"Embodied Intelligence and Robotics" is an international, high-impact academic journal dedicated to exploring the profound relationship between embodied intelligence and robotics, along with their intersections and applications across various domains.

Embodied intelligence has emerged as a significant research focus within artificial intelligence and cognitive science in recent years, emphasizing the cognitive capabilities of intelligent systems in interaction with their physical bodies and environments. Unlike the traditional approaches to intelligence, which rely on symbolic processing and abstract computation, embodied intelligence emphasizes that cognition is not solely dominated by the brain. Instead, it is realized through the close connection and interaction between the body, perception, and action and the external environment. This concept has been widely applied in robotics, particularly in areas such as intelligent robotics, human-robot collaboration, multimodal perception and control, and swarm robotics, which have shown remarkable innovations in these fields.

This journal focuses on, but is not limited to, the following key research areas:

Intelligent Robotics: Investigating how principles of embodied intelligence can be applied to robotic learning and adaptation, enabling robots to continuously optimize their behaviors through experience to better accomplish tasks.
Human-Robot Collaboration: Exploring the role of embodied intelligence in interactions between robots and humans, facilitating the development of intelligent robots that can comprehend and respond to human emotions and intentions, thereby enhancing the efficiency and safety of human-robot collaboration.
Multimodal Perception and Control: Integrating multiple sensory modalities, such as vision, touch, and hearing, to examine how embodied intelligence can augment a robot's perceptual capabilities and decision-making quality to support more complex task execution.
Collective Intelligence and Distributed Robotic Systems: Investigating collaboration mechanisms among multiple embodied intelligent agents, studying their performance in collective decision-making and task execution, and understanding how bodily interactions can enhance the efficiency of collective intelligence.
Industrial Applications: Emphasizing the synergistic integration of advanced technologies and human creativity in industrial and case study contexts to promote sustainable, efficient, and human-centric systems. 

Our vision is to bridge the gap between embodied intelligence research and robotics applications, driving interdisciplinary collaboration and advancing both academic and practical innovations.