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Program robots manufacturing tasks by natural language instructions

Yunyi Jia, Lanbo She, Yu Cheng, J. Bao, Joyce Chai, Ning Xi

Year
2016
Citations
14

Abstract

Robotic systems are traditionally programmed through off-line coding interfaces for manufacturing tasks. These programming methods are usually time-consuming and cost a lot of human efforts. They cannot meet the emerging requirements of robotic systems in many areas such as intelligent manufacturing and customized production. To address this issue, this paper develops a human-friendly approach to on-site program robots manufacturing tasks through human-robot interaction by natural language without need of off-line training data. The new programming approach consists of three processes: human teaching, robot learning and robot execution. Through them, the humans are able to use natural language to on-site program robot manufacturing tasks which can involve operations of both single and groups of objects. The effectiveness of the proposed approach is illustrated through experimental results.

Keywords

Computer scienceRobotNatural languageCoding (social sciences)Human–computer interactionArtificial intelligenceNatural language understandingSoftware engineering

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