当机器人学会开可乐：深聊灵巧手的“不可能三角”与六大技术门派

Core Insights - The challenge of teaching robots to perform tasks like opening a soda bottle is significantly more difficult than teaching them to do a backflip, with the difficulty being tenfold [1] - The "impossible triangle" of performance, cost, and reliability has been a long-standing issue in the industry [1] - The evolution of dexterous hands over the past forty years involves six major technological schools, each with its own history and conflicts [1] - In the AI era, large models are expected to enhance VLA control and Sim2Real simulation, accelerating the transition from laboratory to real-world applications [1] Industry Developments - A visit to a Silicon Valley team demonstrated high-difficulty operations such as screwing, opening soda bottles, and handling iPhones [1] - AI large models are injecting "intelligent brains" into dexterous hands, potentially disrupting traditional hardware monopolies through open-source ecosystems [1] - The future of robotics in households is being questioned, particularly regarding the initial scenarios where dexterous hands will become prevalent [1] - This technological revolution may redefine the rules of human-robot collaboration [1]