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In the best scenario, removing a feature, like e.g. the Dispatching Firmware responsibility from our example, could be as easy as removing modules which are responsible for it, in our example it would be: “FirmwareDispatcher” and “FirmwareDispatcher.Infra” (and their wiring in the Entrypoint module).

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Robot vacuums with "climbing" capabilities also use AI to better determine which obstacles they can (and should) actually try to scale, and which they should stay away from. The Dreame X60 Max Ultra Complete and Roborock Qrevo Curv 2 Flow both have retractable legs that can hoist the vacuum's chassis a few inches up and over various thresholds. Using AI to make a game-time decision, these smart vacs know which small barriers to smoothly drive over (thick floor type changes or door saddles, sliding door tracks into another room or closet, or chair legs that lay flat across the floor) and which small barriers to steer around (like shoes.) AI-powered robot vacuums have a better concept of where they can fit in general, making them much less likely to get stuck.

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