Papers
23
Total Citations
406
H-Index
11
About
Johannes Pellenz is a pioneering researcher in autonomous robotics, with a particular focus on search and rescue applications, robot navigation, and mobile mapping systems. His work has fundamentally advanced the field of Safety, Security, and Rescue Robotics (SSRR), earning him over 290 citations across his most influential publications. Pellenz's landmark contribution, the "Exploration Transform" algorithm (2007, 56 citations), provided a robust framework enabling rescue robots to simultaneously localize themselves, build maps, detect victims, and make navigation decisions — a critical challenge in disaster environments. His research on terrain drivability analysis using 3D laser range data (2009, 39 citations) further pushed the boundaries of autonomous navigation in unstructured settings, with real-world validation reported from Disaster City field tests. A prominent contributor to the RoboCup Rescue Robot League, Pellenz has helped shape international robotics competitions as proving grounds for real-world deployment, most notably influencing robotic response to the Fukushima Daiichi nuclear disaster. His innovative work on hyperspectral imaging for victim detection and rigorous map quality evaluation methodologies demonstrate a researcher equally committed to practical deployment and scientific rigor — making his body of work essential reading for anyone entering rescue robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2RoboCup Rescue Robot and Simulation Leagues55 citations · 2013
- 3
- 4Real-time 3D mapping of rough terrain: A field report from Disaster City29 citations · 2010
- 5
- 6Hyperspectral Imaging or Victim Detection with Rescue Robots22 citations · 2008
- 7
- 8Evaluation of maps using fixed shapes18 citations · 2010
- 9RoboCup Rescue Robot League18 citations · 2015
- 10