Model-based Multi-Attribute Collaborative Production Cell Layout Optimization
Pieter Lietaert, Niels Billen, Sofie Burggraeve
- Year
- 2019
- Citations
- 12
Abstract
Designing the layout of a work cell remains a challenging problem due to the large search space of possible layouts which is often subjected to a variety of optimization objectives. This paper proposes a model-based methodology to aid the layout design of a collaborative work cell. This model takes into account feasibility, reachability, safety and ergonomics as constraints in the layout optimization formulation. Determining reachability and static placement feasibility is accomplished using 3D Computer Aided Design (CAD) files as inputs combined with inverse kinematics. Geometric characteristics, like bounding boxes, and assembly requirements are determined from the 3D CAD files and used in the layout optimization. Inverse kinematics is used to calculate the reach of the robots and to reliably estimate ergonomic workload of an operator in the work cell. The optimized layout of the work cell is visualized for every start and end point of an assembly task, which allows to provide task instructions to operators and could potentially be used to program the robots and cobots. The methodology is validated on a practical use case.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991