Adaptive modeling for robot systems based on behaviors and feature driven shape descriptions

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Growing application of robots in production at various sectors of industry is a strong trend. Highly flexible design, analysis and manufacturing planning in engineering for quick and frequent changes of product structure and parts as well as short throughput times need highly flexible manufacturing process and equipment control. Engineering is being moved into globally organized systems where product data management (PDM), Internet portal and collaborative communication integrate powerful modeling for product lifetime management (PLM). Handling of behaviors and adaptivities of modeled engineering objects by advanced modeling has become very important. This tendency motivated the authors to propose and detail a new approach to engineering process based modeling of robot application systems. The proposed modeling is featured by generalized definition of entities in product model, high dependence on shape aspects and other features, multilevel approach to modeling, and means for handling of situations and communications. The authors proposed integrated model objects for description of strongly interrelated engineering objects, application of human intent originated knowledge, and resolution of conflicts at human intent driven decision making. An integrated model is introduced for placing by robot together with feature definitions specific for part placing. Situation based behaviors are explained and exampled. The paper introduces an extended feature driven modeling of industrial robots. Following this, structure of model object for adaptivity-based handling of modifications is explained. Then human intent filtered knowledge is emphasized and conflicts are characterized. The authors present an unified process based solution for modeling of robot system. Finally, behaviors for design objectives are placed in industrially applied structure of model mechanical systems.

Original languageEnglish
Pages (from-to)1761-1771
Number of pages11
JournalWSEAS Transactions on Information Science and Applications
Volume2
Issue number11
Publication statusPublished - Nov 1 2005

Keywords

  • Behavior based modeling
  • Large-scale integration of models
  • Modeling by features
  • Product modeling
  • Robot control in manufacturing

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications

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