TY - GEN
T1 - Tech United Eindhoven @Home 2022 Champions Paper
AU - Aggarwal, Arpit
AU - van der Burgh, Mathijs F.B.
AU - Lunenburg, Janno J.M.
AU - Appeldoorn, Rein P.W.
AU - van Beek, Loy L.A.M.
AU - Geijsberts, Josja
AU - Janssen, Lars G.L.
AU - van Dooren, Peter
AU - Messing, Lotte
AU - Núñez, Rodrigo Martin
AU - van de Molengraft, M.J.G.
PY - 2023/3/24
Y1 - 2023/3/24
N2 - 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 for straightforward implementation of localization, navigation, exploration, object detection & recognition, object manipulation and human-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 2022 include people and pose recognition, usage of HSR’s display and a new speech recognition system.
AB - 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 for straightforward implementation of localization, navigation, exploration, object detection & recognition, object manipulation and human-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 2022 include people and pose recognition, usage of HSR’s display and a new speech recognition system.
UR - https://www.scopus.com/pages/publications/85152553287
U2 - 10.1007/978-3-031-28469-4_22
DO - 10.1007/978-3-031-28469-4_22
M3 - Conference contribution
AN - SCOPUS:85152553287
SN - 978-3-031-28468-7
T3 - Lecture Notes in Computer Science (LNCS)
SP - 264
EP - 275
BT - RoboCup 2022: Robot World Cup XXV
A2 - Eguchi, Amy
A2 - Lau, Nuno
A2 - Paetzel-Prüsmann, Maike
A2 - Wanichanon, Thanapat
PB - Springer
CY - Cham
T2 - 25th RoboCup International Symposium, Robocup 2022
Y2 - 11 July 2022 through 17 July 2022
ER -