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Automated Generation of Robot Trajectories for Assembly Processes Requiring Only Sparse Manual Input

Authors :
Henrik Gordon Petersen
Steffen Madsen
Milad Damanpak Jami
Source :
ICRA, Madsen, S, Jami, M D & Petersen, H G 2021, Automated Generation of Robot Trajectories for Assembly Processes Requiring Only Sparse Manual Input . in 2021 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, pp. 700-707, 2021 International Conference on Robotics and Automation (ICRA 2021), IEEE., Xi'an, China, 30/05/2021 . https://doi.org/10.1109/icra48506.2021.9561465
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

In this paper, a new method for offline programming part assembly operations with tight fittings is presented. More specifically, an assembly process trajectory generator with self programming capabilities is developed where the user needs to provide only very sparse and intuitive input. The presented system is added to the existing skill based robot software package VEROSIM. In VEROSIM, the trajectory generator is applied to an industrial test platform for assembling insulin injection devices at the Danish pharmaceutical company Novo Nordisk, where it is shown that the trajectories as expected are executable. Hence, the method is a strong alternative to online approaches such as programming by demonstration.

Details

Database :
OpenAIRE
Journal :
2021 IEEE International Conference on Robotics and Automation (ICRA)
Accession number :
edsair.doi.dedup.....4d80dac2cd6f967d194c9d2163e18b42
Full Text :
https://doi.org/10.1109/icra48506.2021.9561465