计算机工程与应用2017，Vol.53Issue(8)：113-119,7.DOI:10.3778/j.issn.1002-8331.1509-0096
基于自然语言的分拣机器人解析器技术研究
Research on sorting robot parser based on natural language understanding
摘要
Abstract
Industrial robots usually adopt specific robot language to teach programming and controlling, which needs high professional skills for operators. In addition, longer period of teaching programming can reduce the efficiency. In order to raise the efficiency and the applicability of industrial robots, this essay presents a kind of design approach based on con-strained natural language parser. By lexical parsing, grammar parsing and semantic parsing to constrained natural language, this system can get the needed working intent, afterwards, it matches with real-time producing three-dimensional semantic map. Combing manipulator trajectory planning, it eventually generates robot operating program that can finish the targets. Besides, it finishes parsing the robot operating program and controlling the actual manipulator. By doing experiment, it appears that the robot parser handled based on limited natural language in this essay can correctly parse natural language commands, finally can achieve the controlling to the manipulator.关键词
受限自然语言/机器人语言/解析器/轨迹规划Key words
constrained natural language/robot language/parser/trajectory planning分类
信息技术与安全科学引用本文复制引用
熊志恒,闵华松..基于自然语言的分拣机器人解析器技术研究[J].计算机工程与应用,2017,53(8):113-119,7.基金项目
国家自然科学基金(No.61175094). （No.61175094）
