TU Darmstadt / ULB / TUbiblio

Time Optimal Path Planning for Industrial Robots Using STL Data Files

Abele, Eberhard ; Hähn, Felix ; Pischan, Matthias ; Herr, Florian (2016):
Time Optimal Path Planning for Industrial Robots Using STL Data Files.
In: Procedia CIRP, 5th CIRP Global Web Conference – Research and Innovation for Future Production, Elsevier B.V., 55, pp. 6-11. ISSN 2212-8271,
[Article]

Abstract

This paper presents an approach based on the A*-Algorithm to generate time optimal tool paths for a robot based deburring process of internal contours. Besides the optimization of the deburring process by using special deburring tools with proper parameters the robots trajectory between the individual points has to be optimized to minimize the deburring process. The simulation environment OpenRAVE with a Matlab interface is used to find the shortest path by solving the traveling salesman problem of a graph automatically generated using the workpiece in the Surface Tessellation Language (STL) data file.

Item Type: Article
Erschienen: 2016
Creators: Abele, Eberhard ; Hähn, Felix ; Pischan, Matthias ; Herr, Florian
Title: Time Optimal Path Planning for Industrial Robots Using STL Data Files
Language: English
Abstract:

This paper presents an approach based on the A*-Algorithm to generate time optimal tool paths for a robot based deburring process of internal contours. Besides the optimization of the deburring process by using special deburring tools with proper parameters the robots trajectory between the individual points has to be optimized to minimize the deburring process. The simulation environment OpenRAVE with a Matlab interface is used to find the shortest path by solving the traveling salesman problem of a graph automatically generated using the workpiece in the Surface Tessellation Language (STL) data file.

Journal or Publication Title: Procedia CIRP, 5th CIRP Global Web Conference – Research and Innovation for Future Production, Elsevier B.V.
Volume of the journal: 55
Uncontrolled Keywords: energy control; load management; machine tools
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > Machine tools and Components (2021 merged in TEC Fertigungstechnologie)
Date Deposited: 24 Nov 2016 14:07
URL / URN: http://dx.doi.org/10.1016/j.procir.2016.08.038
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details