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Embodied Mobile Manipulation We go places to do things, and to do things we have to go places. Many interesting embodied tasks combine manipulation and navigation to solve problems that cannot be done with either manipulation or navigation alone.
- Generative AI for Embodied AI Generative AI isn't just a hot topic, it's an important tool researchers are using to support embodied artificial intelligence research. Topics such as generative AI for simulation, generative AI for data generation, and generative AI for policies (e.g., diffusion policies and world models) are of great interest.
- Language Model Planning When we go somewhere to do something we do it for a purpose. Language model planning uses large language models (LLMs), vision-language models (VLMs), and multimodal foundation models to turn arbitrary language commands into plans and sequences for action – a key feature needed to make embodied artificial intelligence systems useful for performing the tasks in open worlds.
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March 29th – Workshop Announced
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May 4th – Paper Submission Deadline
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May 13th – Paper Notification Deadline
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May – Challenge Submission Deadlines (check indivudal challenges for details)
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June 18th 8:50 AM – 6:00 PM PT – Fifth Annual Embodied AI Workshop at CVPR
- Open-World AI for Embodied AI
- Generative AI for Embodied AI
- Embodied Mobile Manipulation
- Language Model Planning
- Simulation Environments
- Visual Navigation
- Rearrangement
- Embodied Question Answering
- Embodied Vision & Language
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ARNOLD: Language grounded task learning (robotic manipulation) – https://sites.google.com/view/arnoldchallenge
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HAZARD: Multi-object rescue in hazardous environments –https://vis-www.cs.umass.edu/hazard/
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HomeRobot OVMM: Open vocabulary mobile manipulation – https://ovmm.github.io/
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ManiSkill-ViTac: Generalized manipulation/Vision-based tactile manipulation – https://ai-workshops.github.io/maniskill-vitac-challenge-2024/
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MultiON: Multi-object navigation – http://multion-challenge.cs.sfu.ca/
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PRS: Human society integration (Human-robot interaction) –https://prsorg.github.io/challenge.html
Dr David Hall (he/him)
Research Scientist
Data61 | CSIRO
david.hall@csiro.au” style=”color:black;margin-top:0px;margin-bottom:0px” target=”_blank”>david.hall@csiro.au | 07 3327 4041
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