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Object oriented library in C++ for robotics simulation
This library (ROBOOP) is a C++ robotics object oriented programming toolbox suitable for synthesis, and simulation of robotic manipulator models in an environment that provides ``MATLAB like'' features for the treatment of matrices. Its is a portable tool that does not require the use of commercial software. A class named Robot provides the implementation of the kinematics, the dynamics and the linearized dynamics of serial robotic manipulators.
This toolbox brings robotics-specific functionality to MATLAB, exploiting the native capabilities of MATLAB (linear algebra, portability, graphics). The Toolbox uses a very general method of representing the kinematics and dynamics of serial-link manipulators as MATLAB® objects – robot objects can be created by the user for any serial-link manipulator and a number of examples are provided for well-known robots from Kinova, Universal Robotics, Rethink as well as classical robots such as the Puma 560 and the Stanford arm. ...
Matlab interface to the Open Dynamics Engine (ODE)
MatODE is a simple Matlabtoolbox for interfacing to the Open Dynamics Engine rigid body physics simulator (ODE, by Russell Smith), created by the Delft Biorobotics Lab (Delft University of Technology, Delft, The Netherlands).
The system to be simulated is defined in an XML file, while the joint positions and motor signals can be sensed and actuated from a Matlab script.
A MATLABtoolbox for simulating the movement of the iRobot Create. Contains multiple GUIs for creating maps and other input, showing the movement of the Create, and replaying a previously saved session.
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RTSS is intended for modeling and simulation of robotic manipulators in the Scilab/Scicos environment. Inspired by the Robotics Toolbox for MATLAB by Peter Corke, RTSS provides many functions that are useful in the field of robotics.
The KUKA Control Toolbox (KCT) is a collection of MATLAB functions developed at the University of Siena, for motion control of KUKA robot manipulators.
The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.