This video was recorded at Scala Days Chicago 2017
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Abstract:
Streaming data is found everywhere: IOT devices, self-driving cars, social media, financial markets, and more. Processing such data involves aggregation, extraction of statistical data, online learning, behavior prediction, and acting on results on-the-fly -- forming a processing pipeline. Functional Programming can be used to effectively deal with these pipelines.

In this talk, I will show how functional programming concepts can be used with streaming data, with a specific application of real-time robot control, where all data is streaming. I will introduce Potassium, a Scala framework that facilitates the use of Scala collection-like APIs for processing sensor and computer vision data and sending control signals to actuators. We will explore how robot control systems can be modeled with functional concepts such as applicative functors. The net effect…

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