66 citations · 95 across the 3 of their papers we have counts for
3 papers
Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments
Hartmut Surmann, Christian Jestel, Robin Marchel +3
Deep Reinforcement Learning has been successfully applied in various computer games [8]. However, it is still rarely used in real-world applications, especially for the navigation…
3D mapping for multi hybrid robot cooperation
Hartmut Surmann, Nils Berninger, Rainer Worst
This paper presents a novel approach to build consistent 3D maps for multi robot cooperation in USAR environments. The sensor streams from unmanned aerial vehicles (UAVs) and groun…
3D Registration of Aerial and Ground Robots for Disaster Response: An Evaluation of Features, Descriptors, and Transformation Estimation
Abel Gawel, Renaud Dubé, Hartmut Surmann +3
Global registration of heterogeneous ground and aerial mapping data is a challenging task. This is especially difficult in disaster response scenarios when we have no prior informa…