Dr.-Ing. Stefan Schubert
Research Interests
My research interests are within the field of mobile robotics and artificial intelligence. I am working on environment perception, navigation, and machine learning for decision making and object detection.
More information can be found here:
- Visual Place Recognition in Changing Environments
- Circular Convolutional Neural Networks (CCNNs)
- Vector Symbolic Architectures
- Camera-based Navigation in a 3D Map
- How to Build and Customize a High-Resolution 3D Laserscanner Using Off-the-shelf Components
- Field Robotics and the SpaceBot Cup
Awards
RSS Pioneer 2019 (Robotics: Science and Systems)
I was one of the 23 international PhD students and postdocs who have been accepted to this year's RSS Pioneers Workshop (RSSP'19). Thanks to the RSSP'19 general chairs Tesca Fitzgerald (Georgia Institute of Technology, USA) and Abhinav Valada (University of Freiburg, Germany) as well as all other organizers.
TAROS 2017 Best Paper Award
We presented the best paper during the Conference Towards Autonomous Robotic Systems (TAROS) held at the University of Surrey, UK. Special thanks to the conference chair Prof. Yang Gao and all other organizers.
TAROS 2016 Best Paper Award
We presented the best paper during the Conference Towards Autonomous Robotic Systems (TAROS) held at the University of Sheffield, UK. Special thanks to the conference chairs Prof. Tony Prescott and Prof. Jacques Penders and all other organizers.
Prize of the Dresden Circle of Business and Science, 2015
Award winner as junior scientist in the field of natural sciences, Dresden, Germany.
German National Scholarship, 2011-2013
Successful application for the German National Scholarship (merit-based scholarship).
Tutorials
An Introduction to Vector Symbolic Architectures and Hyperdimensional Computing, ECAI 2020
We held a tutorial (tutorial website) on high dimensional computing at the 2020 European Conference on Artificial Intelligence (ECAI). We gave an introduction to properties of the high dimensional space, Vector Symbolic Architectures (VSAs), high-dimensional encoding of real world data, and applications. More information about the topic can be found in our recent journal article:
High dimensional computing - the upside of the curse of dimensionality, KI 2019
We held a tutorial (tutorial website) on high dimensional computing at the 2019 German conference on artificial intelligence (KI) in Kassel, Germany. We gave an introduction to properties of the high dimensional space, Vector Symbolic Architectures (VSAs), high-dimensional encoding of real world data, and applications. More information about the topic can be found in our recent journal article: