Difference between revisions of "VRep Tutorials"

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V-Rep (virtual robot experimentation platform) is a virtual reality simulation software that allows the simulation of many robotic systems. All objects and models can be individually controlled using, for instance, embedded routines, plug-in's, ROS nodes, or remote servers connected through API's. These routines can be implemented using C/C++, Python, Java, Lua, Matlab, Octave, or Urbi.  
 
V-Rep (virtual robot experimentation platform) is a virtual reality simulation software that allows the simulation of many robotic systems. All objects and models can be individually controlled using, for instance, embedded routines, plug-in's, ROS nodes, or remote servers connected through API's. These routines can be implemented using C/C++, Python, Java, Lua, Matlab, Octave, or Urbi.  
 
== Installation ==
 
V-Rep is available for '''Windows''' (XP SP3 or superior), '''Linux''' (Ubunto or another distribution) or '''MacOS''' (10.6 or superior).
 
The minimum recommended hardware configuration is listed as follows:
 
<br>
 
-RAM: 512 MB;<br>
 
-Hard disk: greater than 50 MB;<br>
 
-Monitor resolution: 1024x768;<br>
 
-Video card: [http://www.videocardbenchmark.net/gpu_list.php Passmark] > 200<br>
 
 
The software has a free educational version, which can be downloaded in this [http://www.coppeliarobotics.com/downloads.html link].
 
  
 
== Tutorials ==
 
== Tutorials ==
 +
[[VRep Installation]]
 
[[VRep: External Control using Matlab through the remote API]]
 
[[VRep: External Control using Matlab through the remote API]]

Revision as of 23:50, 6 December 2015

V-Rep (virtual robot experimentation platform) is a virtual reality simulation software that allows the simulation of many robotic systems. All objects and models can be individually controlled using, for instance, embedded routines, plug-in's, ROS nodes, or remote servers connected through API's. These routines can be implemented using C/C++, Python, Java, Lua, Matlab, Octave, or Urbi.

Tutorials

VRep Installation VRep: External Control using Matlab through the remote API