Abstract
This paper provides an overview of the main developments of the Tech United Eindhoven RoboCup @Home team. Tech United uses an advanced world modeling system called the Environment Descriptor. It allows straightforward implementation of localization, navigation, exploration, object detection & recognition, object manipulation and robot-robot cooperation skills based on the most recent state of the world. Other important features include object and people detection via deep learning methods, a GUI, speech recognition, natural language interpretation and a chat interface combined with a conversation engine. Recent developments that aided with obtaining the victory during RoboCup 2019 include pointing detection, usage of HSR’s display, a people detector and the addition of a custom keyboard in the chat interface.
Cite
CITATION STYLE
van der Burgh, M. F. B., Lunenburg, J. J. M., Appeldoorn, R. P. W., van Beek, L. L. A. M., Geijsberts, J., Janssen, L. G. L., … van de Molengraft, M. J. G. (2019). Tech United Eindhoven @Home 2019 Champions Paper. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11531 LNAI, pp. 529–539). Springer. https://doi.org/10.1007/978-3-030-35699-6_43
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