An omnidirectional treadmill environment simulator is disclosed. The omnidirectional treadmill environment simulator includes a circular simulator stage area, a plurality of transport mechanisms that maintain an object at or near the center of a circular simulator stage area and at least one processor. The processor is configured to collect position data of the object and process the position data to control the transport mechanisms. Also included is a receiver for receiving data from a remote location and a terrain analysis computer for processing the data received from the remote location. The terrain analysis computer collects the data received from the remote location to form an accurate simulation of an upcoming condition at the remote location. The omnidirectional treadmill environment simulator includes a transmitter for transmitting the position data to a remote location.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

The invention relates to a method for controlling a robot system as well as a robot system. The robot system includes the following components: a robot ROBO with elements driven by actuators; first sensors S1i for sensing a current robot state; a central control unit ZSE, which executes a current control program SP(t) for controlling the robot system; one or more user interfaces NS.sub.p; one or more processor units PE.sub.r (205), which execute services MPSr for the central control unit ZSE and/or for one or more of the other components of the robot system; wherein the robot ROBO, the first sensors S1.sub.i, the central control unit ZSE, the user interfaces NS.sub.p, and the processor units PE.sub.r communicate with one another over a data network DN. The central control unit ZSE is configured and executed to predictively test whether an execution of the current control program SP(t) will lead to an error state. If such an error state is predicted during the test, execution of one or more actions takes place.

Active utilization of a robotic simulator in control of one or more real world robots. A simulated environment of the robotic simulator can be configured to reflect a real world environment in which a real robot is currently disposed, or will be disposed. The robotic simulator can then be used to determine a sequence of robotic actions for use by the real world robot(s) in performing at least part of a robotic task. The sequence of robotic actions can be applied, to a simulated robot of the robotic simulator, to generate a sequence of anticipated simulated state data instances. The real robot can be controlled to implement the sequence of robotic actions. The implementation of one or more of the robotic actions can be contingent on a real state data instance having at least a threshold degree of similarity to a corresponding one of the anticipated simulated state data instances.

Provided is a method for detecting an imminent collision between an object and a component of an autonomous system in the real environment including at least one real, decentralized autonomous component, whereby of at least a part of the autonomous system a virtual image is available, emulating at least one aspect of the autonomous system.

The operation program creation device includes, an input unit, a storage unit that stores path data indicating a path along which predetermined position of the robot should pass for an operation of the robot to the workpiece, and a control unit which creates the operation program corresponding to the path data when the control unit receives, from the input unit, a start request for creating or renewing the operation program for the operation, wherein the control unit is capable of changing a position of at least one of the robot and the workpiece relative to each other based on an input to the input unit, the control unit provides predetermined notification information when a relative position between the robot and the workpiece when the start request is received is different from the relative position at the time when the operation program for the workpiece was created.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

A robot control method includes defining a robot monitor model that covers at least a part of the robot and defining a monitor region parallel to a coordinate system for the robot. The monitor region is configured to monitor a range of motion of the robot. The method further includes transforming a position of a definition point that is an arbitrary point contained in the robot monitor model into a position of the definition point in a coordinate system different from the coordinate system for the robot (ST9), determining whether or not the robot monitor model is put into contact with a boundary surface of the monitor region by using the transformed position of the definition point (ST6), and stopping motion of the robot if the robot monitor model is put into contact with the boundary surface (ST8).