Samsung Electronics Co., Ltd.

Brian Thomas Harms

Philipp Schoessler

Kathleen Sofia Hajash

Dane Mason

Sergio Perdices-Gonzalez

Pranav K Mistry

Sajid Hassan Sadi

Curtis D Aumiller

Link Chun Huang

Thomas Brenner

Jiawei Zhang

Cathy Kim

Jun Yeon Cho

Ruokan He

Michael Noh

Yedan Qian

Olivier Bau

Marc Estruch Tena

Anthony S Liot

Tara Sriram

Megan Rowe

Jose Marcel Santos

Tiberiu A Andronescu

Jason Yeh

Pol Pla

Thibault Neveu

Simon J Gibbs

Abhijit Z Bendale

Nigel A Clarke

Ranhee Chung

Jihee Kim

Ayesha Mudassir Khwaja

Bola Esther Yoo

Anil Unnikrishnan

Rahul Budhiraja

Brian Dongwoo Lee

Catherine S Kim

Imran Mohammed

Cheoljun Lee

Ivan France

Robert Wang

Sangwoo Han

Yufeng Wu

Praveen Jayakumar

Junyeon Cho

Jack Thrun

Forrest G Tran

Ik Seon Kang

Younseong Kim

Akash Mittal

Eunseo Cho

Soichan Nget

Yingying Ren

In one embodiment, an apparatus includes determining a context associated with a current use of a display screen and determining, based on the determined context associated with the current use of the display screen, a subsequent pose of the display screen. The method further includes determining, by one or more actuators configured to control an arm coupled to the display screen, a current pose of the display screen to the determined subsequent pose.

Automatically adjusting display-screen pose

In one embodiment, a method for monitoring a kitchen environment by a smart hood includes accessing sensor data indicating parameters of a cooking utensil detected by the smart hood apparatus from sensors of the smart hood apparatus, wherein the sensors comprise one or more of a camera, a thermal sensor, an audio sensor, or an air particle sensor, determining occupancy information associated with the cooking utensil based on the sensor data by algorithms, wherein the occupancy information indicates whether the cooking utensil is placed within an allowable deviation from a target location on a cooktop, determining a thermal state of an accessory associated with the cooking utensil based on the sensor data by the algorithms, and sending instructions for presenting the occupancy information associated with the cooking utensil and the thermal state of the accessory.

Systems and methods for real-time occupancy detection and temperature monitoring of cooking utensils for food processing assistance

In one embodiment, a method for monitoring for boiling fluid in a kitchen environment by a smart hood apparatus includes accessing sensor data indicating one or more parameters of a cooking utensil detected by the smart hood apparatus from sensors associated with the smart hood apparatus, wherein the sensors comprise one or more of a camera, a thermal sensor, or an audio sensor, and wherein the cooking utensil contains fluid, determining information associated with boiling events associated with the fluid in the cooking utensil based on the sensor data by algorithms, wherein the information comprises at least a boiling time required for the fluid to boil, and sending instructions for presenting a notification comprising the information associated with the boiling events.

Systems and methods for real-time monitoring of boiling fluid for food processing assistance

In one embodiment, a method includes generating a trajectory plan to complete a task to be executed by a robotic system, identifying objects in the environment required for completing the task, determining attributes for each of the identified objects, determining trajectory-parameters for the trajectory plan based on the determined attributes for each identified object and operational conditions in an environment associated with the robotic system, and executing the task based on the determined trajectory-parameters for the trajectory plan.

Parameterized waypoint generation on dynamically parented non-static objects for robotic autonomous tasks

In one embodiment, a method includes, by an electronic device, accessing activity data containing one or more non-image-based sensor signals from a first wearable device, where the activity data corresponds to an activity a user performs during a first timeframe, accessing from a first camera device, one or more cameras of the first camera device, where the video data corresponds to the first activity of the first user during the first timeframe, segmenting the activity data based on one or more features of the one or more non-image-based sensor signals to identify one or more segments of activity data corresponding to a second timeframe, classifying the one or more segments of the video data based on the one or more identified events associated with the first activity during the second timeframe, classifying the segments of the video data based on the one or more events during the second timeframe.

Systems and methods for video event segmentation derived from simultaneously recorded sensor data

An example method includes determining objects and actions associated with the objects for completing a task to be executed by a robotic system, where each action is associated with trajectory. The method further includes determining a pose for each person in an environment associated with the robotic system, predicting a trajectory for each person based on the determined pose associated with the respective person and the actions and trajectories associated with the actions, and adjusting trajectories for one or more of the actions to be performed by the robotic system based on the predicted trajectories for each person.

Anticipating user and object poses through task-based extrapolation for robot-human collision avoidance

An apparatus for a robotic limb includes one or more limb segments connected via one or more joints. The robotic limb may feature one or more dual-reduction quasi-quasi-direct-drive joint actuators that permit the robotic limb to move throughout a scene. The robotic limb may further include an end-effector connected to a free end of the robotic limb with one or more opposable fingers comprising a four bar linkage. The end-effector may include a main actuator that actuates the one or more fingers via the four-bar linkages to complete various tasks.

Robotic limb

In one embodiment, a method includes accessing a trajectory plan for a task to be executed by a robotic system, determining actions to constrain the trajectory plan based on information associated with an environment associated with the robotic system, wherein pose-based waypoints and joint positions of the robotic system would be constrained by the actions, determining joint-based waypoints for the trajectory plan based on the pose-based waypoints, and executing the task based on the joint-based waypoints for the trajectory plan.

Hybrid robotic motion planning system using machine learning and parametric trajectories

An apparatus and method for a wall clock AI voice assistant, such as a computing device, is provided herein. The wall-mountable electronic clock includes an optical sensor, a microphone, a digital display and a speaker. The optical sensor captures image data representing at least a portion of a user. The microphone receives an audio input from the user when certain criteria is met, such as when the image data representing at least a portion of the user is captured. The digital display provides visual information to the user provided in response to the captured image data or the audio input. The speaker provides audio information provides from a digital voice assistant in response to the captured image data or the audio input.

Wall clock AI voice assistant

A method includes accessing RGB and depth image data representing a scene that includes at least a portion of a robotic limb. Using this data, a computing system may segment the image data to isolate and identify at least a portion of the robotic limb within the scene. The computing system can determine a current pose of the robotic limb within the scene based on the image data, joint data, or a 3D virtual model of the robotic limb. The computing system may then determine a desired goal pose, which may be based on the image data or the 3D virtual model. Based on the determined goal pose, the computing device determines the difference between the current pose and the goal pose of the robotic limb, and using this difference, provides a pose adjustment that for the robotic limb.

Robotic vision

In one embodiment, a method includes presenting to a user, on a display of a head-worn client computing device, a three-dimensional video including images of a real-life scene that is remote from the user's physical environment. The method also includes presenting to the user, on the display of the head-worn client computing device, a graphical object including an image of the user's physical environment or a virtual graphical object.

Presentation of three-dimensional video

A system and method for a hybrid multimode input device includes a multimode input device capable of a two-dimensional (2D) mode of operation and a three-dimensional (3D) mode of operation. The device includes a two-dimensional (2D) position sensor, a three-dimensional (3D) position sensor, and a processor. The processor is configured to enter a 3D input mode when the processor detects that the input device is in a first orientation, and enter a 2D input mode when the processor detects that the input device is in a second orientation. The 2D input mode is configured to provide 2D position data to a connected computer system, and wherein the 3D input mode is configured to provide 3D position data to the connected computer system.

System and method for multipurpose input device for two-dimensional and three-dimensional environments

The present disclosure includes methods and devices for generation and control of virtual displays in a virtual environment. A method includes receiving a trigger input from a user of a computing device, the computing device including a physical display that displays first content, initiating at least one virtual display based on the trigger input from the user, providing the at least one virtual display in association with the physical display, and displaying second content via the at least one virtual display in association with the first content displayed via the physical display.

Systems and methods for virtual displays in virtual, mixed, and augmented reality

In one embodiment, a computing system may access one or more frames of media content with each frame corresponding to at least part of an image. The computing system may automatically detect at least one object in at least one of the one or more frames. The computing system may automatically identify the at least one object. For each of the identified objects, the computing system may automatically determine an annotation corresponding to that object and each annotation may include one or more graphical elements. For each annotation, the computing system may automatically associate that annotation for display with its corresponding object.

Augmented reality

Growing community of inventors

San Jose, CA, United States of America

Brian Thomas Harms