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Embodied_AI_Paper_List

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Basic Information

This repository is a curated paper list and resource hub for Embodied Artificial Intelligence. It collects and organizes a comprehensive set of publications, surveys, simulators, datasets, benchmarks, models, tools, and projects related to embodied perception, interaction, embodied agents, and sim-to-real adaptation. The README functions as both an annotated bibliography and a living survey that accompanies the authors' review paper titled "Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI" (accepted by IEEE/ASME Transactions on Mechatronics). Content is grouped into topical sections including simulators, embodied perception (visual and tactile), interaction, embodied agents, manipulation and control, datasets, and other useful projects and tools. The project is maintained by HCPLab-SYSU with an update log and encourages community feedback via issues and pull requests. It aims to keep an up-to-date reference of state-of-the-art works and resources for the embodied AI research community.

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1635
App URL
https://github.com/HCPLab-SYSU/Embodied_AI_Paper_List
Github Repository
https://github.com/HCPLab-SYSU/Embodied_AI_Paper_List/blob/main/README.md

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App Details

Features
The README provides a structured taxonomy and an extensive bibliography of recent and classic works across multiple subfields of embodied AI. Key features include chronological and topical organization of papers, a dedicated survey PDF, a regularly updated list of simulators and real-scene platforms, extensive dataset directories (vision, tactile, navigation, manipulation), and curated lists of benchmarks and toolkits. It highlights recent additions and notable papers with short annotations and project links where available. The repository also lists relevant projects, open-source tools, and example implementations for embodied agents, world models, multimodal large models, and sim-to-real methods. Additional assets include figures and teaser images, a clear update log, citation entries for the survey, and explicit contact information for maintainers.
Use Cases
Researchers, students, and practitioners can use this repository as a one-stop reference to locate influential and recent work in embodied AI, discover simulators and datasets suitable for experiments, and find open-source projects and benchmarks to reproduce or extend. The topical structure helps newcomers quickly learn key subareas such as active visual exploration, 3D perception, vision-language navigation, tactile sensing, embodied manipulation, and sim-to-real transfer. The included survey synthesizes trends and challenges, enabling literature reviews, course preparation, grant writing, and experiment design. Regular updates and community contributions help the list remain current, and citation information makes it straightforward to reference the survey in academic work. The repository also points to software and datasets that speed up prototyping and evaluation of embodied agents.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

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