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【人工智能】Embodied AI :具身人工智能概述 | Overview of Embodied Artificial Intelligence

embodied ai

从“互联网人工智能”时代到“具身人工智能”时代,人工智能算法和代理不再从主要来自互联网的图像、视频或文本数据集中学习。相反,他们通过与环境的互动从类似于人类的以自我为中心的感知中学习。因此,对支持各种具体人工智能研究任务的隐含人工智能模拟器的需求大幅增长。对具身人工智能日益增长的兴趣有利于对通用人工智能(AGI)的更大追求,但尚未对这一领域进行当代和全面的调查。

目录

【人工智能】Embodied AI :具身人工智能概述 | Overview of Embodied Artificial Intelligence

History

Motivation

Agent and Environment 代理和环境

Egocentric Perception 以自我为中心的感知

Internet AI

Active Perception

Sparse Rewards

Tasks

Datasets and Simulators 数据集和模拟器

Sim2Real

Applications

Conclusion


【人工智能】Embodied AI :具身人工智能概述 | Overview of Embodied Artificial Intelligence

Recent research trends in Artificial Intelligence, Machine Learning, and Computer Vision have led to a growing research space called Embodied AI. Facebook AI Research (FAIR) and Intel Labs has been spearheading new projects in the space of Embodied AI.

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