Sou Hu Cai Jing·2026-01-23 13:08Core Insights - Microsoft has officially launched Rho-alpha, its first VLA+ model specifically designed for robotics, which aims to convert natural language commands into precise robot control signals [2] - Rho-alpha integrates visual, language, and tactile perception, enhancing the capabilities of traditional VLA models and allowing robots to perform complex physical tasks in dynamic environments [2][4] Technology and Innovation - The core innovation of Rho-alpha lies in its multi-modal perception and real-time action generation capabilities, emphasizing tactile input alongside visual and language data [4][5] - Rho-alpha can adjust robot actions based on feedback from tactile sensors, improving reliability when handling fragile or flexible objects, a limitation of conventional VLA models [6][7] - The model translates natural language prompts directly into low-level control actions, enabling more natural and flexible task execution compared to traditional planning methods [8] Learning and Adaptation - Microsoft is researching mechanisms for continuous learning, allowing robots to adapt to different user habits and enhance user trust over time [9] - Rho-alpha combines real machine data, simulation, and large-scale visual question-answering data for training, addressing data scarcity issues in the robotics industry [11][12] Industry Context - The release of Rho-alpha signifies Microsoft's extension of its AI expertise into complex robotic systems, aligning with the broader trend of physical AI as a core direction for future artificial intelligence [10][11] - The entry of major tech companies into the robotics field is expected to accelerate the development of autonomous capabilities in robots, marking Microsoft's involvement as a potential starting point for industry advancements [14]