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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.
Matlab interface to the Open Dynamics Engine (ODE)
MatODE is a simple Matlab toolbox 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.
Simox has moved to gitlab. Please update your URLs:
https://gitlab.com/Simox/simox
A platform-independent robot simulation, motion and grasp planning toolbox consisting of three modules: VirtualRobot to simulate and visualize robots, Saba the sampling-based motion planning library and GraspStudio for grasp planning.
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The Khepera III Toolbox is a collection of scripts, programs and code modules for the Khepera III robot. It allows for easy access to all sensors and actuators of the robot and provides a lot of standard programs.
A MATLAB toolbox 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.
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.