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Tech United Eindhoven @Home 2019 champions paper

Authors :
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 Dooren, P.
van Rooy, H.W.A.M.
Aggarwal, A.
Aleksandrov, S.
Dang, K.
Hofkamp, A. T.
van Dinther, D.
van de Molengraft, M.J.G.
Chalup, Stephan
Niemueller, Tim
Suthakorn, Jackrit
Williams, Mary-Anne
Mechanical Engineering
Control Systems Technology
Electromechanics and Power Electronics
Source :
RoboCup 2019: Robot World Cup XXIII, 529-539, STARTPAGE=529;ENDPAGE=539;TITLE=RoboCup 2019, RoboCup 2019: Robot World Cup XXIII ISBN: 9783030356989, RoboCup
Publication Year :
2019
Publisher :
Springer, 2019.

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.

Details

Language :
English
ISBN :
978-3-030-35698-9
ISBNs :
9783030356989
Database :
OpenAIRE
Journal :
RoboCup 2019: Robot World Cup XXIII, 529-539, STARTPAGE=529;ENDPAGE=539;TITLE=RoboCup 2019, RoboCup 2019: Robot World Cup XXIII ISBN: 9783030356989, RoboCup
Accession number :
edsair.doi.dedup.....1f9ed30136ac6bcf044608c7678c7281