You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

134 lines
4.5 KiB

<?xml version="1.0" encoding="utf-8"?>
<demos>
<name>Robotics Toolbox</name>
<type>toolbox</type>
<icon>$toolbox/matlab/icons/matlabicon.gif</icon>
<description>Robotics Toolbox demonstrations of transform and quaternion primitives,
Jacobians, animations, path planning, forward and inverse kinematics, and forward and inverse dynamics.
</description>
<website>
<a href="http://www.petercorke.com"></a></website>
<demosection>
<label>MATLAB Examples</label>
<icon>$toolbox/matlab/icons/matlabicon.gif</icon>
<demoitem>
<label>Representing rotation</label>
<callback>rotation</callback>
<description>Ways to represent rotation in 3D</description>
</demoitem>
<demoitem>
<label>Representing pose</label>
<callback>trans</callback>
<description>Representing pose in 3D</description>
</demoitem>
<demoitem>
<label>Trajectories</label>
<callback>traj</callback>
<description>Representing sequences of poses</description>
</demoitem>
<demoitem>
<label>Creating a robot</label>
<callback>robot</callback>
<description>Links and serial-link manipulators</description>
</demoitem>
<demoitem>
<label>Forward kinematics</label>
<callback>fkine</callback>
<description>Manipulator forward kinematics: angles to pose</description>
</demoitem>
<demoitem>
<label>Inverse kinematics</label>
<callback>ikine</callback>
<description>Manipulator inverse kinematics: pose to angles</description>
</demoitem>
<demoitem>
<label>Robot graphics and animation</label>
<callback>graphics</callback>
<description>Advanced use of plot and animation</description>
</demoitem>
<demoitem>
<label>Jacobians</label>
<callback>jacob</callback>
<description>Infinitissimal motion and manipulator Jacobians</description>
</demoitem>
<demoitem>
<label>Inverse dynamics</label>
<callback>idyn</callback>
<description>Inverse manipulator dynamics: joint rates to torque</description>
</demoitem>
<demoitem>
<label>Forward dynamics</label>
<callback>fdyn</callback>
<description>Forward manipulator dynamics: torque to joint rates</description>
</demoitem>
<demoitem>
<label>Symbolics</label>
<callback>symbolic</callback>
<description>Using symbolic variables with the Toolbox</description>
</demoitem>
<demoitem>
<label>Code generation</label>
<callback>codegen</callback>
<description>Generate efficient run-time kinematic and dynamic code</description>
</demoitem>
</demosection>
<demosection>
<icon>$toolbox/matlab/icons/simulinkicon.gif</icon>
<label>Simulink Examples</label>
<demoitem>
<label>Puma robot falling under gravity</label>
<callback>ztorque</callback>
<dependency>Simulink</dependency>
</demoitem>
<demoitem>
<label>Braitenberg vehicle</label>
<callback>braitnav</callback>
<description>Demonstrate a Braitenberg vehicle</description>
</demoitem>
<demoitem>
<label>Driving to a pose</label>
<callback>drivepose</callback>
<description>Control a car-like mobile robot to move toward a desired pose</description>
</demoitem>
<demoitem>
<label>Quadrotor flying</label>
<callback>quadrotor</callback>
<description>Control a quadrotor flying vehicle to take off and fly in a circle</description>
</demoitem>
</demosection>
<demosection>
<icon>$toolbox/matlab/icons/matlabicon.gif</icon>
<label>Mobile robot Examples</label>
<demoitem>
<label>Bug navigation</label>
<callback>bugnav</callback>
<description>Demonstrate the Bug2 goal finding algorithm</description>
</demoitem>
<demoitem>
<label></label>
<callback>dstarnav</callback>
<description>Demonstrate D* path planning</description>
</demoitem>
<demoitem>
<label>PRM navigation</label>
<callback>prmnav</callback>
<description>Demonstrate probabistic roadmap path planning</description>
</demoitem>
<demoitem>
<label>SLAM</label>
<callback>slam</callback>
<description>Demonstrate the simultaneous estimation of robot pose and landmark positions using an extended Kalman filter (EKF)</description>
</demoitem>
<demoitem>
<label>Particle filter localization</label>
<callback>particlefilt</callback>
<description>Demonstrate the estimation of robot pose using a Monte-Carlo style particle filter</description>
</demoitem>
</demosection>
</demos>