Title | ||
---|---|---|
Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning. |
Abstract | ||
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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 Lee | 1 | 7 | 2.57 |
Jinyoung Choi | 2 | 7 | 1.43 |
Chung-yeon Lee | 3 | 13 | 4.87 |
Kyung-Wha Park | 4 | 0 | 1.01 |
SungJun Choi | 5 | 29 | 1.66 |
Cheolho Han | 6 | 0 | 0.68 |
Dong-Sig Han | 7 | 0 | 0.34 |
Christina Baek | 8 | 1 | 1.37 |
Patrick Mokodir Emaase | 9 | 0 | 0.34 |
Byoung-Tak Zhang | 10 | 1571 | 158.56 |