Disney Enterprises, Inc.

Other

Jerry W Rees

Michael Paul Goslin

Timothy M Panec

Jason A Yeung

Corey D Drake

Hunter J Gibson

Kyle G Freeman

Raymond J Scanlon

Michael Richard Honeck

Jeremy Andrew Mika

Cory J Rouse

Kyle Michael Cesare

Michael Anthony Hopkins

Michael Fusco

Shelley O Short

Kyle Robert Thompson

Scott Christopher Lavalley

Jared Edward Bishop

Dexter J Dickinson

Embodiments provide interactive artificial intelligence. Input to an artificial intelligence (AI) system is received, where the AI system comprises a plurality of machine learning (ML) models. A context of the input is determined, where the context indicates a role-playing scenario. A first ML model of the plurality of ML models is then selected based on the determined context, where the first ML model was trained based at least in part on the role-playing scenario. Output is generated by processing the input using the first ML model. The output is then returned.

Artificial intelligence-based roleplaying experiences based on user-selected scenarios

A robot actor, or character mobility hardware platform, adapted to unleash or provide a wide variety of characters in the physical world. The robot actor enables the often screen-constrained characters to become life-like, interactive participants with nearby people in ways not presently achievable. The robot actor is an untethered, free-roaming robot that is has two (or more) legs, is adapted for high dexterity, is controlled and designed to be self-balancing, and, due to this combination of characteristics, the robot can provide characters with an illusion of life and, in many cases, in correct proportion and scale. The hardware and software of the robot actor will become a new generation of animatronic figures by providing a hardware platform capable of continuously evolving to become more capable through advances in controls and artificial intelligence (AI).

Legged high-dexterity self-balancing capable robot actor

A self-guiding automaton includes sensors, a hardware processor, and a memory storing a self-guidance software code. The hardware processor executes the self-guidance software code to detect a location and/or travel path of one or more human being(s) in a pedestrian environment using the sensors, and identify a self-guided path forward in the pedestrian environment based on the location and/or travel path of each human being(s). The self-guidance software code also determines a social cue for communicating the self-guided path forward to the human being(s), detects any change in the location and/or travel path of each human being(s) using the sensors, determines a pedestrian safety score of the self-guided path forward based on the location and/or travel path and any change in the location and/or travel path of each human being(s), and moves the automaton along the self-guided path forward if the pedestrian safety score satisfies a safety threshold.

Communicative self-guiding automation

Growing community of inventors

Glendale, CA, United States of America

Jerry W Rees