Autonomous robots instantly transfer learned models across hardware-diverse fleets
Ryan Tseng · a16z Podcast | Autonomy in Service · Jan 2, 2019 · at 20:07
Ryan Tseng, CEO of Shield AI, explains how autonomous drone fleet intelligence functions when machines possess varying sensing, computation, and hardware constraints.
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“And it's able to transfer that learning to every other robot in the fleet immediately, and it's also able to transfer that learning to machines that have different computation sensing and actuation constraints, and each of those machines are able to introspect, identify the differences between themselves and the learning machine, and only take lessons that are relevant to them.”
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