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World models and predictive coding for cognitive and developmental robotics: frontiers and challenges
Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
and learn skills continuously is the ultimate achievement envisioned in cognitive and …
Habitat: A platform for embodied ai research
We present Habitat, a platform for research in embodied artificial intelligence (AI). Habitat
enables training embodied agents (virtual robots) in highly efficient photorealistic 3D …
enables training embodied agents (virtual robots) in highly efficient photorealistic 3D …
Cognitive map** and planning for visual navigation
We introduce a neural architecture for navigation in novel environments. Our proposed
architecture learns to map from first-person views and plans a sequence of actions towards …
architecture learns to map from first-person views and plans a sequence of actions towards …
Unconstrained scene generation with locally conditioned radiance fields
We tackle the challenge of learning a distribution over complex, realistic, indoor scenes. In
this paper, we introduce Generative Scene Networks (GSN), which learns to decompose …
this paper, we introduce Generative Scene Networks (GSN), which learns to decompose …