Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning

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.

Authors

• Beom-Jin Lee
• Jinyoung Choi
• Chung-Yeon Lee
• Kyung-Wha Park
• Sungjun Choi
• Cheolho Han
• Dong-Sig Han Seoul National University
• Christina Baek
• Patrick Emaase
• Byoung-Tak Zhang Interdisciplinary Program in Artificial Intelligence, Seoul National University AIIS, Seoul National University Department of Computer Science, Seoul National University

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