Frontiers of Embodied Intelligence is a premier, fully open-access journal dedicated to the rapidly advancing field of artificial intelligence systems that perceive, reason, and act within physical or virtual environments. This journal aims to bridge the gap between artificial intelligence, robotics, and cognitive science by providing a unified platform for groundbreaking research on agents that learn and interact through physical embodiment. We seek to publish high-impact work that explores foundational models, learning paradigms, multimodal perception, and real-world applications, fostering a community dedicated to developing safe, interactive, and intelligent systems. 

Topic 1: Foundation Models for Embodied Intelligence

1) Architecture Design for Robotic Foundation Models

2) World Models for Embodied Agents

3) Scaling Laws and Emergent Abilities in Embodied Systems

4) Efficient and Low-Latency Inference for Real-World Deployment

5) Theoretical Foundations of Embodied Intelligence

Topic 2: Learning, Adaptation, and Generalization in Embodied Systems

1) Reinforcement Learning and Imitation Learning from Multimodal Data

2) Zero/Few-Shot and Long-tail Learning for Embodied Agents

3) Continual/Lifelong Learning in Dynamic Environments

4) Embodied Chain-of-Thought (CoT) Reasoning with LLMs

5) Learning from Physical Interaction, Correction, and Human Feedback

Topic 3: Multimodal Perception and Interaction

1) Multimodal Perception and Fusion

2) 3D Scene Understanding and Semantic Mapping

3) Affordance Prediction and Functional Object Recognition

4) Egocentric Vision and Embodied Vision-Language Models

5) Multimodal Sensor Data Fusion

6) Localization, Navigation and Controlling

Topic 4: Systems and Real-World Applications

1) Multi-Agent Collaboration Systems

2) Human-Robot Interaction

3) Robotic Systems Integration and Deployment

4) Edge Computing, End-Cloud Collaboration and Communication Technologies

5) Embodied AI in Manufacturing, Logistics, Agriculture, and etc

Topic 5: Safety, Interpretability and Ethics

1) Alignment and Safety in Physical Systems

2) Bias, Fairness, and Transparency in Embodied AI

3) Interpretability and Explainability of Embodied Models

4) Data Privacy and Security in Human-Centric Environments

5) Ethical Human-robot Interaction and Societal Impact

Topic 6: Simulation, Datasets and Environments

1) Large-scale Embodied Data Collection and Curation

2) Image and Video Synthesis and Generation

3) Benchmarks and Metrics for Evaluating Embodied Intelligence

4) Human-in-the-Loop Data Collection and Annotation Frameworks

5) Standardization of Embodied AI Evaluation Protocols