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Robot Location Estimation in the Situation Calculus
Location estimation is a fundamental sensing task in robotic applications, where the world is uncertain, and sensors and effectors are noisy.
Reasoning about Probabilities in Dynamic Systems using Goal Regression
Reasoning about degrees of belief in uncertain dynamic worlds is fundamental to many applications, such as robotics and planning, where actions modify state properties and sensors provide measurements, both of which are prone to noise.
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