Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar
YouTube
60 Cours
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Aperçu
Explorez la frontière de la technologie avec le séminaire de l'Université de Stanford sur "L'apprentissage de la représentation pour les robots autonomes" présenté par Anima Anandkumar. Dans le domaine de la robotique autonome, la quête d'efficacité, d'agilité et de polyvalence est primordiale. Ces machines doivent s'adapter à une multitude de tâches et de défis environnementaux, nécessitant le développement de représentations sophistiquées de leur domaine et de leurs tâches. Ceci est réalisé en tirant parti de diverses sources de données, y compris des démonstrations et des simulations, pour favoriser un apprentissage à la fois généralisable et robuste.
Anima Anandkumar examinera les composants critiques nécessaires à cultiver ces capacités, soulignant l'importance d'un apprentissage autonome robuste, de l'intégration de la conscience de l'incertitude, et du principe de compositionnalité. En utilisant NVIDIA Isaac, ce séminaire montre comment l'accélération GPU peut révolutionner l'apprentissage des robots, permettant des solutions évolutives à travers diverses tâches et domaines.
Ce séminaire fait partie d'une série proposée par l'Université de Stanford, disponible sur YouTube, et relève des catégories des cours sur les véhicules autonomes et les cours d'apprentissage autonome. Rejoignez-nous pour dénouer les complexités et découvrir le potentiel des robots autonomes à travers un apprentissage avancé de la représentation.