Developing a Pick-And-Place Application in MATLAB and Simulink

Many pick-and-place robotic applications require a lengthy workflow: from computer vision and deep learning for object detection, motion planning and control, to simulation and deployment. This workflow may require multiple programming languages and tools. In MATLAB® and Simulink® this process is integrated. This presentation will show you how to design a vision-driven pick-and-place application for a robot manipulator, first in simulation and then easily switching to hardware deployment without leaving MATLAB and Simulink. 

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