Stephan Wirth

Universitat de les Illes Balears, University of Koblenz and Landau

Papers

Total Citations

208

H-Index

About

Stephan Wirth is a leading roboticist whose work bridges the critical gap between autonomous exploration and underwater intervention. His research focuses on developing robust visual sensing and navigation systems that enable robots to operate reliably in unstructured, high-risk environments—from disaster zones to the deep sea. Wirth’s most influential contribution is the "Exploration Transform" algorithm (2007, 56 citations), which provides a stable, multi-objective solution for rescue robots, allowing them to simultaneously localize, map, detect victims, and plan exploration paths. This work laid a foundation for resilient autonomous behavior in cluttered, unknown spaces. In the underwater domain, Wirth demonstrated that stereo visual odometry (2013, 45 citations) can serve as a precise, low-cost alternative to traditional sensors for autonomous underwater vehicles (AUVs), significantly advancing their navigational autonomy. He further contributed to the systems integration of multipurpose AUVs capable of autonomous intervention tasks (2012, 45 citations), building on the RAUVI project. With over 200 total citations, Wirth’s research is essential reading for anyone developing field robots that must see, move, and decide for themselves.