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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.

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Submit Questions
[archived submitted questions]

Join Zoom Meeting
June 14th | 5-6 PM PST

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!

Submit Questions
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Join Zoom Meeting
June 15th | 9-10 AM PST

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

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Indiana

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Raquel Urtasun
Uber ATG Toronto
University of Toronto

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DeepMind

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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

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Georgia Tech

Sonia Chernova
Georgia Tech

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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.

iGibson Challenge

Habitat Challenge

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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
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Winners

Habitat Challenge
Organizer Video

ObjectNav Winners

PointNav Winners
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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.

Jose M. Alvarez

NVIDIA

Anelia Angelova

Google

Dhruv Batra

GaTech, FAIR

Angel X. Chang

SFU

Samyak Datta

GaTech

Matt Deitke

AI2, UW

Ali Farhadi

Apple, UW

Aaron Gokaslan

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Aleksandra Faust

Google

Jose A. Iglesias-Guitian

UDC, CITIC

Abhishek Kadian

FAIR

Aniruddha Kembhavi

AI2, UW

Vangelis Kokkevis

TRI

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Eric Kolve

AI2

Stefan Lee

Oregon State

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Eric (Chengsu) Li

Stanford

Antonio Lopez

CVC, UAB

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FAIR

Jitendra Malik

UC Berkeley

Roberto Martín-Martín

Stanford

Roozbeh Mottaghi

AI2, UW

Devi Parikh

GaTech, FAIR

German Ros

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Manolis Savva

SFU, FAIR

Dustin Schwenk

AI2

Philipp Slusallek

DFKI

Julian Straub

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Jie Tan

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Alexander Toshev

Google

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Stanford

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GaTech

Amir Zamir

EPFL