X Development LLC

Beatbots, LLC

Intrinsic Innovation LLC

Bot & Dolly, LLC

Marek Piotr Michalowski

Jeff Linnell

Eli Reekmans

Kendra Byrne

Anthony Sean Jules

Michael Beardsworth

Brandon Kruysman

Gregory R Katz

Jonathan Proto

Thiago G Hersan

Jeffrey Linnell

Matthew A Bitterman

Jean-Francois Dupuis

Ryan Butterfoss

Stoyan Gaydarov

Ytai Ben-Tsvi

Thiago Hersan

Justine Kasznica

Alea C Teeters

This specification describes systems, methods, devices, and other techniques for planning workspaces for automated fabrication processes. A computing system facilitates planning by receiving a set of parameters for planning a layout of a workspace for an automated fabrication process, and generating a plurality of candidate workspace layouts, including selecting, for each candidate workspace layout, (i) one or more robots for performing tasks in the automated fabrication process and (ii) corresponding locations for the one or more robots within the workspace. The system determines an optimal workspace layout based on the plurality of candidate workspace layouts, generates a workspace layout specification for the optimal workspace layout, and provides the workspace layout specification to one or more second computing systems.

Robotic workspace layout planning

Disclosed herein is a worksite automation process that involves: generating a first sequence of tasks to build the product according to a model. The process further involves causing one or more robotic devices to build the product by beginning to execute the first sequence of tasks. Further, during the execution of the first sequence of tasks, performing a buildability analysis to determine a feasibility of completing the product by executing the first sequence of tasks. Based on the analysis, determining that it is not feasible to complete the product by executing the first sequence of tasks, and in response, generating a second sequence of tasks to complete the product according to the model. Then, causing the one or more robotic devices to continue building the product by beginning to execute the second sequence of tasks.

Planning and adapting projects based on a buildability analysis

In one aspect, a method is described. The method may include providing an end effector tool of a robotic device configured to perform a task on a work surface within a worksite coordinate frame. The method may further include providing first location data indicating a first location of the end effector tool with respect to the work surface, providing second location data indicating a second location of the end effector tool within the worksite coordinate frame, and providing third location data indicating a third location of the end effector tool within the worksite coordinate frame. The method may further include tracking the location of the end effector tool based on the first, second, and third location data, and, based on the tracked location of the tool, instructing the robotic device to manipulate the end effector tool to perform a task on the work surface.

Multi-resolution localization system

Described herein are methods and systems to establish a pre-build relationship in a model that specifies a first parameter for a first feature of a structure and a second parameter for a second feature of the structure. In particular, a computing system may receive data specifying a pre-build relationship that defines a build value of the first parameter in terms of a post-build observed value of the second parameter. During production of the structure, the computing system may determine the post-build observed value of the second parameter and, based on the determined post-build observed value, may determine the build value of the first parameter in accordance with the pre-build relationship. After determining the build value, the computing system may then transmit, to a robotic system, an instruction associated with production of the first feature by the robotic system, with that instruction specifying the determined build value of the first parameter.

Methods and systems for establishing and maintaining a pre-build relationship

A robotic system includes end-effector(s) that combine a plurality of objects in a production process. The system includes sensor(s) that obtain measurement(s) relating to a combination of a first object and one or more other objects during the production process. The system includes a control system communicatively coupled to the sensor(s). The control system stores specifications relating to the combination of the plurality of objects. The control system receives the measurement(s) from the sensor(s), determines a difference based on the measurement(s) and the specifications, determines adjustment(s) to the production process based on the determined difference, and sends, for the end-effector(s), instruction(s) based on the specifications and the one or more adjustment(s). The end-effector(s) combine a second object with the first object and the one or more objects based on the specifications and the one or more adjustment(s).

Error accrual and mitigation during robotic process

Example implementations may relate to providing a dynamic jig in a three-dimensional (3D) coordinate system. Specifically, a control system may (i) receive task data specifying a manipulation of one or more parts at a specified location; (ii) determine: (a) one or more work surfaces and (b) a first position of each of the one or more work surfaces, such that the one or more work surfaces collectively provide a jig to facilitate the specified manipulation of the parts; (iii) a plurality of guide end effectors that are positionable by one or more robotic devices such that the end effectors provide the work surfaces at the respectively determined first positions; and (iv) operate the one or more robotic devices to position the guide end effectors to provide the one or more work surfaces at the respectively determined first positions, thereby forming the jig from the one or more work surfaces.

Guide placement by a robotic device

A robotic system includes one or more end-effectors that combine, according to a production process, at least one object and structure(s) at a production site. Sensor(s) generate, from the production site, sensor data relating to the production process. A control system stores specifications for the production process based on a model of the production site and/or the at least one object. The control system: receives, from the sensor(s), the sensor data; determines, from the sensor data, properties of at least one of: the production site or the at least one object; determines difference(s) between the properties and the model; determine(s) adjustment(s) to the production process based on the difference(s); and sends, for the end-effector(s), instruction(s) for combining the at least one object and the structure(s) based on the specifications and the one or more adjustments to the production process.

Customized robotic installation based on measurements collected on site

The present application discloses implementations relate to automated generation of interlocking joint features. An example method involves obtaining a virtual model of an object. The virtual model specifies dimensions of a first element, dimensions of a second element, and a spatial relation between the first element and the second element that defines a joint angle. The example method also involves obtaining a relationship that correlates element dimensions and joint angles with cut dimensions. The example method further involves determining cut dimensions for the first element the second element based on the relationship, the dimensions of the first element, the dimensions of the second element, and the joint angle. Modifying the first element and the second element according to the cut dimensions produces interlockable features on the first element and the second element. Additionally, the method involves providing an output signal indicative of the cut dimensions.

Parametric generation of interlocking joints

A robot is disclosed. The robot can comprise a body and an emotion-expressing system. The emotion-expressing system can comprise a touch sensor embedded within the body, a feedback generator, and a controller in communication with the touch sensor and the feedback generator. The controller can be configured to determine the emotional state of the robot based on feedback from the touch sensor, and the feedback generator can be configured to generate feedback indicative of the emotional state.

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San Francisco, CA, United States of America

Marek Piotr Michalowski