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Perception-action-learning system for mobile social-service robots using deep learning

Cited 0 time in Web of Science Cited 7 time in Scopus
Authors

Lee, Beom-Jin; Choi, Jinyoung; Lee, Chung-Yeon; Park, Kyung-Wha; Choi, Sungjun; Han, Cheolho; Han, Dong-Sig; Baek, Christina; Emaase, Patrick; Zhang, Byoung-Tak

Issue Date
2018-01
Publisher
AAAI press
Citation
32nd AAAI Conference on Artificial Intelligence, AAAI 2018, pp.8208-8209
Abstract
Copyright © 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. We introduce a robust integrated perception-action-learning system for mobile social-service robots. The state-of-the-art deep learning techniques were incorporated into each module which significantly improves the performance in solving social service tasks. The system not only demonstrated fast and robust performance in a homelike environment but also achieved the highest score in the RoboCup2017@Home Social Standard Platform League (SSPL) held in Nagoya, Japan.
URI
https://hdl.handle.net/10371/179345
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