Create a deep learning-based sampler using Motion Planning Networks to speed up path planning using sampling-based planners like RRT (rapidly-exploring random tree) and RRT*. For information about Motion Planning Networks (MPNet) for state space sampling, see Get Started with Motion Planning Networks (Navigation Toolbox).
The example shows how to use sampling-based planners such as RRT (rapidly-exploring random tree) and RRT* with Motion Planning Networks (MPNet), deep-learning-based sampler to find optimal paths efficiently.
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