Monitoring and mapping with robot swarms for agricultural applications

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.

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Contributo in atti di convegno
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Albani, Dario
Ijsselmuiden, Joris
Haken, Ramon
Trianni, Vito
Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on, Lecce, Italy, 29/8/2017, 01/09/2017
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