A Model For Verifiable Grounding And Execution Of Complex Natural Language Instructions
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)（2016）
摘要
Current methods of grounding natural language instructions do not include reactive or temporal components, making these methods unsuitable for instructions describing tasks as sets of conditional instructions. We introduce the Verifiable Distributed Correspondence Graph (V-DCG) model, which enables the validation of natural language instructions by using Linear Temporal Logic (LTL) specifications together with physical world groundings. We demonstrate the V-DCG model on a physical robot and provide examples of the output our system produces for natural language instructions.
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关键词
complex natural language instruction verifiable grounding,complex natural language instruction execution,conditional instructions,verifiable distributed correspondence graph model,V-DCG model,natural language instruction validation,linear temporal logic specifications,LTL specifications,physical world groundings,physical robot
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