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
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