Knowledge-enabled Design of Cooperating Robots Assembly Cells
Nikolaos Papakostas, George Pintzos, M. Matsas, George Chryssolouris
- Year
- 2014
- Citations
- 11
Abstract
This paper addresses the problem of modeling, integrating and utilizing existing knowledge for the designing of cooperating robots assembly cells. A knowledge-enabled approach is presented, allowing for the combined use of information pertaining to past engineering projects and of an advanced digital environment. The proposed approach, in the form of a rule-based model, is capable of generating process design alternatives that take into consideration the performance requirements as well as the constraints and 3D specifications of both robotic manipulators and parts. An automotive Body-In- White (BIW) assembly cell case is presented.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002