AI Coding Agents Can Autonomously Direct Robot Training, NVIDIA Demonstrates
Ars Technica AI16 hours agoPaperNVIDIA has introduced a self-improvement program for robots that delegates training direction to teams of AI coding agents rather than human engineers. The system enabled robots to learn precise physical tasks, including installing GPUs and cutting zip-ties. The approach signals that agentic AI paradigms developed for software are now being applied to embodied robotics training pipelines.
From Hugging Face Hub to Robot Hardware with Strands Agents and LeRobot
Hugging Face BlogyesterdayTutorialA Hugging Face blog post co-authored with Amazon demonstrates how to take AI models from the Hugging Face Hub all the way to running on physical robots. The integration combines Amazon's open-source Strands Agents agentic framework with Hugging Face's LeRobot robotics library to create an end-to-end pipeline. The result is a practical path for developers to deploy Hub-trained policies and models onto real robot hardware using agent-based orchestration.
Agents Finally Get a Body: Reflections and Practice Behind Jiuwen Symbiosis
量子位 QbitAI5 days agoCommentaryBased only on the title, the article appears to discuss Jiuwen Symbiosis as a project or framework aimed at making AI agents less abstract and more physically or operationally embodied. It likely focuses on the thinking and implementation choices behind that direction. No article body was provided, so specific capabilities, company details, technical architecture, benchmarks, or release claims cannot be verified.
BEV Enters Embodied AI: Robot Data Moves Toward the Scaling Fast Track
量子位 QbitAI6 days agoCommentaryThe article title suggests a discussion of bringing BEV, or bird’s-eye-view perception, into embodied intelligence. It appears to frame robot data as a scaling bottleneck and points to a cross-dimensional approach for accelerating data use. Because no body text is provided, the specific method, company claims, benchmarks, and product details cannot be verified.
World’s First Robot Training Property: 300,000 Chinese Homes for Robots
量子位 QbitAI10 days agoReleaseDaxiao Robot and CUHK MMLab introduced Kairos-Homeworld, an open project with 300,000 Chinese residential floor plans and 5,000 interactive 3D home scenes. It can generate full household environments from prompts, including layouts, furniture, objects, and physical properties. The article frames it alongside Kairos 3.0-4B as part of a broader embodied AI stack: world model, data, and environment.
Huawei Cloud Launches Agentic AI Products for Enterprise AI Infrastructure★ 72
量子位 QbitAI10 days agoReleaseHuawei Cloud announced an Agentic Infra framework at its INSPIRE event, covering token generation, persistent memory, unified scheduling, and secure autonomous runtime. The release includes AICS, AMS, CCE Volcano Next, AgentSphere, ModelArts Next, AgentArts, and the open-source openJiuwen project. It also introduced industry AI zones, CloudRobo for embodied AI, security offerings, and an ecosystem plan with major Chinese model vendors.
NVIDIA Cosmos 3: An Open Omni-model for Physical AI Reasoning and Action
Hugging Face Blog17 days agoReleaseHugging Face Blog announces NVIDIA Cosmos 3, described as the first open omni-model for Physical AI reasoning and action. The title indicates a focus on AI systems that interact with physical-world scenarios rather than only text generation. Because the article body was not provided, its architecture, supported modalities, license, downloadable assets, benchmarks, and deployment requirements cannot be verified from the available material.
3D-printable humanoid legs let robotics experiments run wild
Ars Technica AI23 days agoHardwareArs Technica reports that Hugging Face has introduced a roughly $2,500 bipedal humanoid robot project built around 3D-printable legs. The effort targets builders and researchers rather than mainstream consumers, lowering the hardware barrier for hands-on robotics experiments. Its broader significance is in open, reproducible embodied AI research, where models and control systems need physical platforms for testing.
NVIDIA 推出 Cosmos Reason 2：為具身智能與物理 AI 注入先進推理能力★ 85
Hugging Face Blog164 days agoReleaseNVIDIA and Hugging Face have jointly announced the launch of the new Cosmos Reason 2 model, marking a major breakthrough in the fields of Physical AI and…
NVIDIA 攜手 Hugging Face，透過 DGX Spark 與 Reachy Mini 賦予 AI 代理實體生命★ 80
Hugging Face Blog164 days agoReleaseThis article from the Hugging Face blog reveals the latest collaborative breakthrough between NVIDIA and Hugging Face in the fields of Embodied AI and physical…
結合 NVIDIA 與 Hugging Face：如何為 LeRobot SO-101 機械手臂後訓練 Isaac GR00T N1.5 模型★ 75
Hugging Face Blog372 days agoTutorialAs embodied AI develops rapidly, deploying powerful robotics foundation models onto specific hardware has become a key challenge. NVIDIA and Hugging Face have…
LeRobot 社群資料集：機器人領域的「ImageNet」何時到來？如何實現？★ 80
Hugging Face Blog403 days agoOpinionIn the history of artificial intelligence, the appearance of the ImageNet dataset in 2012 is widely recognized as the key catalyst that ignited the deep…
NVIDIA 於 GTC 2025 為實體 AI 開發者帶來重大發表：推出全新開源模型與資料集★ 85
Hugging Face Blog457 days agoReleaseAt NVIDIA GTC 2025, NVIDIA unveiled a remarkable set of new open-source models and datasets for the field of "Physical AI" — also known as embodied…
π0 與 π0-FAST：用於通用機器人控制的視覺-語言-動作（VLA）模型★ 85
Hugging Face Blog499 days agoReleasePhysical Intelligence, a Physical AI startup founded by robotics luminary Sergey Levine and others, has officially open-sourced its flagship robot foundation…
萬事通，局部精通：Hugging Face 發表多功能 Transformer 代理人 JAT★ 75
Hugging Face Blog787 days agoReleaseIn the field of artificial intelligence, developing a "Generalist Agent" — one capable of chatting, writing, controlling robots, and playing video games all at…
Pollen-Vision：為機器人打造的 Zero-Shot 視覺模型統一接口★ 75
Hugging Face Blog815 days agoNew ToolPollen Robotics has announced the launch of an open-source project called "Pollen-Vision," a unified vision interface designed specifically for robotics…