一个瓶盖在机械手指间被旋转、拧开，整个过程流畅得仿佛人手。但驱动这套动作的眼睛只是一个 普通 摄像头，皮肤是成本不到 250 美元的 触觉 传感器。 长久以来，机器人专家深信不疑：要复现人手无与伦比的灵巧性，必须配备与之匹配的、同样精密的感知系统 ， 如 高分辨率视觉、能绘制精细力场分布图的触觉 传感器 。 然而， 来自浙江大学等机构研究团队发表在 《 Science Robotics 》的最新研究 《 Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity》 ， 以其彻底的降维方式给出颠覆性的答案。 研究团队证明，仅依靠单目 RGB 摄像头和提供二值触觉信号的简易 触觉 传感器， 机器人手就能在拧瓶盖、转水龙头、滑动杠杆等复杂任务中达到约 85% 的成 功率，并能举一反三，完成削铅笔等未训练任务。 更令人惊讶的是，这套感官系统的总成本仅约 250 美元。 怎么实现的？一套逻辑 ：灵巧的关键或许不在于感官的高保真，而在于大脑如何理解 并 融合 " 感 知 " 与 "控制" 。 ▍ ...

Group 1: Event Overview - The "2025 Inclusion·Bund Conference" was held from September 10 to 13 at the Shanghai Huangpu Expo Park, showcasing over 100 robots with various skills such as "egg shell carving" and disaster rescue [1] Group 2: Company Highlights - Lingxin Qiaoshou, a Beijing-based robotics company, showcased two robots that performed the conference theme song and AI music, highlighting their technological capabilities [2] - The company offers four types of dexterous hand products priced between 8,800 yuan and 99,999 yuan, with a new lower-cost model priced at 6,000 yuan, significantly cheaper than foreign counterparts [2] - Lingxin Qiaoshou's products are designed for various applications, including industrial and research fields, with major clients being leading industrial giants and humanoid robot companies [2] Group 3: Technological Innovations - The "Welcoming Robot" from Songyan Power, which won gold medals in gymnastics and long jump at the World Humanoid Robot Games, features over 30 degrees of freedom for facial expression control and voice interaction [4][5] - The robots demonstrated advanced capabilities in industrial inspection and emergency rescue scenarios, showcasing their potential as "super teammates" for rescue teams [6][7] Group 4: Competition and Performance - The robot skills competition featured various challenges, including navigating rugged terrain and performing precise industrial tasks, with robots displaying impressive movement control and environmental awareness [6][8] - The performance of the robots in high-risk scenarios, such as mining and explosive tasks, highlighted their ability to adapt and perform under challenging conditions [8]