Tech United Eindhoven @Home 2019 champions paper

M.F.B. van der Burgh, J.J.M. Lunenburg, R.P.W. Appeldoorn, L.L.A.M. van Beek, J. Geijsberts, L.G.L. Janssen, P. van Dooren, H.W.A.M. van Rooy, A. Aggarwal, S. Aleksandrov, K. Dang, A. T. Hofkamp, D. van Dinther, M.J.G. van de Molengraft

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

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.

Originele taal-2Engels
TitelRoboCup 2019
SubtitelRobot World Cup XXIII
RedacteurenStephan Chalup, Tim Niemueller, Jackrit Suthakorn, Mary-Anne Williams
Plaats van productieBerlin
UitgeverijSpringer
Pagina's529-539
Aantal pagina's11
ISBN van geprinte versie9783030356989
DOI's
StatusGepubliceerd - 1 jan 2019
Evenement23rd Annual RoboCup International Symposium, RoboCup 2019 - Sydney, Australië
Duur: 2 jul 20198 jul 2019

Publicatie series

NaamLecture Notes in Computer Science
Volume11531
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349
NaamLecture Notes in Artificial Intelligence
Volume11531
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres23rd Annual RoboCup International Symposium, RoboCup 2019
LandAustralië
StadSydney
Periode2/07/198/07/19

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