--- title: "NVIDIA announces humanoid robot development plan and autonomous vehicle technology" type: "News" locale: "zh-CN" url: "https://longbridge.com/zh-CN/news/271632977.md" description: "NVIDIA (NVDA) showcased its humanoid robot research and development plan and a new autonomous vehicle model \"Alpameyo\" at the 2026 International Consumer Electronics Show (CES). CEO Jensen Huang stated that NVIDIA's technology is being adopted by multiple companies and is expected to disrupt the $50 trillion manufacturing and logistics market. The newly released artificial intelligence model will assist robots in learning and interacting with their environment, while the Alpameyo model can recognize special road conditions and optimize autonomous driving technology" datetime: "2026-01-06T09:50:44.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/271632977.md) - [en](https://longbridge.com/en/news/271632977.md) - [zh-HK](https://longbridge.com/zh-HK/news/271632977.md) --- > 支持的语言: [English](https://longbridge.com/en/news/271632977.md) | [繁體中文](https://longbridge.com/zh-HK/news/271632977.md) # NVIDIA announces humanoid robot development plan and autonomous vehicle technology With the global technology industry launching a large-scale wave of humanoid robot research and development, NVIDIA (NVDA) showcased its latest technological breakthroughs in the robotics field at the 2026 International Consumer Electronics Show (CES). During the keynote speech held on Monday, NVIDIA CEO Jensen Huang revealed that numerous companies, from Boston Dynamics and Caterpillar (CAT) to LG Electronics and NEURA Robotics, are adopting NVIDIA's robotics technology to provide research and development support and computational power for their various robotic products. NVIDIA stated that **physical artificial intelligence technology is expected to disrupt the $50 trillion manufacturing and logistics market**, and the company aims to be a core driver of this industrial transformation. During the exhibition, NVIDIA released several new artificial intelligence models that can assist robots in learning how to interact with their surrounding environment; at the same time, NVIDIA also launched hardware products necessary for driving the robots' "digital brains." In addition to humanoid robot-related achievements, NVIDIA also introduced a new series of autonomous vehicle models named "Alpamayo." According to the company, the Alpamayo model adopts a visual-language-action (VLA) model architecture based on chain-of-thought reasoning technology. Although this technical concept may seem somewhat complex, its core function is that the model can recognize special road conditions that are rarely encountered in conventional driving scenarios and formulate reasonable response plans. For example, when a vehicle approaches an intersection, the model can identify the situation of a traffic signal malfunction, and after assessing the nature of the problem, further plan subsequent driving strategies. NVIDIA stated that the Alpamayo model is positioned as a **"large-scale teacher model,"** allowing developers to fine-tune and refine it, integrating it as a core module of a complete autonomous driving technology architecture. In other words, the core value of Alpamayo lies in helping developers continuously optimize technologies related to autonomous vehicles. NVIDIA revealed that companies and institutions such as Lucid Motors (LCID), Uber (UBER), and the Berkeley Deep Drive Research Center have expressed interest in collaborating on the Alpamayo model. Currently, autonomous vehicles are undergoing road testing in various locations around the world, with Waymo, a subsidiary of Google, leading the industry. However, this technology is still far from mature—some autonomous vehicles have caused traffic congestion, and in certain scenarios, they may exhibit judgment failures. NVIDIA believes that virtual simulation training technology is an effective solution for driving the continuous iteration of autonomous driving technology, allowing developers to train and optimize artificial intelligence models without needing to keep vehicles in a state of real-world testing ### 相关股票 - [NVIDIA (NVDA.US)](https://longbridge.com/zh-CN/quote/NVDA.US.md) - [GraniteShares 2x Long NVDA Daily ETF (NVDL.US)](https://longbridge.com/zh-CN/quote/NVDL.US.md) - [XL2CSOPNVDA (07788.HK)](https://longbridge.com/zh-CN/quote/07788.HK.md) - [XI2CSOPNVDA (07388.HK)](https://longbridge.com/zh-CN/quote/07388.HK.md) - [YieldMax NVDA Option Income Strategy ETF (NVDY.US)](https://longbridge.com/zh-CN/quote/NVDY.US.md) - [Direxion Daily NVDA Bear 1X ETF (NVDD.US)](https://longbridge.com/zh-CN/quote/NVDD.US.md) - [T-Rex 2X Long NVIDIA Daily Target ETF (NVDX.US)](https://longbridge.com/zh-CN/quote/NVDX.US.md) - [T-Rex 2X Inverse NVIDIA Daily Target ETF (NVDQ.US)](https://longbridge.com/zh-CN/quote/NVDQ.US.md) - [Direxion Semicon Bull 3X (SOXL.US)](https://longbridge.com/zh-CN/quote/SOXL.US.md) ## 相关资讯与研究 - [Fractile Seeks $200 Million as Nvidia Faces Inference Pressure](https://longbridge.com/zh-CN/news/281215985.md) - [Nvidia Stumbled in the First Quarter: Here are My Top 3 Nvidia Predictions for the Second Quarter](https://longbridge.com/zh-CN/news/281620093.md) - [Nvidia Stock (NVDA) Braces for a Quick Snapback after a Rare Two-Quarter Losing Streak](https://longbridge.com/zh-CN/news/281360100.md) - [Bye Bye, NVDA! 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