Klaus Janschek

TU Dresden, Institute of Automation

Papers

23

Total Citations

175

H-Index

8

About

Klaus Janschek is a leading figure in mechatronics and space robotics, whose work bridges the gap between theoretical control systems and practical, real-world applications. His research primarily focuses on advanced navigation, image processing, and error detection for autonomous systems, with a particular emphasis on space and industrial automation. A cornerstone of his career is the development of the **Smart Pushbroom Imaging System (SMARTSCAN)** , which ingeniously uses optoelectronic image correction to compensate for satellite attitude instability, solving a critical problem for high-resolution Earth observation (cited over 20 times). Janschek has also made significant contributions to autonomous spacecraft navigation, notably through his work on **EKF-SLAM for rendezvous maneuvers with unknown targets** (25 citations), and to safety-critical systems with his **model-based error detection using LSTM networks** (15 citations). His impact extends to education, where he pioneered the use of LEGO robots and LabVIEW for international mechatronics summer schools (13 citations). Through his innovative use of optical correlators for visual navigation and stochastic error propagation analysis for space software, Janschek has consistently pushed the boundaries of robust, intelligent automation, influencing both academic research and practical engineering in the aerospace and industrial sectors.

Research Focus

Key Achievements

8
H-Index
23
Papers
175
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
EKF-SLAM based Approach for Spacecraft Rendezvous Navigation with Unknown Target Spacecraft
25 citations · 2010
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: TU Dresden, Institute of Automation

Top Papers

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  10. 10
    A set-based global dynamic window algorithm for robust and safe mobile robot path planning
    7 citations · 2010

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago