The vr_octavia example shows the benefits of visualization of complex dynamic model in the virtual reality environment. It also shows Simulink® 3D Animation™ 3D off-line animation
Extends the vr_octavia example to show multiple-object scenario visualizations.
The vrcrane_joystick example illustrates how a Simulink® model can interact with a virtual world. The portal crane dynamics is modeled in Simulink and visualized in virtual reality. The
The vrplanets example shows the dynamic visualization of the first 4 planets of the Solar system, Moon orbiting around Earth and Sun rotating itself. The model uses the real properties of the
Extends the vr_octavia example and shows how to combine virtual reality canvas in one figure with other graphical user interface objects. In this case, three graphs are displayed under the
The vrbounce example visualizes a ball bouncing from a floor. The ball deforms as it hits the floor keeping the volume of the ball constant. The deformation is achieved by modifying the scale
The vrpend example illustrates the various ways a dynamic model in Simulink® can interact with a virtual reality world. It is the model of 2-dimensional inverted pendulum controlled by a PID
Illustrates the use of global coordinates in Simulink® 3D Animation™ models. Global coordinates can be used in the model in many ways for object tracking and manipulation, simple collision
This model illustrates the use of Simulink® 3D Animation™ for virtual reality prototyping and testing the viability of designs before the implementation phase. Also, this example
This model represents a tutorial example described in the documentation. See the 'Displaying a Virtual World' chapter in the Simulink 3D Animation User's Guide.
Vrmaglev is an example showing the interaction between dynamic models in Simulink® and virtual worlds. The Simulink® model represents the HUMUSOFT® CE152 Magnetic Levitation
This model extends the vr_octavia example and shows how to use video output from the VR Video Output block.
This model is a variant of the vrtkoff example that shows also how to display signal values as text in the virtual scene and a simple Head-Up Display (HUD).
Vrdemo_panel example shows the use of sensing objects that are available in the 3D World Editor Components library. These objects combine VRML sensors whose values can be read into
This model represents a tutorial example described in the documentation. See the 'Associate Virtual Worlds with Simulink' chapter in the Simulink 3D Animation User's Guide.
The vrcrane_traj example is based on the vrcrane_joystick example, instead of interactive operator control it has a predefined load trajectory.
The vrtkoff example represents a simplified aircraft taking-off from a runway. There are several viewpoints defined in this model, both static and attached to the plane, allowing you to see
Tutorial model to be used for 3D World Editor authoring example in the documentation. After creating the virtual world according to the instructions in the documentation, include the VR
How the VR Sink block accepts matrix signals and variable-size signals. We modify the vertex coordinates of a block resulting in the change of the object's shape.
Extends the vr_octavia example to show the capability of the VR Sink block to process video stream on input.
Vrlights is an example with light sources. In the scene there are Sun (modeled as DirectionalLight) and Lamp (modeled as PointLight) moved around from the Simulink® model, creating the
The vrmemb1 example is similar to the vrmemb example, but this time the associated virtual world is driven from a Simulink® model.
In addition to the vrmaglev example, the vrmaglev_sldrt model works directly with the actual CE 152 lab experiment hardware in real time. We created this model to work with Simulink® Coder™,
The vrcollisions_lidar example shows how a LinePickSensor can be used to model LIDAR sensor behavior in Simulink® 3D Animation™.
The vrmaze example shows how the collision detection in Simulink® 3D Animation™ can be used to simulate a differential wheeled robot solving the maze challenge. The robot control algorithm