AI Coding Agents Can Autonomously Direct Robot Training, NVIDIA Demonstrates
Ars Technica AI15 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.
MolmoMotion: Language-Guided 3D Motion Forecasting
Hugging Face Blog19 hours agoPaperAllen Institute for AI has released MolmoMotion, a new model that adds language-guided 3D motion forecasting to the open-source Molmo family. By conditioning spatial trajectory predictions on natural language, the system enables more flexible, human-interpretable motion anticipation. The work targets applications in robotics, video understanding, and embodied AI where predicting movement in 3D space is safety-critical or operationally essential.
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.
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.
NVIDIA and LG Group Build AI Factory for Physical AI, Mobility and Infrastructure★ 72
Hacker News (AI keywords)10 days agoHardwareNVIDIA and LG Group announced an AI factory collaboration spanning robotics, autonomous driving, data center technologies and GPU cloud services. The effort connects NVIDIA Isaac, Cosmos, DRIVE, DSX, Blackwell GPUs, NeMo and TensorRT-LLM with LG’s manufacturing, robotics, mobility and infrastructure businesses. The partnership also supports LG’s EXAONE sovereign AI model work and broader enterprise AI adoption across the group.
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.
NVIDIA and LG Group Build an AI Factory for Physical AI, Mobility and AI Infrastructure★ 74
NVIDIA Blog10 days agoHardwareNVIDIA and LG Group are collaborating on an AI factory to support LG’s AI-driven businesses across robotics, autonomous driving, data center technologies and GPU cloud services. The effort connects NVIDIA’s AI factory platform with LG’s manufacturing, mobility, robotics and infrastructure capabilities. It also covers Isaac, Cosmos, DRIVE, DSX and EXAONE-related work using Blackwell GPUs, NeMo, Nemotron datasets and TensorRT-LLM.
NVIDIA and Doosan Group Collaborate on Physical AI and AI Factory Infrastructure
NVIDIA Blog11 days agoBusinessNVIDIA and Doosan Group are expanding their partnership across physical AI, robotics and AI factory infrastructure. The collaboration connects NVIDIA’s accelerated computing stack, DSX, MGX and physical AI tools with Doosan’s industrial automation, power generation and electronics materials capabilities. Key areas include smarter industrial robots, autonomous equipment, AI data center power systems and advanced PCB materials for high-performance servers and networking.
NXP Computex 2026 Keynote: Neural Axis for Physical AI Hardware
INSIDE 硬塞 AI15 days agoHardwareAt Computex 2026, NXP focused on Physical AI and introduced its Neural Axis architecture for edge devices. The architecture emphasizes low latency, high security, and hardware-based trust for real-time responses. The article frames this as important for robotics, autonomous vehicles, and other physical-world AI deployments where safe operation is essential.
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.
Reachy Mini goes fully local
Hugging Face Blog22 days agoHardwareHugging Face published a tutorial for running Reachy Mini conversations without cloud audio processing or API keys. The setup uses its speech-to-speech library as a cascaded VAD, STT, LLM, and TTS pipeline exposed through a Realtime API-compatible WebSocket. Recommended defaults include llama.cpp with Gemma 4, Silero VAD, Parakeet-TDT, and Qwen3-TTS, while allowing swaps to vLLM, MLX, Transformers, or hosted Responses API providers.
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.
網路瘋傳！Figure AI 推出人形機器人 24 小時搬包裹直播，引發社群熱烈關注
Ars Technica AI29 days agoReleaseHumanoid robot startup Figure AI recently launched a highly buzzworthy technology showcase: a 24-hour uninterrupted live stream depicting its latest humanoid…
烏克蘭無人機創辦人 Yaroslav Azhnyuk 談自主無人機技術棧與無人機經濟學：西方國家正處於昏睡狀態
Latent Space31 days agoCommentaryIn this episode of the Latent Space podcast, the hosts and guest host Noah Smith (author of the well-known economics and technology blog Noahpinion)…
Import AI 451：政治超智慧、Google 的心智社會，以及機器人鼓手★ 75
Import AI (Jack Clark)80 days agoCommentaryIn this issue of Import AI 451, author Jack Clark opens with a thought-provoking question: "Is there any technological genie that has been released that can be…
D4RT：讓 AI 學會用四維視角觀察世界，動態 4D 重建與追蹤速度提升高達 300 倍★ 80
Google DeepMind Blog153 days agoReleaseGoogle DeepMind has published a new technology called D4RT, designed to enable artificial intelligence to understand and reconstruct the dynamic world we live…
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…
在 Replicate 上運行 Isaac 0.1：專為真實世界感知設計的輕量級具身視覺語言模型
Replicate Blog204 days agoReleaseThe cloud AI model deployment and hosting platform Replicate has officially announced support for running the new lightweight vision-language model (VLM) —…
如何使用 NVIDIA Isaac 醫療平台打造醫療機器人：從模擬到部署的完整指南★ 70
Hugging Face Blog233 days agoTutorialAs healthcare demands increase and medical staffing shortages worsen, the development of medical robots — such as robots for ward supply delivery, assisted…
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…
使用影片編碼擴展機器人技術數據集：Hugging Face 的高效壓縮與讀取指南★ 70
Hugging Face Blog660 days agoTutorial### Background and Challenges In robotics (such as Embodied AI), imitation learning and reinforcement learning require collecting large volumes of robot…
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…