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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chocron, Olivier Delaleau, Emmanuel Fleureau, Jean-Luc |
| Copyright Year | 2007 |
| Description | Author affiliation: Laboratoire de recherche en mécatronique, École nationale d'ingénieurs de Brest, Technopôle Brest-Iroise, CS 73 862, 29 238 Brest, France. Email: delaleau@enib.fr (Delaleau, Emmanuel) || AGRO DEAL, 17 Rue Jean Catelas, 29 200 Brest, France. Email: jc.fleureau@wanadoo.fr (Fleureau, Jean-Luc) || Laboratoire de recherche en mécatronique, École nationale d'ingénieurs de Brest, Technopôle Brest-Iroise, CS 73 862, 29 238 Brest, France. Email: chocron@enib.fr (Chocron, Olivier) |
| Abstract | This paper describes an advanced command method for controlling a weed killer robot designed to work through corn ranks autonomously. The control task consists in guiding precisely the robot between two ranks of young corn seedlings while it weeds. The kinematic model developed shows the non linearity of the system and how it impacts the command accuracy of the robot. We bring here, for the first time, a high-level control based on non linear equations to aim for a very robust control method. Robustness is needed in this kind of applications because of the important uncertainties and perturbations in the environment. In this way, we hope the future robot will be able to work in spite of mud, cracks and rocks present on its track. |
| Starting Page | 2214 |
| Ending Page | 2219 |
| File Size | 2921203 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424407545 |
| DOI | 10.1109/ISIE.2007.4374952 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-06-04 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mechatronics Mobile robots Robot sensing systems Kinematics Service robots Robot vision systems Equations Chemicals Agriculture Wheels |
| Content Type | Text |
| Resource Type | Article |
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