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公开(公告)号：US20190219972A1
公开(公告)日：2019-07-18
申请号：US15870560
申请日：2018-01-12
Applicant: General Electric Company
Inventor： Steven Robert Gray , John Robert Hoare , Justin Michael Foehner , Huan Tan , Shiraj Sen , Romano Patrick
Abstract: The present approach employs a context-aware simulation platform to facilitate control of a robot remote from an operator. Such a platform may use the prior domain/task knowledge along with the sensory feedback from the remote robot to infer context and may use inferred context to dynamically change one or both of simulation parameters and a robot-environment-task state being simulated. In some implementations, the simulator instances make forward predictions of their state based on task and robot constraints. In accordance with this approach, an operator may therefore issue a general command or instruction to a robot and based on this generalized guidance, the actions taken by the robot may be simulated, and the corresponding results visually presented to the operator prior to evaluate prior to the action being taken.
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公开(公告)号：US10795327B2
公开(公告)日：2020-10-06
申请号：US15870560
申请日：2018-01-12
Applicant: General Electric Company
Inventor： Steven Robert Gray , John Robert Hoare , Justin Michael Foehner , Huan Tan , Shiraj Sen , Romano Patrick
Abstract: The present approach employs a context-aware simulation platform to facilitate control of a robot remote from an operator. Such a platform may use the prior domain/task knowledge along with the sensory feedback from the remote robot to infer context and may use inferred context to dynamically change one or both of simulation parameters and a robot-environment-task state being simulated. In some implementations, the simulator instances make forward predictions of their state based on task and robot constraints. In accordance with this approach, an operator may therefore issue a general command or instruction to a robot and based on this generalized guidance, the actions taken by the robot may be simulated, and the corresponding results visually presented to the operator prior to evaluate prior to the action being taken.
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公开(公告)号：US10913154B2
公开(公告)日：2021-02-09
申请号：US15860377
申请日：2018-01-02
Applicant: General Electric Company
Inventor： Huan Tan , John Robert Hoare , Justin Michael Foehner , Steven Robert Gray , Shiraj Sen , Romano Patrick
Abstract: A system for performing industrial tasks includes a robot and a computing device. The robot includes one or more sensors that collect data corresponding to the robot and an environment surrounding the robot. The computing device includes a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to receive the collected data from the robot, generate a virtual recreation of the robot and the environment surrounding the robot, receive inputs from a human operator controlling the robot to demonstrate an industrial task. The system is configured to learn how to perform the industrial task based on the human operator's demonstration of the task, and perform, via the robot, the industrial task autonomously or semi-autonomously.
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4.发明申请公开(公告)号：US20190202053A1
公开(公告)日：2019-07-04
申请号：US15860377
申请日：2018-01-02
Applicant: General Electric Company
Inventor： Huan Tan , John Robert Hoare , Justin Michael Foehner , Steven Robert Gray , Shiraj Sen , Romano Patrick
IPC: B25J9/16
CPC classification number: B25J9/1664 , B25J9/161 , B25J9/1671 , G05B2219/40099 , G05B2219/40131 , G05B2219/40323 , G05B2219/40515 , G05D1/0044 , Y10S901/03
Abstract: A system for performing industrial tasks includes a robot and a computing device. The robot includes one or more sensors that collect data corresponding to the robot and an environment surrounding the robot. The computing device includes a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to receive the collected data from the robot, generate a virtual recreation of the robot and the environment surrounding the robot, receive inputs from a human operator controlling the robot to demonstrate an industrial task. The system is configured to learn how to perform the industrial task based on the human operator's demonstration of the task, and perform, via the robot, the industrial task autonomously or semi-autonomously.
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