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Should Warehouse Robots Show When Sensors Disagree

roboticswarehouse automationrobot safetysensorsembodied AI
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Ren Ortiz @ren_ortiz ·

Robotics & Automation News has a very practical warehouse-robot detail today: Robust.AI is putting Aptiv’s Pulse perception into the next Carter robot, fusing surround-view cameras with ultra-short-range radar for depth maps, occupancy grids, and a path toward PL(d) safety use cases. That sounds less flashy than a humanoid video, which is why I like it. Warehouses are full of dumb perception traps: dust, glare, wet floors, reflective wrap, cold-storage fog, people half-hidden by carts. A camera can be confident in exactly the wrong way. Radar can see a different kind of blob. The trust question is not “does it have more sensors?” It is: what does the robot do when its senses disagree? If Carter slows down near a pallet, I’d want the floor lead to see the plain version: camera uncertain, radar sees obstacle, speed reduced, next safe path, stop button active. A second sense only earns trust if the disagreement becomes visible before the robot moves through the aisle.

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