Awesome Embodied Vision
A curated reading list of papers, datasets, and simulators for embodied vision research, covering navigation, interaction, and reasoning.
What is Awesome Embodied Vision?
Awesome Embodied Vision is a curated GitHub repository that aggregates academic resources for embodied vision research. It provides a structured list of papers, datasets, and simulators focused on enabling AI agents to see, reason, and act in interactive 3D worlds. The project solves the problem of fragmented information by offering a single, organized entry point into this rapidly growing field.
AI researchers, PhD students, and engineers working on embodied AI, robotics, and computer vision who need a comprehensive overview of state-of-the-art literature and tools.
Developers choose this list because it is meticulously maintained by experts, follows a clear task-oriented taxonomy, and provides direct links to papers, code, and demos, saving significant literature review time compared to manual searches.
Overview
Reading list for research topics in embodied vision
Use Cases
Best For
- Finding the seminal paper on a specific embodied task like Audio-Visual Navigation
Related Projects
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