Embodied AI systems interact with and learn from the physical world through sensory inputs and actions, using robotic or virtual tools to perceive, navigate, and interact with their environment. Our mission is to accelerate and advance research to develop AI agents that can:

Specifically, we emphasize developing “Agent AI”, an embodied system that integrates large foundation models into agent actions. The emerging field of Agent AI spans a wide range of existing embodied and agent-based multimodal interactions, including robotics, gaming, and diagnostic systems.

Agent-based multimodal AI systems are becoming a ubiquitous presence in our everyday lives. A promising direction for making these systems more interactive is to embody them as agents within specific environments. The grounding of large foundation models to act as agents within specific environments can provide a way of incorporating visual and contextual information into […]

In artificial intelligence, an embodied agent, also sometimes referred to as an interface agent, [1] is an intelligent agent that interacts with the environment through a physical body within that environment.

At GEAR, our mission is to build foundation models for embodied agents in virtual and physical worlds. Our research agenda encompasses: Multimodal foundation models: LLMs for planning and reasoning, vision-language models, and world models trained on Internet-scale data sources;

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Download 53 ai agent icons. Available in PNG and SVG formats. Ready to be used in web design, mobile apps and presentations.

Jun 30, 2024 · embodied agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability and is configurable to any observation and action space. Customize a Motion to fit a robot's action space. Run a robotics transformer model on a robot.

To accelerate research on embodied agent intelligence, we propose a new project on General Embodied Agent AI, which focuses on the broader embodied and agentic aspects of multimodal interactions. The related papers are published: 1) Agent AI Towards a Holistic Intelligence.

This is a curated list of "Embodied AI or agent with Large Language Models" research which is maintained by haonan. Watch this repository for the latest updates and feel free to raise pull requests if you find some interesting papers!