Luminous is a framework for testing the performance of embodied AI (EAI) models in indoor tasks. Generally, we integrate different kind of functionalities into this repository that are related to evaluate EAI performance for indoor tasks. The Indoor Scene Synthesis module provides different methods for synthesize randomized indoor scenes that be visualized in Unity Engine. The Luminous for Alfred offers the complete pipeline to conduct data augmentation such as generating Alfred tasks in Luminous, solving the trajectories of tasks, rendering images, and generating natural language descriptions.

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Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impactRead more