Grounded language interpretation of robotic commands through structured learning

作者:

摘要

The presence of robots in everyday life is increasing day by day at a growing pace. Industrial and working environments, health-care assistance in public or domestic areas can benefit from robots' services to accomplish manifold tasks that are difficult and annoying for humans. In such scenarios, Natural Language interactions, enabling collaboration and robot control, are meant to be situated, in the sense that both the user and the robot access and make reference to the environment. Contextual knowledge may thus play a key role in solving inherent ambiguities of grounded language as, for example, the prepositional phrase attachment.

论文关键词:Spoken language understanding,Automatic interpretation of robotic commands,Grounded language learning,Human-Robot interaction

论文评审过程:Received 6 June 2018, Revised 17 September 2019, Accepted 1 October 2019, Available online 7 October 2019, Version of Record 4 November 2019.

论文官网地址:https://doi.org/10.1016/j.artint.2019.103181