Microsoft Technology Licensing, LLC

Malek M Chalabi

Gadi Amit

Chadwick John Harber

Quinn Fitzgerald

Matt Pugmire

Russell Irvin Sanchez

Jean Sebastien Fouillade

Yoshikazu Hoshino

Dustin R Brown

Matthew Griffin Pugmire

Eliana Feigelstock

Efstathios Papaefstathiou

Charles F Olivier, Iii

Graham Arthur Wheeler

Nathaniel Terrell Clinton

Ashley Nathan Feniello

Adrien Felon

Francois Burianek

Jordan Correa

Kordell B Krauskopf

Russel Sanchez

Portable speaker

Initial interaction between a mobile robot and at least one user is described herein. The mobile robot captures several images of its surroundings, and identifies existence of a user in at least one of the several images. The robot then orients itself to face the user, and outputs an instruction to the user with regard to the orientation of the user with respect to the mobile robot. The mobile robot captures images of the face of the user responsive to detecting that the user has followed the instruction. Information captured by the robot is uploaded to a cloud-storage system, where information is included in a profile of the user and is shareable with others.

Interactive robot initialization

Video teleconferencing device

A robot is provided that includes a processor executing instructions that generate an image. The robot also includes a depth sensor that captures depth data about an environment of the robot. Additionally, the robot includes a software component executed by the processor configured to generate a depth map of the environment based on the depth data. The software component is also configured to generate the image based on the depth map and red-green-blue (RGB) data about the environment.

Computer vision system and method using a depth sensor

The subject disclosure is directed towards a robot device including a model that controls a robot's task-related operations to perform tasks and user-engagement operations to interact with the robot. The model controls the operating states, including transitioning from an autonomous task state to an engaged state based on current context determined from various stimuli, e.g., information received via sensors of the robot and/or learned data. The robot may seek to engage the user, the user may seek to engage the robot, or the user and robot may meet by chance in which either may attempt to initiate the engagement.

Multi-state model for robot and user interaction

A method is provided for initiating a telepresence session with a person, using a robot. The method includes receiving a request to host a telepresence session at the robot and receiving an identification for a target person for the telepresence session by the robot. The robot then searches a current location for a person. If a person is found, a determination is made regarding whether the person is the target person. If the person found is not the target person, the person is prompted for a location for the target person. The robot moves to the location given by the person in response to the prompt.

Finding a called party

Growing community of inventors

Redmond, WA, United States of America

Malek M Chalabi