ROBOT PLANNING FROM PROCESS DEFINITION GRAPH

    公开(公告)号:US20210060773A1

    公开(公告)日:2021-03-04

    申请号:US17005031

    申请日:2020-08-27

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing robot planning using a process definition graph. One of the methods includes receiving a schedule generated for actions represented in a process definition graph for one or more robots, wherein the process definition graph is a directed acyclic graph having constraint nodes and action nodes. User input selecting a particular modification to be applied to the process definition graph is received, and the user-selected modification is applied to generate a modified process definition graph.

    Planning and Adapting Projects Based on a Buildability Analysis

    公开(公告)号:US20180348742A1

    公开(公告)日:2018-12-06

    申请号:US15611777

    申请日:2017-06-01

    Abstract: 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.

    AUTOMATIC SIMULATION GENERATION
    13.
    发明申请

    公开(公告)号:US20230117297A1

    公开(公告)日:2023-04-20

    申请号:US18047510

    申请日:2022-10-18

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatic generation of a supply chain simulation. The methods, systems, and apparatus include actions of obtaining supply chain data of a supply chain, generating a supply chain network graph that represents relationships between locations indicated by the supply chain data, determining classifications of the locations indicated by the supply chain data, determining agent rule models based on the supply chain data, and generating a supply chain simulation based on the supply chain network graph, the classifications of the locations, and the agent rule models.

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