Deep Learning
R2026bAnwendung von Deep-Learning-Workflows auf autonome Navigationsanwendungen
Diese Beispiele wenden Deep-Learning-Workflows auf autonome Navigationsanwendungen an, indem sie Deep Learning Toolbox™ zusammen mit Navigation Toolbox™ verwenden.
Enthaltene Beispiele
Train Deep Learning-Based Sampler for Motion Planning
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.
Accelerate Motion Planning with Deep-Learning-Based Sampler
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.
