Holger Friedrich
Karlsruhe Institute of Technology, Goethe University Frankfurt
Papers
10
Total Citations
101
H-Index
6
About
Holger Friedrich is a pioneering researcher in interactive and view-based robot programming, whose work bridges human-robot collaboration and autonomous navigation. His key research areas include robot learning from human demonstration, multi-agent systems, and vision-based localization. Friedrich's major contributions are twofold: first, he advanced interactive robot programming by developing methods that allow robots to learn tasks through human demonstration and advice, as evidenced by his most-cited paper "Interactive Robot Programming Based on Human Demonstration and Advice" (27 citations). Second, he pioneered view-based robot localization using spherical harmonics, creating illumination-invariant descriptors that enable robots to navigate using omnidirectional camera systems—a concept he termed "Optical Rails." His work on "View-Based Robot Localization Using Spherical Harmonics" (9 citations) and subsequent extensions using orientation features on the sphere demonstrate his innovative approach to robust, feature-based robot guidance. With over 100 total citations across his career, Friedrich's research has laid foundational groundwork for intuitive robot programming and vision-based navigation, making him a notable figure in the intersection of human-robot interaction and computer vision.
Research Focus
Key Achievements
Top Papers
- 1Interactive Robot Programming Based on Human Demonstration and Advice27 citations · 1999
- 2What can robots learn from humans?19 citations · 1996
- 3Integrating skills into multi-agent systems12 citations · 1998
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- 5Communication and propagation of action knowledge in multi-agent systems9 citations · 1999
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- 7What Can Robots Learn from Humans?6 citations · 1995
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- 9
- 10Optical Rails3 citations · 2008