Pick & Place application by integrating Matlab & ROS
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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.
Citation pour cette source
Masaru Morita (2026). Matlab_ROS_PickPlace (https://github.com/ntl-ros-pkg/Matlab_ROS_PickPlace), GitHub. Extrait(e) le .
Informations générales
Compatibilité avec les versions de MATLAB
- Compatible avec les versions R2019a et ultérieures
Plateformes compatibles
- Windows
- macOS
- Linux
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0 |
