Title
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning.
Abstract
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.
Year
Venue
Field
2018
THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
Social work,Computer science,Action learning,Human–computer interaction,Artificial intelligence,Deep learning,Robot,Perception,Machine learning
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
10
Name
Order
Citations
PageRank
Beom-Jin Lee172.57
Jinyoung Choi271.43
Chung-yeon Lee3134.87
Kyung-Wha Park401.01
SungJun Choi5291.66
Cheolho Han600.68
Dong-Sig Han700.34
Christina Baek811.37
Patrick Mokodir Emaase900.34
Byoung-Tak Zhang101571158.56