Amazon Technologies, Inc.

Aarthi Raveendran

Karim Helwani

Nikhil Sharma

Amin Hani Atrash

Prashant Anand Srivastava

Tiago Etiene Queiroz

Alexander Caughron

Kevin V Macwan

Gaurav Guruprasad Manur

Tushar Agarwal

Systems and techniques for updating floor plans for use by autonomous mobile devices. The techniques include accessing a first floor plan with associated spatial metadata. An updated occupancy map is received with additional geographic updates over the first floor plan. A transformation of the first floor plan is determined to match the new occupancy map. The spatial data and the first floor plan are transformed and the transformed spatial metadata is associated with the new occupancy map to form a second floor plan.

Floor plan update 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

Aarthi Raveendran