One of the reasons behind modern advancements is the ability to collect, process, and use a wealth of data from every human activity. During this session, we will discuss how data can be used to improve production efficiency. Data-driven methods can be employed to create better models of robot performance and reduce the complexity of robot programming. Potentially, a robot database containing information on previous robot solutions can save time and money for manufacturing companies and enable smaller-scale companies to automate their production as well. Additionally, data-driven methods play a crucial role in AI robotics by enabling robots to learn, adapt, and make informed decisions based on data.
Norbert Kruger - Professor - Robotics, University of Southern Denmark
Juan Esteban Heredia Mena - Assistant Professor - SDU Software Engineering
Emil Stubbe Kolvig-Raun - Universal Robots
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