Siegfried Hochdorfer
Technische Hochschule Ulm, Robotics Research (United States)
Papers
11
Total Citations
81
H-Index
5
About
Siegfried Hochdorfer is a robotics researcher whose work centers on simultaneous localization and mapping (SLAM), mobile service robotics, and robust autonomous navigation in real-world environments. His research has made meaningful contributions to the challenge of enabling service robots to operate reliably over extended periods — a problem known as lifelong operation — particularly in dynamic, everyday indoor settings. Hochdorfer's most influential work addresses one of SLAM's core practical limitations: the continuously growing number of landmarks that accumulates during long-term robot operation. His papers on landmark rating and selection strategies (17 citations) and 6 DoF SLAM using time-of-flight cameras (20 citations) propose principled approaches to managing computational resources without sacrificing localization accuracy. He has explored multiple sensing modalities, including omnidirectional vision, bearing-only SLAM with omnicams, and manipulator-mounted laser rangers for object manipulation tasks. Beyond mapping, Hochdorfer has investigated probabilistic fusion of object recognition algorithms and human-machine interfaces for autonomous robots in public spaces, reflecting a broad commitment to making service robots genuinely deployable. With cumulative citations across a decade of publications, his body of work represents a sustained and practical contribution to bridging the gap between laboratory robotics and robust, real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10