Monitoring and mapping with robot swarms for agricultural applications

Dario Albani, Joris Ijsselmuiden, Ramon Haken, Vito Trianni

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

86 Citations (Scopus)

Abstract

Robotics is expected to play a major role in the agricultural domain, and often multi-robot systems and collaborative approaches are mentioned as potential solutions to improve efficiency and system robustness. Among the multi-robot approaches, swarm robotics stresses aspects like flexibility, scalability and robustness in solving complex tasks, and is considered very relevant for precision farming and large-scale agricultural applications. However, swarm robotics research is still confined into the lab, and no application in the field is currently available. In this paper, we describe a roadmap to bring swarm robotics to the field within the domain of weed control problems. This roadmap is implemented within the experiment SAGA, founded within the context of the ECORD++ EU Project. Together with the experiment concept, we introduce baseline results for the target scenario of monitoring and mapping weed in a field by means of a swarm of UAVs.
Original languageEnglish
Title of host publication2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
PublisherIEEE
ISBN (Electronic)9781538629390
DOIs
Publication statusPublished - 20 Oct 2017
Event14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017 - Lecce, Italy
Duration: 29 Aug 20171 Sept 2017

Conference

Conference14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Country/TerritoryItaly
CityLecce
Period29/08/171/09/17

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