The H2020 METRICS project (2020-2023) organizes competitions in four application areas (Healthcare, Infrastructure Inspection and Maintenance, Agri-Food, and Agile Production) relying on both physical testing facilities (field evaluation campaign) and virtual testing facilities (data-based evaluation campaign) to mobilize, in addition to the European robotics community, the artificial intelligence one. This article presents this approach and pave the way for a new robotics and artificial intelligence competition paradigm.
The aim of ACRE (Agri-food Competition for Robot Evaluation) is to provide a set of benchmarks for agricultural robots and smart implements. While involving capabilities of general application, ACRE puts a special focus on weeding, identified as one of the tasks where it is easier for robotics to demonstrate its potential. ACRE, as the other three robot competitions that are being organised by European project METRICS, is built on the established idea of benchmarking through competitions. In this paper we present the framework of ACRE and examples of its benchmarks.