Kurt Geihs
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
Top Papers
- 1A modelling language for cooperative plans in highly dynamic domains31 citations · 2010
- 2Engineering Challenges Ahead for Robot Teamwork in Dynamic Environments23 citations · 2020
- 3RoSHA: A Multi-robot Self-healing Architecture20 citations · 2014
- 4Adaptive Run-Time Models for Groups of Autonomous Robots12 citations · 2015
- 5Long-Horizon Active SLAM system for multi-agent coordinated exploration11 citations · 2019
- 6The SPICA Development Framework11 citations · 2008
- 7A Generative Approach to the Development of Autonomous Robot Software10 citations · 2007
- 8IMPERA: Integrated Mission Planning for Multi-Robot Systems6 citations · 2015
- 9
- 10Self-Adaptivity from Different Application Perspectives5 citations · 2013