The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Describing constraint-based assembly tasks in unstructured natural language

På svenska

Author

Summary, in English

Task-level industrial robot programming is a mundane, error-prone activity requiring expertise and skill. Since humans easily communicate with natural language (NL), it may be attractive to use speech or text as instruction means for robots. However, there has to be a substantial amount of knowledge in the system to translate the high-level language instructions to executable robot programs.

In this paper, the method of Stenmark and Nugues (2013) for natural language programming of robotized assembly tasks is extended. The core idea of the method is to use a generic semantic parser to produce a set of predicate-argument structures from the input sentences. The algorithm presented here facilitates extraction of more complicated, advanced task instructions involving cardinalities, conditionals, parallelism and constraint-bounded programs, besides plain sequences of commands.

The bottleneck of this approach is the availability of easily parametrizable robotic skills and functionalities in the system, rather than the natural language understanding by itself.

Publishing year

2014

Language

English

Document type

Conference paper

Topic

  • Computer Science

Keywords

  • Robot programming
  • natural language
  • assembly
  • knowledge-based engineering.

Conference name

19th IFAC World Congress, 2014

Conference date

2014-08-24 - 2014-08-29

Conference place

Cape Town, South Africa

Status

Published