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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.
科学测速器 app
    
    
        
    
    
    Panel consists of researchers who have built various simulation environments and physics engines.
    Topics are based on questions, likely involving the need for simulation, progress in developing AI agents in simulation, need for photo-realism, physics engines for simulation, multi-agent capabilities, sim-to-real, the future of simulators, accessibility of such environments to all, and more!
    
 
    
    
        
    
    
    Panel consists of speakers at this workshop.
    Topics are based on questions, likely involving cognitive development in humans, progress in embodied AI tasks, sim-2-real transfer, robotics, embodied AI for all, and more!
    
 
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    Alison Gopnik
    UC Berkeley
    老王vpm2.2.12下载安卓版
    Indiana
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    Raquel Urtasun
    Uber ATG Toronto
    University of Toronto
    老王的灯笼最新版
    DeepMind
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    老王vpm2.2.8下载苹果
    UIUC
    Deepak Pathak
    FAIR, UC Berkeley
    CMU (Starting Fall 2024)
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    Dieter Fox
    Nvidia, UW
    Franziska Meier
    FAIR
Sim-2-Real Transfer
    老王v p n安卓版
    Georgia Tech
    Sonia Chernova
    Georgia Tech
老王vpm2.28下载安卓版
    Heidi Hysell
    Alpha Drive
    Rishabh Jain
    Eval AI
Georgia Tech
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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:
  
    
       | 
      iGibson | 
      Habitat | 
      RoboTHOR | 
    
    
      | Problem
       | PointNav | 
      PointNav/ObjNav | 
      ObjNav | 
    
    
      | Test setup | 
      Real | 
      老王 2.2.7 | 
      老王2.2.3 | 
    
    
      | Agent | 
      LoCoBot | 
    
    
      | Observations | 
      RGB-D | 
    
    
      | Actions | 
      Discrete/Continuous | 
      老王的灯笼v2.2.9 | 
      Discrete/Continuous | 
    
  
 
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iGibson Challenge
老王的灯笼最新版
Habitat Challenge
Organizer Video
老王的灯笼v2.2.9
老王2.2.3
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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.
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