71页PPT，彻底看懂具身智能

Core Concept - Embodied Intelligence (EI) is defined as an intelligent system that perceives and acts based on a physical body, integrating perception, action, and cognition through dynamic interaction with the environment [6][11]. Comparison with Traditional AI - Traditional AI operates in static, closed digital environments, while embodied AI functions in dynamic, open physical worlds [8]. - Traditional AI relies on single or specific modalities for input, whereas embodied AI utilizes multi-modal, real-time sensor data streams [8]. - The output of traditional AI is digital signals, while embodied AI produces physical actions [8]. - Traditional AI focuses on pattern recognition and content generation, while embodied AI aims to complete specific physical tasks in the environment [8]. - Learning in traditional AI is based on large static datasets, while embodied AI learns through real-time interaction and trial-and-error [8]. Research Significance - Researching embodied intelligence can drive digital transformation across various sectors in China, supporting the development of a strong manufacturing and digital economy [12]. - It represents a future direction for general artificial intelligence, moving from virtual to physical realities and from specialized tasks to general intelligence [12]. - The technology can enhance the intelligence level of robots and automation devices, improving their adaptability and task execution capabilities across multiple industries such as service, healthcare, and education [12]. Policy Support - The Chinese government has included embodied intelligence and intelligent robotics in national strategies, emphasizing future industries like biomanufacturing and quantum technology [13]. - Various policies have been established to encourage the procurement of intelligent products and the updating of industrial robots in key sectors [13]. Development Stages - The evolution of embodied intelligence can be categorized into three stages: 1. Technical germination stage (1950s-1990s) 2. Technical accumulation stage (1990s-2020s) 3. Technical breakthrough stage (2020s-present) [16][24]. Core Technologies - The core components of embodied intelligence include the physical body (capable of perception, movement, and operation), the intelligence module (driven by multi-modal large models), and the environment (the physical world where interaction occurs) [34][35]. Industry Chain - The industry chain for embodied intelligence consists of upstream (raw materials and components), midstream (manufacturing and integration), and downstream (application scenarios) [90]. - Key hardware components include chips, sensors, motors, and communication modules, while software components involve AI algorithms, operating systems, and cloud services [93][95]. Application Scenarios - Embodied intelligence is applicable in various fields, including industrial manufacturing, transportation logistics, education, healthcare, home services, retail, scientific research, and military defense [102]. Future Development - Future developments in embodied intelligence are expected to focus on enhancing capabilities in household services, healthcare, restaurant services, retail, and public services [105]. - The concept of Embodied General Intelligence (AGI) is anticipated to emerge, representing a significant advancement in the field [106].