Kurt Geihs

University of Kassel

Papers

21

Total Citations

169

H-Index

7

About

Kurt Geihs is a leading researcher in multi-robot systems, with a focus on enabling autonomous robots to cooperate effectively in dynamic and unpredictable environments. His work addresses the fundamental challenges of robot teamwork, self-adaptation, and software engineering for heterogeneous robotic teams. Geihs has made major contributions through the development of modeling languages for cooperative plans, such as his 2010 paper on a modelling language for highly dynamic domains (31 citations), and through frameworks like SPICA, which provides a generative approach to robot software development (10+ citations). He introduced the RoSHA multi-robot self-healing architecture (20 citations) and advanced adaptive run-time models for robot groups (12 citations). His research on long-horizon active SLAM for multi-agent exploration (11 citations) and the IMPERA project for integrated mission planning (6 citations) demonstrates his impact on coordinated exploration and planning. With over 130 total citations across his most-cited works, Geihs has shaped how engineers approach robot teamwork in disaster response and extraterrestrial exploration, emphasizing the need for flexible, self-adaptive systems that can handle real-world complexity.

Research Focus

Key Achievements

7
H-Index
21
Papers
169
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A modelling language for cooperative plans in highly dynamic domains
31 citations · 2010
📈 Most Prolific Year: 2015 (5 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Kassel

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago