Invention Grant
- Patent Title: System and method for context-driven predictive simulation selection and use
-
Application No.: US15870560Application Date: 2018-01-12
-
Publication No.: US10795327B2Publication Date: 2020-10-06
- Inventor: Steven Robert Gray , John Robert Hoare , Justin Michael Foehner , Huan Tan , Shiraj Sen , Romano Patrick
- Applicant: General Electric Company
- Applicant Address: US NY Niskayuna
- Assignee: GENERAL ELECTRIC COMPANY
- Current Assignee: GENERAL ELECTRIC COMPANY
- Current Assignee Address: US NY Niskayuna
- Agency: Fletcher Yoder, P.C.
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G05B13/04 ; H04W4/38 ; B25J9/16 ; H04W4/02 ; G05B13/02

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.
Public/Granted literature
- US20190219972A1 SYSTEM AND METHOD FOR CONTEXT-DRIVEN PREDICTIVE SIMULATION SELECTION AND USE Public/Granted day:2019-07-18
Information query