Embodied AI Workshop
CVPR 2026 - Denver

#

Overview

Minds live in bodies, and bodies move through a changing world. The goal of embodied artificial intelligence is to create agents, such as robots, which learn to creatively solve challenging tasks requiring interaction with the environment. While this is a tall order, fantastic advances in deep learning, the explosive growth of large language models, and the increasing availability of large datasets like ImageNet have enabled superhuman performance on a variety of AI tasks previously thought intractable. Computer vision, speech recognition and natural language processing have experienced transformative revolutions at passive input-output tasks like language translation and image processing, and reinforcement learning has similarly achieved world-class performance at interactive tasks like games. These advances have supercharged embodied AI, enabling a growing collection of researchers to make rapid progress towards intelligent agents which can:

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

The goal of the Embodied AI workshop is to bring together researchers from computer vision, language, graphics, and robotics to share and discuss the latest advances in embodied intelligent agents. EAI 2026’s overaching theme is World Models for Embodied AI: embodied AI agents that create models of the world to help them imagine and act, or to help researchers to test and evaluate them. This umbrella theme is divided into three topics:

  • World Models for Action and Evaluation Explores both dynamics models which incorporate physics and geometry, and video models where dynamics are implicit.
  • The Resurgence of Classic Methods Examining new applications of techniques such as reinforcement learning and model-predictive control to embodied AI.
  • Long-Horizon Embodied Intelligence Explores benchmarks and methods for multi-step tasks, robust testing, and, in particular, safe operation.
For more information on the Embodied AI Workshop series, see our Retrospectives paper on the first three years of the workshop. For the latest updates, follow the Embodied AI Medium blog at medium.com/embodied-artificial-intelligence.

Sign Up for Updates
You can unsubscribe at any time.

#

Attending

The Embodied AI 2026 workshop will be held in conjunction with CVPR 2026 in Denver, Colorado. It will feature a host of invited talks covering a variety of topics in Embodied AI, many exciting Embodied AI challenges, a poster session, and panel discussions. The Embodied AI workshop will be held in-person with remote options on June 4th from 8:30 to 5:30 CDT:

For late-breaking updates from CVPR, see the workshop's CVPR page when it becomes available.

#

Timeline

Workshop Announced
February 2nd, 2026
Paper Submission Deadline
April 3rd May 15th, 2026
Paper Notification Deadline
April 24th May 27th, 2026
Challenge Submission Deadlines
May-June, 2026. Check each challenge for the specific date.
Camera Ready Copy Deadline
May 15th June 1st, 2026
Seventh Annual Embodied AI Workshop at CVPR
Denver, Colorado
June 4th, 2026
Challenge Winners Announced
At the workshop. Check each challenge for specifics.

#

Workshop Schedule

Embodied AI will be a hybrid workshop, with both in-person talks and streaming via zoom.
  • Workshop Talks: 8:30AM-5:30PM CDT - Room TBD
  • Poster Session: 12:00PM-1:30PM CDT - TBD boards TBD
Zoom information can be found for CVPR attendees on our official CVPR workshop page when it becomes available.
Remote and in-person attendees are welcome to ask questions via Slack:

  • Workshop Introduction: Embodied AI
    8:30 - 9:00 AM CDT
    Location: Room TBD
    Anthony Francis
    Logical Robotics
  • Challenge Presentations - Winning Methods
    (TBD)
    9:00 - 10:00 AM CDT
    Location: Room TBD
    Moderator - David Hall
    CSIRO
  • Challenge Q&A
    10:00 - 10:30 AM CDT
    Location: Room TBD
  • Invited Talk - Tapomayukh Bhattacharjee, Cornell University
    Title: Long-Horizon EmbodiedAI
    10:30 - 11:00 AM CDT
    Location: Room TBD
    Tapomayukh Bhattacharjee
    Cornell University

    Bio: Tapomayukh "Tapo" Bhattacharjee is an Assistant Professor in the Department of Computer Science at Cornell University where he directs the EmPRISE Lab (https://emprise.cs.cornell.edu/). He completed his Ph.D. in Robotics from Georgia Institute of Technology and was an NIH Ruth L. Kirschstein NRSA postdoctoral research associate in Computer Science & Engineering at the University of Washington. His primary research interests are in the area of physical robot caregiving and physical human-robot interaction. He is the recipient of TRI Young Faculty Researcher Award'24, NSF CAREER Award'23, AFCEA 40 under 40 Award'22, and his work has won Best Systems Paper Award at HRI’26, Best Paper Award at RSS’25, Best Paper and Student Paper Award Finalist and Best HRI Paper Award Finalist at ICRA’25, Best Systems Paper Award Finalist at HRI'24, Best Demo Award at HRI'24, Best RoboCup Paper Award at IROS’22, Best Paper Award Finalist and ABB Best Student Paper Award Finalist at IROS’22, Best Technical Advances Paper Award at HRI'19, and Best Demonstration Award at NeurIPS’18. His work has also been featured in many media outlets including the BBC, Reuters, New York Times, IEEE Spectrum, and GeekWire and his robot-assisted feeding work was selected to be one of the best interactive designs of 2019 by Fast Company.

    Abstract: TBD
  • Invited Talk - Stefan Leutenegger, ETH Zurich
    Title: Spatial AI and Robot Learning for the Real World
    11:00 - 11:30 AM CDT
    Location: Room TBD
    Stefan Leutenegger
    ETH Zurich

    Bio: Prof. Dr. Stefan Leutenegger is an Associate Professor in the Department of Mechanical and Process Engineering of ETH Zurich.

    Abstract: TBD
  • Invited Talk - Lewis Chiang, Google DeepMind
    Title: TBD
    11:30 AM - 12:00 PM CDT
    Location: Room TBD
    Lewis Chiang
    Google DeepMind

    Bio: Lewis Chiang is a Research Scientist at Google DeepMind, where he works on Gemini Robotics. His research focuses on developing real-time robot agents. Prior to joining Google DeepMind, Lewis worked at Waymo, where he worked on motion prediction and planning.

    Abstract: TBD
  • Lunch / Accepted Papers Poster Session
    12:00 PM - 1:30 PM CDT
    Location: TBD
    • EAI's posters will be at boards TBD.
  • Invited Talk - Ruiqi Gao, Google DeepMind
    Title: World Models for Embodied AI
    1:30 - 2:00 PM CDT
    Location: Room TBD
    Ruiqi Gao
    Google DeepMind

    Bio: I am a Research Scientist at Google DeepMind. I am mainly interested in generative models and representation learning. My recent research focus is to construct powerful generative AI models that can comprehend, generate, and reason with multi-modal data, including natural language, images, videos and 3D. I obtained my Ph.D. from UCLA advised by Song-Chun Zhu and Ying Nian Wu. Prior to that, I received my B.S. degree of Statistics from Peking University..

    Abstract: TBD
  • Invited Talk - Siyuan Huang, BIGAI
    Title: Understand the 3D World for Humanoid Robots
    2:00 - 2:30 PM CDT
    Location: Room TBD
    Siyuan Huang
    BIGAI

    Bio: I am a Research Scientist at Beijing Institute for General Artificial Intelligence (BIGAI), where I direct the Center of Embodied AI and Robotics. I received my Ph.D. from Department of Statistics at University of California, Los Angeles (UCLA). During my Ph.D., I have interned at DeepMind and Facebook Reality Lab. Before UCLA, I graduated from Tsinghua University with a Bachelors in Department of Automation. My research interests lie in computer vision, robotics, machine learning, and cognition. My long-term goal is to build general-purpose intelligent agents that could understand and interact with the 3D environment like or even beyond humans. I like developing generalizable robotic models, especially the unified models for solving the perception, interaction, control, learning, and planning problem. I am currently focusing on general topics in 3D scene understanding, embodied AI, humanoid robots, and dexterous manipulation.

    Abstract: TBD
  • Invited Talk - TBD
    Title: TBD
    2:30 - 3:00 PM CDT
    Location: Room TBD
  • Invited Talk - Jiaolong Yang, Microsoft Research Asia
    Title: 3D Computer Vision and Spatial AI
    3:00 - 3:30 PM CDT
    Location: Room TBD
    Jiaolong Yang
    Microsoft Research Asia

    Bio: I'm currently a Principal Researcher and Research Manager in the Microsoft Research Asia (MSRA) Lab located in Beijing, China. I lead a team to do cutting-edge research in 3D Computer Vision and Spatial AI, including but not limited to 3D reconstruction and generation, human face & body modelling, immersive AI experiences, and physical AI embodiments. Part of my research has been transfered to various Microsoft Products such as Microsoft Copilot, Microsoft Azure AI, Microsoft Cognitive Services, Windows Hello, Microsoft XiaoIce, etc. I serve regularly as the program committee member/reviewer for major computer vision conferences and journals including CVPR/ICCV/ECCV/TPAMI/IJCV, the Area Chair for CVPR/ICCV/ECCV/WACV/MM, and the Associate Editor for the prestigious journal International Journal on Computer Vision (IJCV). Before joining MSRA in Sep 2016, I received dual PhD degrees from The Australian National University (Advisor: Prof. Hongdong Li) and Beijing Institute of Technology (Advisor: Prof. Yunde Jia) in 2016. I was a research intern at MSRA from Nov 2015 to Mar 2016 (Mentor: Dr. Gang Hua), and was an visiting graduate researcher at Harvard University between Jul 2016 and Aug 2016 (Host: Dr. Deqing Sun). I received the Excellent PhD Thesis Award from China Society of Image and Graphics (中国图形图像学会优博) in 2017 (4 recipients in China), the Best Paper Award of IEEE VR 2022, and the Best Paper Honorable Mention Award of IEEE VR 2025..

    Abstract: TBD
  • Industry Talk - Microsoft Research
    Title: TBD
    3:30 - 4:00 PM CDT
    Location: Room TBD
  • Accepted Paper Highlights
    4:00 - 4:30 PM CDT
    Location: Room TBD
  • Invited Speaker Panel
    4:30 - 5:00 PM CDT
    Location: Room TBD
    Moderator - Anthony Francis
    Logical Robotics
  • Debate - Long-Horizon Safety in Embodied AI
    5:00 - 5:30 PM CDT
    Location: Room TBD
    Moderator - Anthony Francis
    Logical Robotics
  • Workshop Concludes
    5:00 PM CDT
    Location: Room TBD

#

Sponsor Events


#

Challenges

The Embodied AI 2026 workshop is hosting many exciting challenges covering a wide range of topics. More details regarding data, submission instructions, and timelines can be found on the individual challenge websites.

The workshop organizers will award each first-prize challenge winner a cash prize, sponsored by Logical Robotics and our other sponsors.

Challenge winners may be given the opportunity to present during their challenge's presentation at the workshop. Since many challenges can be grouped into similar tasks, we encourage participants to submit models to more than 1 challenge. The table below describes, compares, and links each challenge.

Challenge
Task
2026 Winner
Platform
Scene Dataset
Observations
Action Space
Interactive Actions?
Stochastic Acuation?
ARNOLDLanguage-Grounded ManipulationIsaac SimArnold DatasetRGB-D, ProprioceptionContinuous
ManiSkill-ViTacVision-Tactile Fusion Bimanual ManipulationReal Bimanual RobotCustomized ScenariosWrist Image, Tactile Image, ProprioceptionContinuous
ManipArenaDesktop and Mobile ManipulationIsaac Lab Arena (simulation), UR, Franka, ARX, Spatiotemporal AI Arm, x2robot ArmCustom DatasetRGB, joint angles, joint torquesContinuous

#

Call for Papers

We invite high-quality 2-page extended abstracts on embodied AI, especially in areas relevant to the themes of this year's workshop:

  • Embodied AI Solutions
  • World Models for Action and Evaluation
  • Classical Methods for Embodied AI
  • Long-Horizon Embodied Intelligence
as well as themes related to embodied AI in general:
  • Visual Navigation
  • Embodied Mobile Manipulation
  • Embodied Question Answering
  • Embodied AI Foundation Models
  • Embodied Vision & Language
  • Language Model Planning
  • Advances in Simulation for Embodied AI
Accepted papers will be presented as posters or spotlight talks at the workshop. These papers will be made publicly available in a non-archival format, allowing future submission to archival journals or conferences. Paper submissions do not have to be anononymized. Per CVPR rules regarding workshop papers, at least one author must register for CVPR using an in-person registration.

The submission deadline will close May 15th, 2026 ( Anywhere on Earth - for clarity, 00:01 in GMT as computed by OpenReview). Papers should be no longer than 2 pages (excluding references) and styled in the CVPR format.

Note. The order of the papers is randomized each time the page is refreshed.

#

Sponsors

The Embodied AI 2025 Workshop is sponsored by the following organizations:

Logical RoboticsMicrosoft

#

Organizers

The Embodied AI 2026 workshop is a joint effort by many researchers from a variety of organizations. Each year, a set of lead organizers takes point coordinating with the CVPR conference, backed up by a team of workshop organizers, challenge organizers, and scientific advisors.
Anthony Francis
Logical Robotics
David Hall
CSIRO
German Ros
NVIDIA
Heewon Kim
SSU
Mike Roberts
Adobe
Minyoung Hwang
MIT
Oleksandr Maksymets
Rachith Prakash
Ran Gong
RAI
Vivan Amin
Microsoft
Chaoyi Liu
THU
Ian Reid
MBZUAI
Ivan Laptev
MBZUAI
Jiangyong Huang
Peking U
Ma Liang
MBZUAI
Meng Cao
MBZUAI
Qian Wang
X Square Robot
Ran Gong
RAI
Rongtao Xu
MBZUAI
Rongxuan Zhang
NEU
Rui Chen
THU
Shaowei Cui
CASIA
Wenxuan Ma
CASIA
Xiaodan Liang
SYSU, MBZUAI
Xiaofeng Gao
Amazon
Yizhou Zhao
NVIDIA
Yu Sun
SYSU, X Square Robot
Ade Famoti
Microsoft
Claudia Pérez D’Arpino
NVIDIA
Peyman Moghadam
CSIRO
Roberto Martín-Martín
Stanford
Overview
Attending
Timeline
Workshop Schedule
Sponsor Events
Challenges
Call for Papers
Sponsors
Organizers