L'apprentissage en profondeur
Appliquer des workflows d'apprentissage profond aux applications de navigation autonomes
Ces exemples appliquent des flux de travail d'apprentissage en profondeur à des applications de navigation autonomes en utilisant Deep Learning Toolbox™ avec Navigation Toolbox™.
Sélection d՚exemples
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.
