Sou Hu Cai Jing·2026-01-29 16:14Core Insights - Microsoft has launched its first robot-specific Rho-alpha model, which innovatively incorporates a tactile perception module alongside visual and language capabilities, marking a significant advancement in physical intelligence for robots [1][4][6] Group 1: Model Capabilities - Rho-alpha is designed to convert natural language instructions into control signals for robots, enabling them to perform complex tasks that require coordinated hand movements [4][6] - The model aims to break the limitations of robots operating only in highly controlled environments, allowing them to work in real-world scenarios filled with uncertainty [6][10] - Rho-alpha integrates tactile feedback into its decision-making process, allowing robots to adjust their actions based on physical contact, which is a significant departure from traditional models that primarily rely on visual information [7][8] Group 2: Training and Learning - The model employs a novel training approach that combines real robot demonstration data, simulation task data, and large-scale visual question-answering data, addressing the long-standing data scarcity issue in robotics [9] - Rho-alpha features strong continuous learning capabilities, enabling it to optimize its performance based on human feedback during actual operations [9] Group 3: Industry Implications - The introduction of Rho-alpha signifies a fundamental shift in the focus of humanoid robotics from hardware and control algorithms to foundational models as the new competitive core [10][12] - The industry is witnessing a competitive landscape where major players like Tesla, Google, and Microsoft are pursuing different technological routes, with Microsoft emphasizing a "foundation model + cloud + ecosystem" strategy [12] - As the robotics sector evolves, the ability to define the next generation of foundational models will be crucial for companies to secure their future in the market [12]