Autodesk, Inc.

Hewlett-packard Development Company, L.p.

Palm, Incorporated

Qualcomm Incorporated

Yahoo! Inc.

Portola Dimensional Systems, Inc.

Mark Thomas Davis

David Kammer

Michael Bergin

Negar Arabani

Hooman Shayani

Douglas G Look

James Matson Awe

Patricia Anne Vrobel

Carlo Bernoulli

Erin Marie Bradner

Andriy Banadyha

Eric Klein

George William Fitzmaurice

Jeffrey Charles Hawkins

Tovi Samuel Grossman

Robert Yuji Haitani

Francesco Iorio

Jose Madeira De Freitas Garcia

Chad Jennings

Stephen Barley

Edwin Booth

Jeff Kowalski

Wen Zhao

Arun Godfrey Mathias

Isabel Mahe

Evan Patrick Atherton

Nigel Morris

Timothy D Twerdahl

Karl Willis

Earl David Sacerdoti

Richard D Howard

Mehdi Nourbakhsh

Benjamin David Cochran

Jennifer Ellen Fernquist

Jeff Bonforte

James La Fleur

Malte Sebastian Tinnus

Bennett Chan

Arthur Harsuvanakit

Philip J Bernosky

Gene Roe

Heike Rapp-Wurm

Alex Yee Kit Ho

Maryam Maleki

David Foote

Leigh Rosser

Humberto C Gerola

John M McGraw

Wolfgang H Gerola

Ken Hung

David Thornton

In various embodiments, a workflow application generates and evaluates designs that reflect stylistic preferences. In operation, the workflow application determines a target style based on input received via a graphical user interface (GUI). Notably, the target style characterizes a first set of designs. The workflow application then generates stylized design(s) based on stylization algorithm(s) associated with the target style. Subsequently, the workflow application, displays a subset of the stylized design(s) via the GUI. A stylized design included in the subset of stylized design(s) is ultimately selected for production via the GUI. Advantageously, because the workflow application can substantially increase the number of designs that can be generated and evaluated based on the target style in a given amount of time, relative to more manual prior art techniques, the overall quality of the stylized design selected for production can be improved.

Techniques for generating designs that reflect stylistic preferences

In various embodiments, a gradient modeling application automatically generates designs of three-dimensional (3D) objects. The gradient modeling application generates a set of points based on a resolution and a perimeter. The gradient modeling application computes a set of displacement values based on the set of points, a first two-dimensional (2D) border, and a first displacement parameter that is associated with the first 2D border. Based on the set of displacement values, the gradient modeling application generates a 3D object design.

Computer-aided techniques for designing 3D surfaces based on gradient specifications

In various embodiments, a stylization application generates designs that reflect stylistic preferences. In operation, the stylization application computes characterization information based on a first design and a trained machine-learning model that maps one or more designs to characterization information associated with one or more styles. The stylization application then computes a style score based on the characterization information and a target style that is included in the one or more styles. Subsequently, the stylization application generates a second design based on the style score, where the second design is more representative of the target style than the first design. Advantageously, because the stylization application can substantially increase the number of designs that can be generated based on the target style in a given amount of time, relative to more manual prior art techniques, the overall quality of the design ultimately selected for production can be improved.

In various embodiments, a stylization subsystem automatically modifies a three-dimensional (3D) object design. In operation, the stylization subsystem generates a simplified quad mesh based on an input triangle mesh that represents the 3D object design, a preferred orientation associated with at least a portion of the input triangle mesh, and mesh complexity constraint(s). The stylization subsystem then converts the simplified quad mesh to a simplified T-spline. Subsequently, the stylization subsystem creases one or more of edges included in the simplified T-spline to generate a stylized T-spline. Notably, the stylized T-spline represents a stylized design that is more convergent with the preferred orientation(s) than the 3D object design. Advantageously, relative to prior art approaches, the stylization subsystem can more efficiently modify the 3D object design to improve overall aesthetics and manufacturability.

Techniques for generating stylized quad-meshes from tri-meshes

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to share information in a community of robots and users to perform tasks. In one aspect, a method includes registering a plurality of robots in a system including creating for each robot a robot profile; publishing the robot profile; collecting operational data related to performance of tasks, the operational data including situational awareness information from at least a first of the plurality of registered robots; evaluating the collected operational data including performing statistical analysis, modeling, and extrapolation using the collected operational data; and in response to a request to transfer relevant data to at least a second of the plurality of registered robots, determining relevant data from the evaluated collected operational data, the relevant data including at least a portion of the situational awareness information; and sending the relevant data to at least the second registered robot.

Robot service platform

A design application generates feasible engineering designs that satisfy criteria associated with a particular engineering problem. The design application receives input that outlines a specific engineering problem to be solved, and then synthesizes a problem specification based on this input. The design application then searches a database to identify different classes of approaches to solving the design problem set forth in the problem specification. The design application then selects one or more such classes of approaches, and generates a spectrum of potential design solutions for each such approach. The generated solutions may then be evaluated to determine the degree to which the problems specification has been met.

Technique for generating a spectrum of feasible design solutions

An iterative design environment performs an iterative design process of a product by implementing usage feedback of the product when utilized under real-world conditions. Sensors are installed on the physical product and collect data about the behavior of the product under real-world conditions. The sensor data comprise usage feedback implemented to inform and produce a design problem statement and one or more design solutions. The sensor data is received by a problem statement engine to produce a problem statement based, at least in part, on the sensor data. A design engine then produces one or more design solutions for the problem statement and one of the design solutions is fabricated to produce a new physical product. Sensors are then installed onto the new physical product and the iterative design process may be performed again. The iterative design process may be performed multiple times until a satisfactory physical product is achieved.

Usage feedback loop for iterative design synthesis

A design application is configured to determine design problem geometry and design criteria associated with a design problem to be solved. Based on this information, the design application identifies one or more design approaches to creating a custom material having specific material attributes needed to solve the design problem. The design application then executes the design approaches to create material designs that reflect one or more custom materials. With these designs as input, a manufacturing machine may then construct physical instances of those custom materials. A given custom material may have a unique combination of material attributes potentially not found among existing materials. Additionally, a design fabricated from a custom material may better satisfy the design criteria than a design fabricated from a known material.

Techniques for generating materials to satisfy design criteria

A design application interacts with an end-user to generate design problem geometry that reflects a design problem to be solved. Various design objectives, design constraints, boundary conditions, and other design criteria may be associated with the design problem geometry via the design application. When the design problem is sufficiently well defined, a client-side solver generates a solution approximation using a coarse multi-objective solver. The client-side solver favors speed over accuracy, and so the solution approximation provides only a rough representation of various attributes of potentially feasible design solutions. Based on the solution approximation, the end-user may correct any omissions, mistakes, and so forth, before executing pay-per-service cloud-based parallel solver.

Technique for generating approximate design solutions

A design application includes a design engine and a tracking engine. The design engine allows end-users to create and modify a design space. The design space includes a spectrum of possible design options, as well as other information related to the process of creating designs. When changes are applied to the design space, the design engine transmits event data to the tracking engine that reflects those changes. The tracking engine, based on the event data, updates a design space timeline. The design space timeline illustrates the evolution of the design space over time.

Tracking the evolution of a design space

A design application allows an end-user to define an engineering problem, and then synthesizes a spectrum of design options that solve the engineering problem. The design application then generates various tools to allow the end-user to explore that spectrum of design options. The design application allows the end-user to compare various attributes of each design option, and to filter the spectrum of design options based on those attributes. In response to end-user selections of certain design options, the design application identifies other similar design options, and then displays these design options to the end-user.

Approach for generating and exploring a design space

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reconfigurable spaces. One of the methods includes identifying plan information relating to a space under evaluation. Constraints related to structures associated with the plan information are identified. Input regarding uses or elements to be included in a reconfigurable design for the space is received. A library of elements for inclusion in the space is evaluated, including determining one or more reconfigurable elements that satisfy the received input. A first configuration of a reconfigurable element is determined including a first placement in a first design associated with the space, and the first design in accordance with the first configuration is presented. A second different configuration is determined, including a second placement in a second different design associated with the space, and the second different design in accordance with the second different configuration is presented.

Reconfigurable spaces

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to share information in a community of robots and users to perform tasks. In one aspect, a method includes registering, a plurality of robots in a system including creating for each robot of the plurality of robots a robot profile; publishing the robot profile; providing an application programming interface to the plurality of registered robots; providing a user interface to users; receiving a service request; determining that a user or registered robot is qualified to obtain service information in response to the service request; determining, responsive to the user or registered robot being qualified, the service information for the service request based on the published robot profiles; selecting one or more registered robots to receive the service information; and sending the service information to the one or more selected registered robots.

A method includes providing a wearable device compatible with and worn by an animal, the wearable device including a processing engine, a plurality of sensors, and a communication interface to a remotely located base station. The method includes monitoring an environment around the wearable device as the animal traverses a space and collecting information based on data generated by the plurality of sensors. The method also includes analyzing the data generated by the plurality of sensors and inferring activities associated with a human in proximity to the animal, wherein inferring activities includes determining a current location of the human based on data generated by one or more of the sensors, and determining activities of the human over a period of time based on data generated by the one or more sensors.

Empathy monitoring and detection system

Growing community of inventors

Mill Valley, CA, United States of America

Mark Thomas Davis