APPLICATIONS

For projects ranging from the ocean floor to the surface of Mars, developers use Vortex to drive their robotics simulations. Vortex powers hundreds of applications that provide engineers, scientists and operators with valuable data and behavioural feedback for virtual prototyping, testing, and mission rehearsals.

Vortex has simulated virtual test, mission rehearsal and operator training for robots in virtual environments on other planets to kilometers below the ocean surface.

Vortex at the Forefront of Robotics Simulations and Testing

Vortex provides the ideal simulation toolkit for robotics projects. Featuring high-fidelity physics, advanced manipulator and grasping capabilities, accurate vehicle dynamics, multi-application sensors and much more, it gives robotics developers everything they need to create ultra-realistic simulations. A typical Vortex application includes the virtual testing of robots operating within simulated environments, while providing actual control systems with valuable input from virtual sensors for improving robot design and control system deployments.

Vortex is ideally suited to robotics applications since it combines the ability to simulate vehicles, mechanical assemblies, sensors, manipulators, tethers and interactive environmental effects.

The Ideal Solution for Training and Engineering Applications

Extensively used in training simulations, Vortex provides operators with a wide range of robotics applications. Its physics-based realism – with accurate robot and manipulator movements, object collision/response, and precise grasping of virtual artifacts – ensures high-fidelity simulations to improve outcomes and reduce training time. Vortex’s robust simulation framework allows the integration of robotic control systems such as joysticks, master arms, haptic devices, sensor displays and other controls.

Vortex Robotics Dominate the Visual Simulation World

Here are just some of the robotics applications powered by Vortex:

• Design testing: Engineering simulators for robot and equipment design; semi-autonomous and autonomous robots; autonomous motion and path planning (obstacle avoidance); controller design with software-in-the-loop (SIL), MATLAB, and hardware-in-the-loop (HIL)
• Operator training: For robots and robotic vehicles, both autonomous and tethered; turnkey simulators within control systems; tracked and wheeled vehicle dynamics; manipulator simulation and interaction within simulated operating environments
• Military: Bomb/IED search-and-destroy robots with highly realistic robot-environment interactions; complete simulation of robotic drive systems, sensors and manipulators; cable systems’ simulation of control tethers
• Subsea: ROVs for subsea applications with flight propulsion systems; hydrodynamic simulations; tether-management systems; sonar, cameras and other sensors.
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• Space: Planetary robotics testing and mission planning with complete tracked and wheeled vehicle dynamics; track/wheel-soil interaction; manipulators and interaction with operating environment
• Manipulators: Accurate arm movements/dynamics and object collision/response; grasping of virtual artifacts with grippers; integration with master-arm control systems; simulation of specialized tools and interaction with mechanical systems
• Humanoid robots and robotic creatures: Simulation of mechanical systems; dynamics of walking, crawling, swimming and other methods of locomotion; grasping simulation for humanoid hands and other specialized grippers