Cargando…
Mechanical intelligence for learning embodied sensor-object relationships
Intelligence involves processing sensory experiences into representations useful for prediction. Understanding sensory experiences and building these contextual representations without prior knowledge of sensor models and environment is a challenging unsupervised learning problem. Current machine le...
Autores principales: | Prabhakar, Ahalya, Murphey, Todd |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287329/ https://www.ncbi.nlm.nih.gov/pubmed/35840570 http://dx.doi.org/10.1038/s41467-022-31795-2 |
Ejemplares similares
-
Embodied Object Representation Learning and Recognition
por: Van de Maele, Toon, et al.
Publicado: (2022) -
Embodied intelligence via learning and evolution
por: Gupta, Agrim, et al.
Publicado: (2021) -
Embodied neuromorphic intelligence
por: Bartolozzi, Chiara, et al.
Publicado: (2022) -
Language and Intelligence: A Relationship Supporting the Embodied Cognition Hypothesis
por: Negri, Attà, et al.
Publicado: (2022) -
Embodied Intelligence: Smooth Coping in the Learning Intelligent Decision Agent Cognitive Architecture
por: Kronsted, Christian, et al.
Publicado: (2022)