H. Wiemers
Papers
1
Total Citations
3
H-Index
1
About
H. Wiemers’s research centers on robot vision, object recognition, and adaptive learning for autonomous manipulation. Their most-cited work, “How to provide pattern representations for learning and recognizing differently located objects from arbitrary camera positions” (2005, 3 citations), introduces a vision system capable of identifying workpieces regardless of their location or the camera’s viewpoint, delivering precise position and orientation data for gripping. A key contribution is the system’s ability to learn unknown objects in real time, enabling immediate recognition once a name is assigned—a practical step toward flexible, human-guided robotics. While citation counts are modest, the work’s focus on viewpoint-invariant recognition and incremental learning addresses a fundamental challenge in industrial automation and service robotics. Wiemers’s approach bridges pattern representation with active perception, offering a foundation for systems that adapt to unstructured environments. This research remains relevant for students and engineers developing vision-guided robots that must handle novel objects without exhaustive pre-programming.
Research Focus
Key Achievements
Top Papers
- 1