帮我讲述AI的定义和AI和普通程序有什么不同？智能制造的概念与场景的应用有什么？然后AI与机械臂的融合是什么样的？举例说出mobile aloha的新概念和应用。---The image presents informational content structured into three distinct sections, each detailing an aspect of Artificial Intelligence. **Chart/Diagram Description:** * **Type:** Informational diagram / Flowchart (conceptual). * **Main Elements:** * Three main conceptual blocks are arranged horizontally from left to right, labeled 1, 2, and 3. * Each block features: * A central blue circle containing a white number (1, 2, or 3). * Faint, light blue curved lines (arcs) are positioned around each blue circle, giving a sense of motion or data flow. * A title in purple text below each numbered circle. * A paragraph of descriptive text in black below each title. * The overall layout suggests a progression or categorization of information related to AI. --- **Extracted Content:** **Section 1: AI 定义 (AI Definition)** * **Title:** AI定义 (AI Definition) * **Textual Information:** 人工智能 (Artificial Intelligence, AI) 是指使计算机系统能够模拟人类智能行为的技术，具备感知、理解、推理和决策能力。 (Translation: Artificial Intelligence (AI) refers to a technology that enables computer systems to simulate human intelligent behavior, possessing capabilities such as perception, understanding, reasoning, and decision-making.) --- **Section 2: 应用举例 (Application Examples)** * **Title:** 应用举例 (Application Examples) * **Textual Information:** 人脸识别、自动驾驶、语音助手、图像识别、推荐系统等广泛应用于日常生活与工业场景。 (Translation: Face recognition, autonomous driving, voice assistants, image recognition, recommendation systems, etc., are widely applied in daily life and industrial scenarios.) --- **Section 3: AI 与普通程序区别 (Difference between AI and Ordinary Programs)** * **Title:** AI与普通程序区别 (Difference between AI and Ordinary Programs) * **Textual Information:** 普通程序: 基于固定规则执行任务 (如 if-else、手工定义逻辑)。 AI程序: 通过数据训练自主学习规律、生成模型，具备适应性和泛化能力。 (Translation: Ordinary Programs: Execute tasks based on fixed rules (e.g., if-else, manually defined logic). AI Programs: Learn patterns autonomously through data training, generate models, and possess adaptability and generalization capabilities.) Here is the extracted content from the image: **Section 1: 智能制造概念 (Smart Manufacturing Concept)** 智能制造是融合人工智能、大数据、云计算与自动化技术，推动制造系统实现感知、分析、决策和执行一体化的现代化生产方式。 (Translation: Smart manufacturing is a modern production method that integrates artificial intelligence, big data, cloud computing, and automation technology to promote the integrated realization of perception, analysis, decision-making, and execution in manufacturing systems.) **Section 2: 智能制造系统构成 (Smart Manufacturing System Composition)** 感知系统（传感器、图像识别）、决策系统（AI算法、平台控制）、执行系统（机械臂、协作机器人等）。 (Translation: Perception system (sensors, image recognition), decision system (AI algorithms, platform control), execution system (robotic arms, collaborative robots, etc.).) **Section 3: 机械臂能做什么 (What Robotic Arms Can Do)** 自动化搬运与分拣、零部件装配与打螺丝、自动喷涂、焊接与切割、医疗配药、食品分装等服务任务。高精度、高重复性、可编程、可集成多种传感模块实现复杂操作。 (Translation: Automated handling and sorting, parts assembly and screwing, automatic spraying, welding and cutting, medical dispensing, food packaging and other service tasks. High precision, high repeatability, programmable, and capable of integrating multiple sensing modules to perform complex operations.) **Chart/Diagram Description:** * **Type:** This is a process flow diagram or a sequential information presentation layout. * **Main Elements:** * **Structure:** Three blue circular nodes, numbered 1, 2, and 3, are arranged horizontally. A light blue, curved line connects the nodes, suggesting a flow or progression. * **Nodes (numbered circles):** * **Node 1:** A blue circle with the number "1" in white. * **Node 2:** A blue circle with the number "2" in white. * **Node 3:** A blue circle with the number "3" in white. * **Labels and Annotations (Text associated with each node):** * **Below Node 1:** * Title: AI+机械臂应用场景 (AI+Robotic Arm Application Scenarios) * Description: 视觉识别目标后抓取指定物品、基于语言指令控制动作路径、实现动态调整、错位纠正与路径优化等自主决策能力。(After visual recognition of the target, grasp specified items, control action paths based on language commands, achieve dynamic adjustment, misalignment correction, and path optimization, and other autonomous decision-making capabilities.) * **Below Node 2:** * Title: mobile aloha概念 (mobile aloha concept) * Description: 举例说明mobile aloha (概念和介绍)。(Illustrate mobile aloha (concept and introduction).) * **Below Node 3:** * Title: AI+机械臂工作流程 (AI+Robotic Arm Workflow) * Description: 摄像头识别图像界面 + 控制路径规划图 + 执行动作图组合。(Camera recognizes image interface + control path planning diagram + execution action diagram combination.)