Artificial cognition for social human–robot interaction: An implementation
作者:
摘要
Human–Robot Interaction challenges Artificial Intelligence in many regards: dynamic, partially unknown environments that were not originally designed for robots; a broad variety of situations with rich semantics to understand and interpret; physical interactions with humans that requires fine, low-latency yet socially acceptable control strategies; natural and multi-modal communication which mandates common-sense knowledge and the representation of possibly divergent mental models. This article is an attempt to characterise these challenges and to exhibit a set of key decisional issues that need to be addressed for a cognitive robot to successfully share space and tasks with a human.
论文关键词:Human–robot interaction,Cognitive robotics,Perspective taking,Cognitive architecture,Knowledge representation and reasoning
论文评审过程:Revised 4 July 2016, Accepted 9 July 2016, Available online 26 July 2016, Version of Record 25 April 2017.
论文官网地址:https://doi.org/10.1016/j.artint.2016.07.002