System and method for object detection using a probabilistic observation model

This invention describes a robot that can spot hidden objects. It works by using its sensors to identify visible objects, then calculates how likely it is that something is hidden behind them. The robot then adjusts its actions based on this likelihood, using a pre-defined table that links visible objects and the robot's position to the chance of something being hidden.

Why it matters: Filed before advanced AI and machine learning could dynamically infer complex occlusions. Modern deep learning models can now generate or update the lookup table for more robust prediction.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedRobotic device, sensors, complex software system

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