Disney Enterprises, Inc.

Nicholas F Barone

Michael Paul Goslin

Clifford W Wong

Elliott H Baumbach

Jason A Yeung

Corey D Drake

Nathan D Nocon

Timothy M Panec

Tritia V Medrano

Embodiments provide for autonomous drone play and directional alignment by in response to receiving a command for a remotely controlled device to perform a behavior, monitoring a first series of actions performed by the remotely controlled device that comprise the behavior; receiving feedback related to how the remotely controlled device performs the behavior, wherein the feedback is received from at least one of a user, a second device, and environmental sensors; updating, according to the feedback, a machine learning model used by the remotely controlled device to produce a second, different series of actions to perform the behavior; and in response to receiving a subsequent command to perform the behavior, instructing the remotely controlled device to perform the second series of actions.

Autonomous drone play and directional alignment

A method and associated computer program product and system are disclosed. The method comprises, while a battery-operated vehicle is not being charged by a power supply, receiving a first input at a user interface displayed on a computing device. The method further comprises, responsive to the first input, wirelessly transmitting a first control signal to the battery-operated vehicle to control motive operation thereof. The method further comprises, responsive to receiving an indication that the battery-operated vehicle is being charged by the power supply, displaying one or more tasks to be completed using the user interface. The method further comprises receiving a second input at the user interface while the one or more tasks are displayed, and responsive to the second input, wirelessly transmitting a second control signal to operate one or more output devices of the battery-operated vehicle.

Interactive charging of battery-operated vehicles

Embodiments provide for reconciling a first map of an environment created by a first device with a second map of the environment created by a second device by determining a first confidence score for a first location of a given object in the first map; determining a second confidence score for a second location of the given object in the second map; inserting the given object into a reconciled map at a position based on the first confidence score and the second confidence score; anchoring an Augmented Reality object in the reconciled map at coordinates based on the position of the given object; and outputting the reconciled map to an Augmented Reality device.

Environmental mapping for augmented reality

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Glendale, CA, United States of America

Nicholas F Barone