Episodes 175 through 183 have explored how robots perceive static objects, cluttered spaces, and slippery surfaces. But in the real world, humans are never still. This episode dissects the specific safety and logic failures that occur when autonomous mobile robots share airspace with walking people. We look at why collision avoidance algorithms struggle with unpredictable human trajectories, using a specific warehouse incident involving a forklift-style bot and a shifting worker to illustrate the gap between simulation and reality. The conversation covers dynamic obstacle detection, speed scaling, and the hidden engineering costs of making hardware safe for co-located labor.
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