Invention Grant
- Patent Title: Mission modeling planning, and execution module (M2PEM) systems and methods
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Application No.: US16403838Application Date: 2019-05-06
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Publication No.: US11599109B2Publication Date: 2023-03-07
- Inventor: Chris Scrapper , Greg N Droge , Alexander L Xydes , Jean-Pierre de la Croix , Amir Rahmani , Joshua Vander Hook , Grace Lim
- Applicant: Naval Information Warfare Center Pacific , California Institute Of Technology Jet Propulsion Laboratory
- Applicant Address: US CA San Diego; US CA Pasadena
- Assignee: Naval Information Warfare Center Pacific,California Institute Of Technology Jet Propulsion Laboratory
- Current Assignee: Naval Information Warfare Center Pacific,California Institute Of Technology Jet Propulsion Laboratory
- Current Assignee Address: US CA San Diego; US CA Pasadena
- Agency: Naval Information Warfare Center, Pacific
- Agent Kyle Eppele; Matthew D. Pangallo
- Main IPC: G05D1/00
- IPC: G05D1/00 ; G06F8/40 ; G06Q10/067

Abstract:
Methods and systems for accomplishing a mission using a plurality of unmanned vehicles can include graphically describing the mission tasks at a graphical user interface (GUI) using Business Process Model Notation (BPMN), and translating the graphical description into extensible machine language (XML) formatted robot operating system (ROS) instructions, which can be understood by each of the plurality of unmanned vehicles with a translator. An execution engine transmits the XML ROS instructions to a respective local controller on the respective unmanned vehicle. The BPMN graphical descriptor symbols can allow for planning of a mission by an end user that does not have expertise in the ROS domain, and that does not have an understanding of the ROS construct. The execution engine can provide feedback back to the GUI regarding mission execution. Based on the feedback, the graphical description can be modified while the mission is being accomplished.
Public/Granted literature
- US20190339691A1 Mission Modeling Planning, and Execution Module (M2PEM) Systems and Methods Public/Granted day:2019-11-07
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