Seite - 117 - in Proceedings - OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Bild der Seite - 117 -
Text der Seite - 117 -
TowardsAgriculturalRobotics forOrganicFarming ∗
GeorgHalmetschlager1, JohannPrankl1, andMarkusVincze1
FacultyofElectricalEngineering,Automationand Control Institute, Vision for
Robotics Laboratory,ViennaUniversityofTechnology,A-1040Vienna,Austria.
lastname@acin.tuwien.ac.at
Abstract
In big scale agricultural farming complex machines with advanced technology shape already the
daily routine. In opposite, the field of organic farming is still characterized by multiple manual tasks
that include heavy labor. Our vision is that the fields of automation and robotics offer the necessary
technology to lift the burden of back-breaking work off the worker’s shoulders. Hence, we propose a
scalable and modular agricultural robotic concept that advances farming to the next higher technol-
ogy level. Weprovidea low-costandflexibledesign inorder torealizedifferentautonomousapplica-
tions, specialized for light weight agricultural work. As proof of concept the proposed configuration
is integrated and validated as the experimental platform FRANC. All experiments are performed in
real-lifeoutdoorscenariosasvegetablefields thataresowedorplanted inrowstructures. Therefore,
weutilizea localnavigationsystembasedonaself-parameterizingcroprowdetection, thatenablesa
local,adaptable,andGPS-independentnavigation. The tests showthat thehardwareandsoftwareof
the designed system is able to handle rough terrain, offers a high maneuverability, and is adaptable
todifferent row-structures.
1. Introduction
Within the last decades new automation technologies, industrial robots and sophisticated automa-
tion machineries entered the food production chain and led to a higher efficiency and increased the
productivityof theharvestingprocess.
Sensors and software that transform classic agricultural machineries into semi-autonomous systems
are already available on the market [11]. We belief that robotics has the ability to advance this semi-
autonomous systems to the next higher technological level and promises to answer the question how
theproductionchaincanbefullyautomatedineachsinglestepofthefoodproduction,startingalready
at the cultivation of the crops. Therefore we developed a scalable, and modular agricultural robotic
systemssuitable tobetter support light-weight agriculturalwork.
Asstatedby[17],onewayto increase theeconomicefficiency infuturecropproductionmaybedone
better and cheaper with a swarm of small machines than with a few large ones. By the means of our
modular concept re-designing existing solutions can be avoided and it becomes possible to enhance
existing solutions with robotic modules, for instance a conventional finger cultivator can be turned
intoa robotbyattaching the respective robotmodule.
∗ThisworkwasfundedbySparklingScienceaprogrammeof theFederalMinistryofScienceandResearchofAustria
(SPA04/84 -FRANC).
117
Proceedings
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
- Titel
- Proceedings
- Untertitel
- OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
- Autoren
- Peter M. Roth
- Kurt Niel
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Wels
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-85125-527-0
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 248
- Schlagwörter
- Tagungsband
- Kategorien
- International
- Tagungsbände