System to determine non-stationary objects in a physical space

An autonomous mobile device uses depth and image sensors to map a physical space. It distinguishes between stationary objects, like furniture, for long-term route planning and non-stationary objects, like people or pets, for immediate collision avoidance. The device specifically identifies non-stationary objects by analyzing the shape of their depth sensor data.

Why it matters: Filed before powerful edge AI processors and advanced machine learning models became widely available. These could significantly enhance the real-time object classification described in the claims.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSensors, processors, complex perception and navigation software.

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