Amazon Technologies, Inc.

Other

Nathan Eugene Masters

Joseph Edwin Johnson, Jr

Shiblee Imtiaz Hasan

Benjamin Aldouby Schwartz

Connie Ruby Masters

Andrew C Masters

Michael Brian Stoops

Saurangshu Pandey

Mohamed Mostafa Ibrahim Elshenawy

JaeHa Oh

Manjeet Chayel Mohinder Singh

Slingshot device

Incompatible item pairings may be eliminated or at least reduced when multiple items are presented. A pairwise approach is taken to train a machine learning model to return an incompatibility score for any given pair of items, which indicates a degree of incompatibility between the pair of items. Once trained, the machine learning model may be used to determine an incompatibility score for each unique pairing of items in a set of multiple items. In some embodiments, a graph is generated having nodes that correspond to the multiple items and undirected edges between pairs of the nodes. Scores are generated for each edge of the graph, a minimum spanning tree in the graph is determined, and the items are ranked based at least in part on the minimum spanning tree so that the items can be presented according to the ranking.

Reducing incompatible pairings

Systems and methods are provided for augmenting or annotating image data to help a user locate an item among a number of items in a physical environment. The systems disclosed herein can access an image of a location that includes a number of items. The systems may then identify the items and the location of the items within the image. Further, the systems may create an interactive alternative visualization of the identified items to facilitate a user locating a particular item. For example, the alternative visualization may include presenting an ordered set of thumbnails corresponding to the items. The user can select the desired item using the alternative visualization and the systems can annotate a location within the image where the item can be located, thereby enabling the user to locate the item in the physical environment.

Image-based item location identification

Techniques for detecting dimensions of an object from a three dimensional (3D) image may be provided. Dimensions of an object may be determined based upon a received 3D image and calibration information for calibrating a dimension related to the 3D image. The calibration information may be utilized for calibrating aspect ratios of the 3D image. In an example, a recommended item may be identified and presented to the user based on the determined dimensions of the object.

Infrared driven item recommendations

Systems and methods are provided for determining dimensional criteria of a physical space and identifying a set of items that satisfy the dimensional criteria. For example, the dimensional criteria may be determined based on an image depicting the physical space or search terms provided by a user. Composite keys may be generated based on the dimensional criteria and one or more search terms provided by the user, and the generated composite keys may be used to search one or more databases storing sorted item keys and corresponding item identifiers.

Item selection based on dimensional criteria

A method, apparatus, and/or system for providing an action with respect to a mobile device using a robotic device that tracks the user. In accordance with at least one embodiment, a request to perform an action with respect to an electronic device is received. Information may be sent to one or more robotic devices within a proximity of the electronic device. A robotic device of the one or more robotic devices may be selected to perform the action. An indication may be received from the robotic device that indicates that the user has interacted with the robotic device. Instructions may be sent to the robotic device to perform the action with respect to the electronic device. A location of the user may be tracked while charging is performed by the robotic device. The robotic device may be instructed to follow the user at a threshold distance from the user.

Techniques for mobile device charging using robotic devices

A method, apparatus, and/or system for providing an action with respect to a mobile device using a robotic device that tracks the user and that interacts with a charging management engine. In accordance with at least one embodiment, a request to perform an action with respect to an electronic device is received. Information may be sent to one or more robotic devices within a proximity of the electronic device. A robotic device of the one or more robotic devices may be selected to perform the action. An indication may be received from the robotic device that indicates that the user has interacted with the robotic device. Instructions may be sent to the robotic device to perform the action with respect to the electronic device.

A method and apparatus for controlling the steering of a trailing section of a multi-sectioned vehicle is described. The trailing section follows the path of the first section. Data is acquired by a controller from sensors on the various sections. The controller then processes this data, generating a configuration needed for the controller-steered wheels to follow a path approximately equivalent to the path taken by the first steered section. Power is then applied by some means to steer these controller-steered wheels, forcing them into the desired configuration. The complexity of the control system can be varied with different algorithms providing alternative steering patterns as desired. This system can be extended with more trailing sections without necessitating more than minor changes to the control algorithms.

Robotic vehicle that tracks the path of a lead vehicle

This invention relates generally to systems used to steer trailing sections of articulated vehicles and trailers. The preferred embodiment of this invention is a steerable dolly that can be manually and/or automatically switched among multiple modes. The dolly receives its primary input from the angle of the rear of the front trailer (or other towing vehicle). There are at least two modes. In one mode the wheels of the dolly are steered in the opposite direction as the rear trailer, providing more maneuverability. In the other mode the wheels are steered in the same direction, providing a more stable mode. It is envisioned that the more stable mode would be used at high speeds while the more maneuverable mode would be used at lower speeds. There is also disclosed an alternate steering algorithm, which provides for additional maneuverability beyond that of the mode in which the wheels are steered in an opposite direction.

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Redmond, WA, United States of America

Nathan Eugene Masters