Amazon Technologies, Inc.

Alexander Caughron

Aarthi Raveendran

Karim Helwani

Nikhil Sharma

Amin Hani Atrash

Gaurav Guruprasad Manur

Kevin V Macwan

Ruchi Agarwal

Systems and techniques for generation, storage, and updating of common floor plans across shared autonomous mobile devices. The systems and techniques include a central server having a floor plan stored thereon. The floor plan is updated by receiving an updated floor plan or updated data from one or more of the autonomous mobile devices. The floor plan is updated and subsequently propagated across all the autonomous mobile devices in the environment to ensure consistency and accuracy of floor plans.

Shared floor plan system for autonomous mobile devices

A system may perform adaptive target presence probability to predict a location of a user (e.g., target) at a given time based on accumulated observations. For example, the system may track a location of the user over time and generate observation data associated with a user profile. The observation data may include a plurality of observations, with a single observation corresponding to a location and time at which the user was detected. The system may apply a clustering algorithm to the observation data to generate probability distributions (e.g., clusters) associated with discrete locations. For example, the system may group observations that are in proximity to each other and separate the groups based on location. Using the probability distribution for an individual cluster, the system may determine a likelihood that the user is present at a location corresponding to the cluster.

Adaptive target presence probability estimation

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San Jose, CA, United States of America

Alexander Caughron