%0 Journal Article
%T A review of methodologies for natural
%A Rui Liu
%A Xiaoli Zhang
%J International Journal of Advanced Robotic Systems
%@ 1729-8814
%D 2019
%R 10.1177/1729881419851402
%X Natural-language-facilitated human每robot cooperation refers to using natural language to facilitate interactive information sharing and task executions with a common goal constraint between robots and humans. Recently, natural-language-facilitated human每robot cooperation research has received increasing attention. Typical natural-language-facilitated human每robot cooperation scenarios include robotic daily assistance, robotic health caregiving, intelligent manufacturing, autonomous navigation, and robot social accompany. However, a thorough review, which can reveal latest methodologies of using natural language to facilitate human每robot cooperation, is missing. In this review, we comprehensively investigated natural-language-facilitated human每robot cooperation methodologies, by summarizing natural-language-facilitated human每robot cooperation research as three aspects (natural language instruction understanding, natural language-based execution plan generation, knowledge-world mapping). We also made in-depth analysis on theoretical methods, applications, and model advantages and disadvantages. Based on our paper review and perspective, future directions of natural-language-facilitated human每robot cooperation research were discussed
%K Natural language
%K human每robot cooperation
%K NL instruction understanding
%K NL-based execution plan generation
%K knowledge-world mapping
%U https://journals.sagepub.com/doi/full/10.1177/1729881419851402