Core Viewpoint - The article discusses the integration of "brain," "cerebellum," and "body" in embodied intelligent systems, emphasizing the need for improved collaboration and data acquisition for advancing artificial general intelligence (AGI) [2][3][4]. Group 1: Components of Embodied Intelligence - The "brain" is responsible for perception, reasoning, and planning, utilizing large language models and visual language models [2]. - The "cerebellum" focuses on movement, employing motion control algorithms and feedback systems to enhance the naturalness and precision of robotic actions [2]. - The "body" serves as the physical entity that executes the plans generated by the "brain" and the movements coordinated by the "cerebellum," embodying the principle of "knowing and doing" [2]. Group 2: Challenges and Future Directions - There is a need for the "brain" to enhance its reasoning capabilities, enabling it to infer task paths without explicit instructions or maps [3]. - The "cerebellum" should become more intuitive, allowing robots to react flexibly in complex environments and handle delicate objects with care [3]. - The collaboration between the "brain" and "cerebellum" requires improvement, as current communication is slow and responses are delayed, aiming for a seamless interaction system [3]. Group 3: Data Acquisition - The article highlights the challenges in data collection, noting that it is often difficult, expensive, and noisy, which hinders the training of intelligent systems [3]. - There is a call for the development of a training repository that is realistic, diverse, and transferable to enhance data quality and accessibility [3]. Group 4: Expert Discussion - A roundtable discussion is planned with experts from Beijing Academy of Artificial Intelligence and Zhiyuan Robotics to explore recent technological advancements and future pathways for embodied intelligence [4].