Data-Driven Imitation Learning for a Shopkeeper Robot with Periodically Changing Product Information (CROSBI ID 297515)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Doering, Malcolm ; Brščić, Dražen ; Kanda, Takayuki
engleski
Data-Driven Imitation Learning for a Shopkeeper Robot with Periodically Changing Product Information
Data-driven imitation learning enables service robots to learn social interaction behaviors, but these systems cannot adapt after training to changes in the environment, such as changing products in a store. To solve this, a novel learning system that uses neural attention and approximate string matching to copy information from a product information database to its output is proposed. A camera shop interaction dataset was simulated for training/testing. The proposed system was found to outperform a baseline and a previous state of the art in an offline, human-judged evaluation.
learning from demonstrations ; HCI theory, concepts and models ; robotics ; question answering
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o izdanju
Povezanost rada
Računarstvo