users reliably select reactive elements despite the inherent ambiguity of pointing gestures. His more recent work extends into deep learning for transparency detection and ML-based fish motion estimation, showing a versatility in applying computer vision to both industrial and biological domains. With a career marked by contributions to real-time, robust vision systems, Kuijper continues to push the boundaries of how robots perceive and interact with their surroundings.
Research Focus
Key Achievements
Top Papers
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- 7Robot-Supported Pointing Interaction for Intelligent Environments3 citations · 2014
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