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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
1 Downloads (Pure)


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.

Original languageEnglish
Title of host publicationRoboCup 2019
Subtitle of host publicationRobot World Cup XXIII
EditorsStephan Chalup, Tim Niemueller, Jackrit Suthakorn, Mary-Anne Williams
Place of PublicationBerlin
Number of pages11
ISBN (Print)9783030356989
Publication statusPublished - 1 Jan 2019
Event23rd Annual RoboCup International Symposium, RoboCup 2019 - Sydney, Australia
Duration: 2 Jul 20198 Jul 2019

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameLecture Notes in Artificial Intelligence
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference23rd Annual RoboCup International Symposium, RoboCup 2019


Dive into the research topics of 'Tech United Eindhoven @Home 2019 champions paper'. Together they form a unique fingerprint.

Cite this