Core Viewpoint - The article discusses the differences between embodied intelligence (EAI) and composite robots, highlighting their distinct technological frameworks, control logic, and application scenarios [2][3][4]. Group 1: Technical Framework and Control Logic Differences - Composite robots are products of pure control theory, originating from the late 1970s, focusing on precise and consistent movements through pre-written control logic [3]. - Embodied intelligence relies on generative AI for control, allowing for flexibility and adaptability in decision-making without strictly predefined rules [3][4]. - The balance between generalization capability and consistency is crucial, with composite robots excelling in high-precision tasks, while embodied intelligence thrives in dynamic environments [4][6]. Group 2: Application Module Differences - Composite robots have a singular application logic, primarily driven by pre-set control logic, making them efficient in tasks requiring high consistency and reliability [6]. - Embodied intelligence systems are more versatile, integrating various technologies and allowing for autonomous decision-making and adaptability in diverse scenarios [6][7]. - The operational efficiency of embodied intelligence is maximized through a centralized "brain" that coordinates multi-modal information and optimizes task execution [7]. Group 3: Applicable Scenarios Differences - Composite robots are best suited for fixed, high-precision industrial environments where tasks are well-defined and require minimal error [9]. - Embodied intelligence is advantageous in complex, variable environments where autonomous learning and decision-making are essential, making it suitable for collaborative tasks [9].