Welcome to Awesome-Embodied-AI-Robot
Awesome-Embodied-AI-Robot is a resource center focused on robot learning, reinforcement learning, and embodied AI. We are dedicated to collecting and organizing the latest research advancements, papers, and code implementations in this field.
Fundamental Theory
Core theoretical foundations of embodied AI, including mathematical models and basic algorithms.
Learn MoreRobot Learning
Latest robot learning algorithms, reinforcement learning methods and practical experiences.
Learn MoreEnvironment Perception
Research on robot environment perception and scene understanding, along with related algorithms.
Learn MoreMotion Planning
Robot motion planning, trajectory optimization and related research.
Learn MoreTask Planning
Task decomposition, hierarchical planning, and learning-based planning methods.
Learn MoreMultimodal Interaction
Research on robot-human and robot-environment multimodal interactions.
Learn MoreSimulation Platforms
Various robot simulation platforms and tools for research and development.
Learn MoreLatest Updates
Recently Updated Content
LLM-based Robot Task Planning
3 days agoAdded new research on large language models in robot task planning
Task PlanningVision-Language Multimodal Fusion Progress
1 week agoUpdated latest research results in vision-language multimodal fusion
Multimodal InteractionNew Open-Source Robot Simulation Platforms
2 weeks agoComprehensive collection of mainstream open-source robot simulation platforms
Simulation PlatformsContributing
How to Contribute
We welcome contributions in the following ways:
- Submit new papers and related code implementations
- Improve existing content and documentation
- Report issues or suggest improvements
- Share your experiences and case studies
Please contribute through GitHub Issues or by creating a Pull Request.