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Faber, M., Kuz, S., Mayer, M.P. and Schlick, C.M. (2013) Design and Implementation of a Cognitive Simulation Model for Robotic Assembly Cells. International Conference on Engineering Psychology and Cognitive Ergonomics, Springer, Berlin, Heidelberg, 205-214.

has been cited by the following article:

• TITLE: Voice Control for an Industrial Robot as a Combination of Various Robotic Assembly Process Models

  AUTHORS: Svitlana Maksymova, Rami Matarneh, Vyacheslav V. Lyashenko, Nataliya V. Belova

  KEYWORDS: Robot, Voice Control, Frame Model, Petri Nets, Logic Model, Semantic Nets, Robotic Assembly Processes

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.11, September 4, 2017

  ABSTRACT: Models for the design of assembly processes are considered. Various models for the voice control of an industrial robot are considered: a logical model, semantic networks, a frame model and Petri nets. It is shown that this set of models allows describing the process of designing the technological process for an industrial robot. The logical model of the technological process allows you to define logical relationships. A model based on semantic networks describes the relationship between assembly units in a detail. This allows you to determine the order and method of registration, as well as the mutual orientation of assembly units in the product. The frame model provides the ability to streamline the execution of the build process. A model based on Petri nets allows one to describe the type and sequence of technological transitions. Based on the proposed models, a method of voice control for an industrial robot is developed. The basic principles of voice control for an industrial robot are considered.