Papers
18
Total Citations
639
H-Index
13
About
Rainer Worst is a robotics researcher whose work spans human-robot teaming, disaster response systems, and autonomous agricultural and off-road vehicles. He has made significant contributions to the development of intelligent robotic systems designed to operate in complex, unstructured environments where human safety is paramount. Worst is perhaps best known for his extensive research on Urban Search and Rescue (USAR) robotics, particularly through the EU-funded NIFTi and TRADR projects, which explored how robots and humans can collaborate effectively during disaster response scenarios. These projects produced foundational insights into system design, multi-robot cooperation, and long-term teaming strategies, collectively garnering nearly 280 citations. His early work on the GMD-Snake, a pioneering snake-like robot capable of locomotion and manipulation in confined spaces (52 citations), demonstrated his innovative approach to non-conventional robotic platforms. Beyond disaster robotics, Worst has contributed to agricultural autonomy through ambient awareness systems for robotic vehicles (122 citations) and advanced traversability assessment using LIDAR-stereo sensor fusion. His research on 3D mapping for hybrid UAV-UGV cooperation further reflects his commitment to practical multi-robot solutions. With a body of work consistently bridging theoretical design and real-world deployment, Worst stands as a valuable contributor to applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1Ambient awareness for agricultural robotic vehicles122 citations · 2016
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- 5Construction and operation of a snake-like robot52 citations · 2002
- 6Mapping of rescue environments with kurt3d42 citations · 2005
- 73D mapping for multi hybrid robot cooperation29 citations · 2017
- 8Designing Intelligent Robots for Human-Robot Teaming in Urban Search and Rescue25 citations · 2012
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