Perception-Action-Learning System for Mobile Social-Service Robots Using Deep Learning
Lee, Beom-Jin (Seoul National University) | Choi, Jinyoung (Seoul National University) | Lee, Chung-Yeon (Seoul National University) | Park, Kyung-Wha (Seoul National University) | Choi, Sungjun (Seoul National University) | Han, Cheolho (Seoul National University) | Han, Dong-Sig (Seoul National University) | Baek, Christina (Seoul National University) | Emaase, Patrick Mokodir (Seoul National University) | Zhang, Byoung-Tak (Seoul National University)
We introduce a novel 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.
Feb-8-2018
- Country:
- Asia
- South Korea > Seoul
- Seoul (0.06)
- Japan > Honshū
- Chūbu > Aichi Prefecture > Nagoya (0.25)
- South Korea > Seoul
- Asia
- Industry:
- Health & Medicine > Health Care Providers & Services (0.89)
- Government > Social Services (0.89)
- Technology: