Reproducing the work of others is one of the main pillars of scientific research. It allows researchers collectively to advance their research fields and cross-validate results across institutions, circumstances, experimental variation etc. When research is irreproducible, or unable to be replicated, it hinders technological uptake in industry regardless of research area and further impairs the credibility of the academic field. For real-world robot learning reproducibility issues have resulted in a crisis where research is published – even in large, well-known and respected conferences and journals – despite many studies failing to report all necessary details accurately. We refer to this kind of research as “look ma no hands” research.
Through this talk we will dive deeper into what issues lead to irreproducible research and how we at Universal Robots deal with them. We will furthermore look into how UR's platform can be used for 3rd party development to create awesome and world-leading automation solutions.
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