Abstract: This disclosure describes a distributed automated mobile vehicle (“automated mobile vehicle”) system for autonomously delivering orders of items to various delivery locations and/or autonomously returning items to a return location. In some implementations, each user may own or be assigned their own automated mobile vehicle that is associated with the user and an automated mobile vehicle control system maintained by the user. When the user orders an item, the user owned or controlled automated mobile vehicle navigates to a materials handling facility, retrieves the ordered item and delivers it to the user.

Abstract: This disclosure describes a distributed automated mobile vehicle (“automated mobile vehicle”) system for autonomously delivering orders of items to various delivery locations and/or autonomously returning items to a return location. In some implementations, each user may own or be assigned their own automated mobile vehicle that is associated with the user and an automated mobile vehicle control system maintained by the user. When the user orders an item, the user owned or controlled automated mobile vehicle navigates to a materials handling facility, retrieves the ordered item and delivers it to the user.

Abstract: A system and method for identifying an interesting area within video data using gaze tracking is provided. The system determines gaze vectors for individual faces and determines if the gazes are aligned on a single object. For example, the system may map the gaze vectors to a three-dimensional space and determine a point at which the gaze vectors converge. The point may be mapped to the video data to determine the interesting area having a high priority. The system may generate a heat map indicating gaze tracking over time to delineate persistent interesting areas and instantaneous interesting areas.

Abstract: Uncrewed autonomous vehicles (“UAVs”) may navigate from one location to another location. Described herein are systems, devices, and methods providing countermeasures for threats that may compromise the UAVs. A plurality of UAVs may establish a mesh network to distribute information to one another. A first UAV may receive external data from a second UAV using the mesh network. The external data may be used to confirm or cross-check data such as location, heading, altitude, and so forth. Disagreement between data generated by the first UAV with external data from the second UAV may result in the determination that the first UAV is compromised. Remedial actions may be taken, such as the first UAV may be directed to a safe location to land or park, may receive commands from another UAV, and so forth.