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].

Core Insights - The rapid development of humanoid robots is driven by embodied intelligence, which is crucial for commercial viability [1] - The market for humanoid robots is projected to exceed one trillion yuan by 2045, with current market size under ten billion yuan [1] Group 1: Market Potential - Humanoid robots possess human-like perception, body structure, and movement, making them highly adaptable to various applications in manufacturing, social services, and hazardous operations [1] - According to the "Humanoid Robot Industry Development Research Report (2024)", the overall intelligence level of humanoid robots in China will remain at Level 1 from 2024 to 2028, with only a few products exploring Level 2 [1] - The evolution towards embodied intelligence is expected to break the limitations of specific scenarios and tasks, leading to comprehensive coverage across industries [1] Group 2: Technological Advancements - Multi-modal large models are key to enhancing human-robot interaction efficiency and situational understanding, with companies like NVIDIA and Tesla actively integrating multi-modal perception [2] - Reinforcement learning is anticipated to become a primary paradigm for motion algorithms, enabling efficient learning of gaits and running through reward functions [2] - The integration of pure visual solutions, six-dimensional force sensors, and electronic skin is expected to set a standard for sensory solutions, significantly improving perception sensitivity [2] Group 3: Communication and Computing - Real-time control requires efficient communication protocols and robust hardware computing power, with EtherCAT expected to become the mainstream communication protocol due to its high real-time performance and low latency [2] - As robot intelligence evolves towards embodied intelligence, the demand for edge computing power is projected to continue growing, driving performance upgrades in edge-side chips [2]