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From High-Level Task Descriptions to Executable Robot Code

  • Maj Stenmark
  • Jacek Malec
  • Andreas Stolt
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 323)

Abstract

For robots to be productive co-workers in the manufacturing industry, it is necessary that their human colleagues can interact with them and instruct them in a simple manner. The goal of our research is to lower the threshold for humans to instruct manipulation tasks, especially sensor-controlled assembly. In our previous work we have presented tools for high-level task instruction, while in this paper we present how these symbolic descriptions of object manipulation are translated into executable code for our hybrid industrial robot controllers.

Keywords

State Machine Kinematic Chain Industrial Robot Robot Controller Executable Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Dept. of Computer ScienceLund UniversityLundSweden
  2. 2.Dept. of Automatic ControlLund UniversityLundSweden

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