G. Hartmann
Papers
8
Total Citations
64
H-Index
4
About
G. Hartmann is a pioneering researcher in computer vision and robotics, whose work has fundamentally advanced the field of 3D object recognition and active vision systems. His research focuses on developing intelligent robot vision systems capable of recognizing, locating, and manipulating objects in unstructured environments, with particular emphasis on contour-based representations and multi-view recognition strategies. Hartmann's major contributions include the development of spatially tolerant contour representations for 3D object recognition, which demonstrated that multiple-view approaches could be both straightforward and computationally tractable for real-world applications. His seminal works on single-view recognition and pose estimation (17 citations) and knowledge-based view control of neural recognition systems (17 citations) established foundational approaches for active vision in robotics. Notably, Hartmann extended these principles to practical applications, including automated disassembly for recycling processes—a forward-thinking contribution to sustainable manufacturing. His SENROB vision system (13 citations) represents a complete implementation of his philosophy, integrating object detection, recognition, and gripping capabilities in a working robot. Through his hierarchical contour coding methods and innovative combinations of viewer-centered and object-centered representations, Hartmann has created lasting impact on how robots perceive and interact with their environment, influencing generations of computer vision researchers.
Research Focus
Key Achievements
Top Papers
- 1
- 2Knowledge-based view control of a neural 3-D object recognition system17 citations · 1996
- 3The SENROB vision-system and its philosophy13 citations · 2002
- 4An active object recognition system for disassembly tasks5 citations · 2003
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