英伟达自动驾驶新模型来了

Core Viewpoint - Nvidia is showcasing significant advancements in humanoid robotics and a new autonomous vehicle model series named Alpamayo at CES 2026, aiming to revolutionize the $50 trillion manufacturing and logistics industries with physical AI [1]. Group 1: Humanoid Robotics - Numerous companies, including Boston Dynamics, Caterpillar, LG Electronics, and NEURA Robotics, are utilizing Nvidia's robotics technology to develop and operate various robots [1]. - Nvidia has introduced a series of new AI models to assist in training robots to interact with their environment and provide the necessary hardware for their digital brains [1]. Group 2: Autonomous Vehicle Model - Alpamayo - The Alpamayo series features a visual-language-action (VLA) model based on reasoning chains, designed to accelerate the development of safe, reasoning-based autonomous vehicles [2]. - This model can identify unique driving situations that may not typically occur during normal driving, such as detecting traffic signal malfunctions at intersections and determining appropriate actions [2][6]. - The first vehicle equipped with Nvidia's technology is expected to be on the road in the U.S. in the first quarter [2]. Group 3: Reasoning Capabilities and Safety - Traditional autonomous driving architectures separate perception and planning, limiting scalability in new or unusual situations; the Alpamayo series introduces reasoning-based VLA models to enhance decision-making in complex scenarios [6]. - These systems can think through novel or rare situations, improving driving capabilities and interpretability, which is crucial for building trust and safety in intelligent vehicles [6][8]. Group 4: Industry Support and Open Source Initiative - Companies such as Lucid, Jaguar Land Rover, Uber, and Berkeley DeepDrive have expressed interest in developing reasoning-based autonomous driving stacks using Alpamayo [10]. - The transition to physical AI highlights the growing demand for AI systems that can reason about real-world behaviors, not just process data [10]. - Nvidia's decision to open-source the Alpamayo model is seen as a significant step in accelerating innovation within the autonomous driving ecosystem, providing developers and researchers with new tools to address complex real-world scenarios [10].