Embodied Artificial Intelligence (Embodied AI) is rapidly advancing, aiming to bridge the gap between digital intelligence and physical interaction. This repository curates a collection of survey papers and key research publications exploring recent progress in areas like embodied perception, interaction, and manipulation. The collection also expands to encompass related topics such as sim-to-real adaptation and world models. It aims for a broad overview combining groundbreaking survey works with key publications offering insights into the current state of the art.
This repository distinguishes itself by offering a regularly updated list of papers, encompassing both survey-style reviews and practical research contributions. It categorizes resources for better navigation and includes links to relevant papers and projects. The repository focuses on the most recent publications, providing a timely overview of developments in Embodied AI. It strives to be a comprehensive resource for anyone seeking an understanding of the field.
- Books & Surveys: Comprehensive reviews covering various facets of current research.
- Embodied Simulators: Resources for simulation environments supporting embodied AI research.
- Embodied Perception: Papers focusing on sensorimotor perceptions and understanding the environment.
- Embodied Interaction: Research on how embodied agents interact with the world and humans.
- Embodied Agent: Studies on the design and control of embodied agents.
- Sim-to-Real Adaptation: Techniques for transferring knowledge from simulation to real-world robots.
- Datasets: Lists of datasets relevant to embodied AI research.
The project is actively maintained with regular updates to the paper list and the addition of relevant resources. The repository includes a growing number of publications covering 2024-2026, suggesting ongoing curation efforts. It has a clear structure with an emphasis on latest publications in the field. It's an actively growing resource.
This repository benefits researchers, students, and practitioners seeking to stay informed about the latest advancements in Embodied AI. It provides a structured entry point to a wide range of research, particularly valuable for those new to the field or looking for a comprehensive overview. It offers a curated selection of papers, survey, and datasets to facilitate research and development in embodied intelligence. It saves researchers time by aggregating relevant literature in a single location.