Galileo: perceiving physical object properties by integrating a physics engine with deep learning

Research article (http://web.mit.edu/%7Eilkery/www/papers/phys_nips.pdf, 2015) · cited 262× · AI/ML
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Galileo: perceiving physical object properties by integrating a physics engine with deep learning

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Galileo: perceiving physical object properties by integrating a physics engine with deep learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Galileo: perceiving physical object properties by integrating a physics engine with deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine-with-deep-learning
MLA “Galileo: perceiving physical object properties by integrating a physics engine with deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine-with-deep-learning.
BibTeX @misc{4ortxyz_galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine-with-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Galileo: perceiving physical object properties by integrating a physics engine with deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine-with-deep-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Galileo: perceiving physical object properties by integrating a physics engine with deep learning — https://4ort.xyz/entity/galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine-with-deep-learning (retrieved 2026-05-24)

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