Core Viewpoint - The article discusses the advancements and challenges in the field of robotic dexterity, particularly focusing on the development of human-like robotic hands that can perform complex tasks with high precision and adaptability [1][2][3]. Group 1: Technological Development - Recent advancements in artificial intelligence have improved language understanding and visual recognition, but robotic dexterity in physical manipulation remains limited compared to human capabilities [1]. - The design of robotic hands is still in a phase of parallel development with various configurations (2-finger, 3-finger, 4-finger, and 5-finger) and drive methods (cable-driven, direct-driven) lacking a unified technical standard [1][2]. - The ideal robotic hand should mimic human hand characteristics, including high degrees of freedom, precise force control, environmental adaptability, and rapid response [2]. Group 2: Design and Functionality - Human hands serve as a natural model for robotic hand design, with their structure optimized through evolution, providing a blueprint for achieving dexterity in robotic systems [2]. - The five-finger structure offers significant advantages in functionality compared to two or three-finger designs, particularly in tasks requiring fine manipulation and tool use [3][4]. - Cable-driven systems, which mimic human muscle-tendon control, are highlighted as a promising approach to enhance the performance of robotic hands by reducing weight and improving dynamic response [4][5]. Group 3: Core Challenges and Solutions - The key challenge in developing human-like robotic hands lies in replicating the 22 degrees of freedom found in human hands, necessitating a highly integrated drive system that can accommodate the non-linear mechanical properties of biological muscles [5]. - The integration of intelligent decision-making, efficient hardware, and multi-modal perception is essential for overcoming the limitations of current robotic systems in complex operational tasks [11][12]. - The "Dexterity" evaluation system proposed by the company emphasizes three core dimensions: physical dexterity index (IOD), perception index (IOS), and intelligence index (IOI) to assess the capabilities of robotic hands [13]. Group 4: Product Development and Market Position - The company has developed products like DexHand021 and DexHand021 Pro, which demonstrate significant advantages across the three core dimensions of dexterity, perception, and intelligence [14][21]. - The DexHand021 Pro features advanced sensing capabilities and real-time decision-making, enabling it to perform complex tasks with high precision [19][21]. - The introduction of a cost-effective three-finger robotic hand, DexHand021 S, aims to meet the needs of various applications while maintaining a balance between functionality and affordability [22]. Group 5: Industry Impact and Future Prospects - The company has established a comprehensive product matrix and is entering the commercialization phase, filling market gaps in high, medium, and low-end robotic hands [26]. - The strong technical foundation and experienced team behind the company have attracted significant attention from investors, indicating a promising future in the field of robotic dexterity and embodied intelligence [27][29]. - The company's focus on open-source software ecosystems and data collection systems positions it well to address industry challenges and enhance the efficiency of robotic operations [24][29].

展览时间：7月26日-29日 展览地点：上海世博展览馆 展位号：H3-B327 2025年7月26日，世界人工智能大会（WAIC）将在上海世博中心和世博展览馆盛大启幕。作为全球人工智能领域的顶级盛会，本届大会以"智能时代 同球 共济"为主题，将汇聚全球顶尖科技力量。浙江灵巧智能科技有限公司（以下简称"灵巧智能"）将携全系列创新产品亮相H3-B327展位，为观众带来一场 灵巧操作的视觉盛宴。 DexHand021量产版 灵巧智能的旗舰产品五指灵巧手DexHand021具有19个自由度的工业级量产五指三关节灵巧手， 内置23个传感器，可通过拍摄和穿戴设备实现单手玩魔 方、一手抓多物、使用 常用工具等功能，兼具可靠性、高集成、强兼容、易维护、低功耗、多模态等特点。该产品 采用腱绳弹性欠驱动技术，结合多模 态感知信息处理、运动规划控制及具身智能算法，可以 实现灵巧手对环境和操作对象的精准测量和精细感知，经专家鉴定，该项目创新性强、技术 难度 大，整体技术达到国际先进水平。目前该产品已经通过了所有必要的测试和验证，进入量产阶段。 灵巧智能（DexRobot）是一家以灵巧操作为核心科技能力的具身智能机器人企业，在2024 ...