Pick & Place application by integrating Matlab & ROS
Updated 15 Jul 2019

One of MATLAB®'s product family, Robotics System ToolboxTM, contains a variety of algorithms and functions that are essential to robot development. In particular, orchestratability between the Robot Operating System (ROS) and the toolbox is extremely attractive. The toolbox will easily enable and accelerate combination evaluation of robotics system with high quality MATLAB technologies that can not be covered only by ROS.
This sample performs verification of the tool box by introducing a picking system for plant robots that combines YASKAWA's MotoMINI model provided as an OSS by the ROS-Industrial Consortium and advanced functions such as image recognition with deep learning, inverse kinematics, trajectory planning, and speech recognition provided by MATLAB.

Cite As

Masaru Morita (2024). Matlab_ROS_PickPlace (, GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with R2019a and later releases
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.