Disney Enterprises, Inc.

Jeremy Andrew Mika

Michael Richard Honeck

Michael Fusco

Kyle G Freeman

Joseph George Hager, Iv

Cory J Rouse

Shelley O Short

Clifford W Wong

Jon Hayes Snoddy

Raymond J Scanlon

Jeremie A Papon

Daniel C Pike

Jerry W Rees

Lance Duane Updyke

Embodiments provide techniques for managing access to files on a computing system. An example method generally includes receiving, from an application, a request by a user to access a specified file on a file system through the application. A permission record is retrieved from a permission repository based on information about the application, the user, and the specified file. A determination is made of whether the user has permission to access a directory in the file system in which the specified file is located, and a determination is made of whether the application is allowed to access the specified file. Based on determining that the user has permission to access the directory in which the specified file is located and determining that the application has permission to access the specified file, the specified file is retrieved from the directory, and the application is granted access to the specified file.

Application-specific access privileges in a file system

An interactive autonomous robot is configured for deployment within a social environment. The disclosed robot includes a show subsystem configured to select between different in-character behaviors depending on robot status, thereby allowing the robot to appear in-character despite technical failures. The disclosed robot further includes a safety subsystem configured to intervene with in-character behavior when necessary to enforce safety protocols. The disclosed robot is also configured with a social subsystem that interprets social behaviors of humans and then initiates specific behavior sequences in response.

Interactive autonomous robot configured with in-character safety response protocols

Interactive autonomous robot configured for deployment within a social environment

Interactive autonomous robot configured for programmatic interpretation of social cues

A system for improving navigation of robots in a space with a plurality of pedestrians or other movable objects or obstacles. The system includes a traffic analysis assembly that has a traffic sensor(s) sensing movement of the obstacles in the space. The traffic analysis assembly further includes a processor running a flow module that processes (such as the Gunnar-Farneback optical flow algorithm) output from the traffic sensor to generate traffic analysis results, which include density values for the obstacles in the space and motion information for the obstacles in the space (e.g., speed and direction). The system includes a robot with a controller running a navigation module selecting a navigation route between a current location of the robot and a target location in the space using the traffic analysis result. The workspace is configured such that the obstacles such as pedestrians have unregulated flow patterns in the space.

System for communicating and using traffic analysis in a space with moving obstacles

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

Robot navigation in context of obstacle traffic including movement of groups

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Burbank, CA, United States of America

Jeremy Andrew Mika