Authors:
E. Le Flécher
1
;
A. Durand-Petiteville
2
;
V. Cadenat
1
and
T. Sentenac
3
Affiliations:
1
CNRS, LAAS, 7 Avenue du Colonel Roche, F-31400 Toulouse, France, Univ. de Toulouse, UPS, F-31400, Toulouse and France
;
2
Mechanical Department of Federal University of Pernambuco (UFPE), Recife, Brazil {eleflech, cadenat and sentenac}@laas.fr ajsd@cin.ufpe.br
;
3
CNRS, LAAS, 7 Avenue du Colonel Roche, F-31400 Toulouse and France
Keyword(s):
Agricultural Robotics, Multi-arms, Non-linear Model Predictive Control, Image based Visual Servoing.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Mechatronics Systems
;
Robotics and Automation
Abstract:
This paper deals with multi-arms fruits picking in orchards. More specifically, the goal is to control the arms to approach the fruits position. To achieve this task a VPC strategy has been designed to take into account the dynamic of the environment as well as the various constraints inherent to the mechanical system, visual servoing manipulation and shared workspace. Our solution has been evaluated in simulation using on PR2 arms model. Different models of visual features prediction have been tested and the entire VPC strategy has been run on various cases. The obtained results show the interest and the efficiency of this strategy to perform a fruit picking task.