An open source framework for research in Embodied-AI from AI2.
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Updated
Aug 24, 2024 - Python
An open source framework for research in Embodied-AI from AI2.
Democratization of RT-2 "RT-2: New model translates vision and language into action"
Seamlessly integrate state-of-the-art transformer models into robotics stacks
[arXiv 2023] Embodied Task Planning with Large Language Models
Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
Official Repo of LangSuitE
Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"
This repo is the official implementation of "MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control "
Official implementation of the EMNLP 2023 paper "R2H: Building Multimodal Navigation Helpers that Respond to Help Requests"
Code for ORAR Agent for Vision and Language Navigation on Touchdown and map2seq
[GenRL] Multimodal foundation world models allow grounding language and video prompts into embodied domains, by turning them into sequences of latent world model states. Latent state sequences can be decoded using the decoder of the model, allowing visualization of the expected behavior, before training the agent to execute it.
Tracking an embodied AI agent to estimate movement from observations
Official implementation of the NAACL 2024 paper "Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning"
Official PyTorch Implementation of Genesis: Embodiment Co-Design via Efficient Message and Reward Delivery
A Production Tool for Embodied AI
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