Non-nominal path planning for robust robotic assembly
Artikel i vetenskaplig tidskrift, 2013

In manufacturing and assembly processes it is important, in terms of time and money, to verify the feasi- bility of the operations at the design stage and at early production planning. To achieve that, verification in a virtual environment is often performed by using methods such as path planning and simulation of dimensional variation. Lately, these areas have gained interest both in industry and academia, however, they are almost always treated as separate activities, leading to unnecessary tight tolerances and on-line adjustments. To resolve this, we present a novel procedure based on the interaction between path planning tech- niques and variation simulation. This combined tool is able to compute robust assembly paths for industrial robots, i.e. paths less sensitive to the geometrical variation existing in the robot links, in its control system, and in the environment. This may lead to increased productivity and may limit error sources. The main idea to improve robustness is to enable robots to avoid motions in areas with high variation, preferring instead low variation zones. The method is able to deal with the different geometrical variation due to the different robot kinematic configurations. Computing variation might be a computa- tionally expensive task or variation data might be unavailable in the entire state space, therefore three different ways to estimate variation are also proposed and compared. An industrial test case from the automotive industry is successfully studied and the results are presented.

Quality assurance

Path planning

Robotics

Assembly

Dimensional control

Computer aided manufacturing

Författare

Johan Carlson

Chalmers, Produkt- och produktionsutveckling, Produktutveckling

Domenico Spensieri

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Rikard Söderberg

Chalmers, Produkt- och produktionsutveckling, Produktutveckling

Robert Bohlin

Stiftelsen Fraunhofer-Chalmers Centrum för Industrimatematik

Lars Lindkvist

Chalmers, Produkt- och produktionsutveckling, Produktutveckling

Journal of Manufacturing Systems

0278-6125 (ISSN)

Vol. 32 3 429-435

Ämneskategorier

Maskinteknik

Styrkeområden

Produktion

DOI

10.1016/j.jmsy.2013.04.013