We were mainly looking at how to manage work flows in general, but the same goal really. Replace some of the resource components with robots, people, analytics external flows. Like to see the examples of how and measures of results. Reinforcement training would seem to be a natural approach.
Amazon launches reinforcement learning tools to manage robots’ workflows By Kyle Wiggers @Kyle_L_Wiggers in Venturebeat
Amazon today launched SageMaker Reinforcement Learning (RL) Kubeflow Components, a toolkit supporting the company’s AWS RoboMaker service for orchestrating robotics workflows. Amazon says that the goal is to make it faster to experiment and manage robotics workloads from perception to controls and optimization, and to create end-to-end solutions without having to rebuild them each time.
Robots are being used more widely for purposes that are increasing in sophistication, like assembly, picking and packing, last-mile delivery, environmental monitoring, search and rescue, and assisted surgery. In China, Oxford Economics anticipates 12.5 million manufacturing jobs will become automated, while in the U.S., McKinsey projects machines will take upwards of 30% of such jobs. As for reinforcement learning, it’s an emerging AI technique that can help develop solutions for the kinds of problems that are increasingly cropping up in robotics. ... "
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