L-3 Communications Corporation

L3 Technologies, Inc.

Lockheed Martin Corporation

Cae Usa, Inc.

Eytan Pollak

Mark Falash

Michael Barnoske

Yushan Chen

George Rovny

Jon Williams

Robert Ducharme

Coy Stewart

Merrill Lay

Zhihua Qu

Jack Charles Wells, Ii

Robert J Ducharme

Coy Clifton Stewart

A system and method for training a student employ a simulation station that displays output to the student and receives input. The computer system has a rules engine operating on it and computer accessible data storage storing (i) learning object data including learning objects configured to provide interaction with the student at the simulation system and (ii) rule data defining a plurality of rules accessed by the rules engine. The rules data includes, for each rule, respective (a) if-portion data defining a condition of data and (b) then-portion data defining an action to be performed at the simulation station. The rules engine causes the computer system to perform the action when the condition of data is present in the data storage. For at least some of the rules, the action comprises output of one of the learning objects so as to interact with the student. The system may be networked with middleware and adapters that map data received over the network to rules engine memory.

Adaptive training system, method and apparatus

A system and method for training a student employ a simulation station that displays output to the student and receives input. The computer system has a rules engine operating on it and computer accessible data storage storing (i) learning object data including learning objects configured to provide interaction with the student at the simulation system and (ii) rule data defining a plurality of rules accessed by the rules engine. The rules data includes, for each rule, respective (a) if-portion data defining a condition of data and (b) then-portion data defining an action to be performed at the simulation station. The rules engine causes the computer system to perform the action when the condition of data is present in the data storage. For at least some of the rules, the action comprises output of one of the learning objects so as to interact with the student.

Adaptive training system, method, and apparatus

A distributed, networked simulation system has two or more vehicle simulators that resists latency errors when the vehicles are close to each other, and is especially useful for close maneuvering training such as tanker and receiver aircraft refueling exercises or combat exercises where one aircraft closely follows another. One simulator sends the other simulator data defining the relative linear displacements and rotations between their two vehicles. The receiving simulator uses the data to maintain the relative position of the other vehicle in its local scene data based on the defined relative displacement and rotation between the vehicles. An additional simulator may simulate the boom control on the tanker using similar relative position data. The system starts relative displacement data operation when one vehicle approaches another in the virtual world, and returns to normal operation when the vehicles separate.

Geographically distributed simulation system, components and methods

A network connects stations in a distributed physics based simulation system. When the simulation detects that a weapon, especially a missile or directed energy beam, is engaging a target vehicle, one physics station determines damage status of the target vehicle. The detonation or strike of the weapon is applied to a model of the vehicle composed of pieces each made up of a number of parts. Where the damage to a piece of the vehicle exceeds a predetermined threshold, the piece is removed from the vehicle, and where a predetermined maximum damage is reached for the vehicle, the vehicle is considered destroyed. The damage assessment from the weapon is made using raytracing in a physics engine that is also used to control movement of virtual objects in the simulation according to rules of physics of the physics engine.

Physics-based simulation of warhead and directed energy weapons

A distributed simulation system is composed of simulator stations linked over a network that each renders real-time video imagery for its user from scene data stored in its data storage. The simulation stations are each connected with a physics farm that manages the virtual objects in the shared virtual environment based on their physical attribute data using physics engines, including an engine at each simulation station. The physics engines of the physics farm are assigned virtual objects so as to reduce the effects of latency, to ensure fair fight requirements of the system, and, where the simulation is of a vehicle, to accurately model the ownship of the user at the station. A synchronizer system is also provided that allows for action of simulated entities relying on localized closed loop controls to cause the entities to meet specific goal points at specified system time points.

Distributed physics based training system and methods

Interactive simulation of a virtual environment

A modular, reconfigurable and easily deployable simulator system includes a plurality of vehicle personality kits and at least one frame to support a single crewstation. Members of a selected kit are coupled to the frame. A multi-platform control system provides on-the-window and in vehicle instrument displays in real-time in response to the crewperson manipulating platform controls. An editor with a graphical user interface provides a capability to modify program segments of the control system thereby altering the behavior of the simulated platform.

Reconfigurable easily deployable simulator

Growing community of inventors

Oviedo, FL, United States of America

Eytan Pollak