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There is an emerging paradigm shift from ‘Internet AI’ towards ‘Embodied AI’ in the computer vision, NLP, and broader AI communities. In contrast to Internet AI’s focus on learning from datasets of images, videos, and text curated from the internet, embodied AI enables learning through interaction with the surrounding environment.

The goal of this workshop is to bring together researchers from the fields of computer vision, language, graphics, and robotics to share and discuss the current state of intelligent agents that can:

• See: perceive their environment through vision or other senses
• Talk: hold a natural language dialog grounded in their environment
• Act: navigate and interact with their environment to accomplish goals
• Reason: consider and plan for the long-term consequences of their actions

The Embodied AI 2024 workshop will be held in conjunction with CVPR 2024 in Seattle, WA over two days, Jun 14 and Jun 15. It will feature a host of invited talks covering a variety of topics in Embodied AI, three exciting challenges, and a panel discussion.

小语加速器下载地址-猴王加速器

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小语加速器下载地址-猴王加速器

小语加速器下载地址-猴王加速器

小语加速器下载地址-猴王加速器

小语加速器下载地址-猴王加速器

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小语加速器下载地址-猴王加速器

The Embodied AI 2024 workshop will host three exciting challenges focusing on the problems of point navigation, object navigation, and the transfer of models from simulated environments to the real world. More details regarding data, submission instructions and timelines can be found on the individual challenge websites.

Although these challenges use three different simulation engines, the APIs, action and observation spaces, as well as agent are unified. Thus, participants are encouraged to participate in all challenges as these can use identical setups.

In more detail, the challenges relate to each other as follows:

小语加速器下载地址-猴王加速器

iGibson Challenge
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Habitat Challenge
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小语加速器下载地址-猴王加速器

The Embodied AI 2024 workshop is a joint effort by a large set of researchers from a variety of organizations. They are listed below in alphabetical order.

小语加速器下载地址-猴王加速器