Learning of Object Identification by Robots Controlled by Natural Language

نویسندگان

  • Chandimal Jayawardena
  • Keigo Watanabe
  • Kiyotaka Izumi
چکیده

Natural language communication is very important in Human-Robot cooperative work. This paper presents an object sorting robotic system which is controlled by natural language commands. A PA-10 robot manipulator is issued commands like “pick the big red cube” to pick objects placed on a table. The robot learns to interpret the meaning of this type of natural commands by learning individual lexical symbols in the grammar and their corresponding object features.

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عنوان ژورنال:
  • Engineering Letters

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2006