The project is concerned with research in adaptive learning algorithms. The algorithms will enable robots to react to variations in input, perform ongoing corrections during operations and make adjustments to subsequent operations based on evaluation of the output.
In processes such as the slaughtering of animals and processing of meat, the carcasses and cuts vary in size and composition. The traditional control systems for automatic processes in slaughterhouses rely on strict standardization of these products. When this cannot be guaranteed, automation is either abandoned or large margins of error are introduced, resulting in high cost and suboptimal utilization of the resources. Moreover, customers require that the end-product is customized according to their individual preferences, something traditional automated systems have difficulties handling. With large variations in both input and output, an adaptive robot platform is preferable to more dedicated production machinery.
Translated title of the contributionAdaptive og selv-lærende slagterobotter
Original languageEnglish
Title of host publication6th Aalborg U Robotics Workshop
Number of pages1
Publication date27 Nov 2017
Publication statusPublished - 27 Nov 2017
Event6th Aalborg U Robotics Workshop - Aalborg, Denmark
Duration: 27 Nov 201727 Nov 2017


Conference6th Aalborg U Robotics Workshop


Dive into the research topics of 'Adaptive and Self-learning Slaughter Robots'. Together they form a unique fingerprint.

Cite this