Papers
12
Total Citations
289
H-Index
7
About
Reinhard Koch is a leading figure in robotic vision, whose research bridges the critical gap between perception and physical manipulation. His work centers on pose estimation, 3D scene reconstruction, and the complex challenge of handling deformable objects. Koch’s major contributions include pioneering the use of Time-Of-Flight cameras for simultaneous robot navigation and map building, a foundational approach that has garnered over 70 citations. He has also developed adaptable vision systems capable of manipulating flexible objects like cables, solving path-planning problems where traditional rigid-object strategies fail. His 2003 paper on matching affinely invariant regions for visual servoing, with 56 citations, enabled robots to operate under extreme viewpoint changes without markers. Beyond these core achievements, Koch has advanced flexible 3D acquisition from monocular cameras and developed methods for calibrating inertial measurement units with cameras in real-time, essential for robust robot navigation. His recent work explores optimizing underwater lighting and learning to prevent robots from self-occluding, demonstrating a sustained commitment to solving practical, real-world vision challenges.
Research Focus
Key Achievements
Top Papers
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- 3Matching of affinely invariant regions for visual servoing56 citations · 2003
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- 6Supporting Structure from Motion with a 3D-Range-Camera19 citations · 2007
- 7Flexible 3D acquisition with a monocular camera12 citations · 2002
- 8Video-based realtime IMU-camera calibration for robot navigation7 citations · 2012
- 9Optimization of Multi-LED Setups for Underwater Robotic Vision Systems6 citations · 2021
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