惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

量子位
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
F
Fortinet All Blogs
博客园 - 聂微东
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Hugging Face - Blog
Hugging Face - Blog
V
Visual Studio Blog
小众软件
小众软件
有赞技术团队
有赞技术团队
雷峰网
雷峰网
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
AWS News Blog
AWS News Blog
C
Cisco Blogs
美团技术团队
T
Threat Research - Cisco Blogs
C
CERT Recently Published Vulnerability Notes
人人都是产品经理
人人都是产品经理
宝玉的分享
宝玉的分享
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
酷 壳 – CoolShell
酷 壳 – CoolShell
Stack Overflow Blog
Stack Overflow Blog
W
WeLiveSecurity
D
DataBreaches.Net
博客园 - 司徒正美
Blog — PlanetScale
Blog — PlanetScale
IT之家
IT之家
云风的 BLOG
云风的 BLOG
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Simon Willison's Weblog
Simon Willison's Weblog
Google DeepMind News
Google DeepMind News
T
The Blog of Author Tim Ferriss
Know Your Adversary
Know Your Adversary
NISL@THU
NISL@THU
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
The Cloudflare Blog
Vercel News
Vercel News
月光博客
月光博客
T
Tailwind CSS Blog
H
Help Net Security
aimingoo的专栏
aimingoo的专栏
P
Proofpoint News Feed
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Spread Privacy
Spread Privacy
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Cisco Talos Blog
Cisco Talos Blog
Microsoft Security Blog
Microsoft Security Blog
V
V2EX
WordPress大学
WordPress大学
Cyberwarzone
Cyberwarzone
Recent Announcements
Recent Announcements

NVIDIA Newsroom

Claude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in Azure Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron The Ultimate Summer Sale Pairing: Steam Sale Meets GeForce NOW Discounts NVIDIA and AWS Collaborate to Bring AI to Production at Scale How Businesses Are Building Specialized AI They Can Trust NVIDIA Announces BioNeMo Agent Toolkit — Tools for Agents to Accelerate Scientific Discovery NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations At ISC, JUPITER Shows What Exascale Science Looks Like NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins NVIDIA Vera Rubin Delivers World-Class Supercomputers for Science Europe Unveils a Record 35 New NVIDIA AI Supercomputers Hotter Than a Hot Tub: The 45°C Breakthrough to Cool AI’s Biggest Machines How FERC’s Large-Load Interconnection Actions Help Address Grid Stress, Improve Affordability At Cannes Lions, NVIDIA Partners Reshape Advertising and Marketing With AI Sync and Stream: GeForce NOW Connects to Members’ Game Libraries Across Devices France Advances Europe’s AI Future With NVIDIA Technologies Hands Free, AIs Forward: NVIDIA XR AI Brings Agents to AR Glasses Coherent Breaks Ground on Expanded Texas Facility, Scaling AI’s Optical Backbone HPE AI Factory With NVIDIA Expands for the Era of Agents Fastest, Largest, Strongest: NVIDIA Blackwell Sweeps MLPerf Training 6.0 NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark NVIDIA Stockholder Meeting Set for June 24; Individuals Can Participate Online Save Big and Play Bigger: GeForce NOW Summer Sale Brings Major Membership Savings For Robotaxis, Safety Must Be Built In, Not Bolted On NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI NVIDIA Confidential Computing to Help Expand Apple’s Private Cloud Compute How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies NVIDIA and LG Group Build an AI Factory to Advance Physical AI, Mobility and AI Infrastructure NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand NVIDIA, KRAFTON, NC and Reigning ‘League of Legends’ Champions T1 Celebrate RTX Spark at Korea’s PC Bangs Seoul Purpose: How NVIDIA and South Korea Are Building the Future of AI Forecast: Fun Ahead — 18 Games Join in June to Stream on GeForce NOW NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devices to Cloud to Local Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligence NVIDIA Jetson Brings Agentic AI to the Physical World NVIDIA AI Cloud Ecosystem Expands Worldwide to Meet Global AI Compute Demand NVIDIA Factory Operations Blueprint Gives Factories a New AI Brain Taiwan’s Industry Titans Turbocharge World’s AI Infrastructure Buildout With NVIDIA NVIDIA and TSMC Bring AI Into Fabs to Advance Semiconductor Design and Manufacturing NVIDIA, Foxconn and Taiwan Medical Centers Bring Agentic and Physical AI to ‘Healthy Taiwan’ NVIDIA Releases Major Collection of Open Source Agent Tools and Skills for Physical AI NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research NVIDIA DRIVE Hyperion Becomes the Global Platform for a Robotaxi-Ready World NVIDIA Launches Alpamayo 2 Super Open Reasoning Model for Robotaxis How Cosmos 3 Helps Physical AI Think Before It Acts NVIDIA Launches Cosmos 3, the Open Frontier Foundation Model for Physical AI NVIDIA DGX Station for Windows Puts a Trillion-Parameter AI Supercomputer on Every Enterprise Desk NVIDIA Levels Up Local AI Agents Across RTX PCs and DGX Spark NVIDIA and Microsoft Reinvent Windows PCs for the Age of Personal AI Enterprise Software Leaders Build AI Agents With NVIDIA NVIDIA Unveils Vera, the CPU for Agents NVIDIA Vera BlueField-4 STX Brings Agentic AI Storage Processing With In-Silicon Security NVIDIA Vera Rubin Ramps Into Full Production to Power Agentic AI Factories Worldwide NVIDIA DSX Gives Infrastructure Builders the Playbook for AI Factories NVIDIA Research Advances Robotics From Simulation to the Real World The Name’s Gaming … Cloud Gaming: ‘007 First Light’ Launches on GeForce NOW NVIDIA GTC Taipei at COMPUTEX: Live Updates on What’s Next in AI NVIDIA CEO Jensen Huang at Dell Technologies World: ‘Demand Is Going Parabolic, Utterly Parabolic’ Linked and Loaded: Gaijin Single Sign-On Now Available on GeForce NOW NVIDIA and ServiceNow Partner on New Autonomous AI Agents for Enterprises It’s Gonna Be May: 16 Games Hit the Cloud This Month, With More NVIDIA GeForce RTX 5080 Power NVIDIA Launches Nemotron 3 Nano Omni Model, Unifying Vision, Audio and Language for up to 9x More Efficient AI Agents Into the Omniverse: Manufacturing’s Simulation-First Era Has Arrived Tag, You’re It: GeForce NOW Levels Up Game Discovery With Xbox Game Pass and Ubisoft+ Labels Making Sense of the Early Universe From Rainforests to Recycling Plants: 5 Ways NVIDIA AI Is Protecting the Planet NVIDIA and Google Cloud Collaborate to Advance Agentic and Physical AI Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP No Need for Space Gear — Capcom’s ‘PRAGMATA’ Joins GeForce NOW on Launch Day Rethinking AI TCO: Why Cost per Token Is the Only Metric That Matters New Adobe Premiere Color Grading Mode Accelerated on NVIDIA GPUs Strength and Destiny Collide: ‘Samson: A Tyndalston Story’ Arrives in the Cloud National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI Press Start on April: GeForce NOW Brings 10 Games to the Cloud Efficiency at Scale: NVIDIA, Energy Leaders Accelerating Power‑Flexible AI Factories to Fortify the Grid Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era Game On: Five New Titles Now Streaming on GeForce NOW The Future of AI Is Open and Proprietary Blowing Off Steam: How Power-Flexible AI Factories Can Stabilize the Global Energy Grid Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community How Autonomous AI Agents Become Secure by Design With NVIDIA OpenShell NVIDIA's CEO Projects $1 Trillion in AI Chip Sales as New Computing Era Begins Nvidia CEO: We have the most energy efficient architecture in the world An Interview with Nvidia CEO Jensen Huang About Accelerated Computing NVIDIA GTC 2026: Live Updates on What’s Next in AI Smooth Moves: 90 Frames-Per-Second Virtual Reality Arrives on GeForce NOW From Simulation to Production: How to Build Robots With AI More Than Meets the Eye: NVIDIA RTX-Accelerated Computers Now Connect Directly to Apple Vision Pro
NVIDIA Announces Halos for Robotics, the Industry’s First Full-Stack Safety System for Physical AI
2026-06-22 · via NVIDIA Newsroom

News Summary:

  • NVIDIA Halos for Robotics is the industry’s only full-stack, open robotics safety system, extending NVIDIA Halos’ proven autonomous vehicle safety to robotics and physical AI to give machines that sense, decide and act in the real world a single common safety architecture.
  • Safety is built in every layer, with NVIDIA IGX Thor and Holoscan Sensor Bridge for AI compute and sensor connectivity, the Halos OS software stack for safety functions and applications, and the NVIDIA Halos AI Systems Inspection Lab to help partners prepare for third-party certification with confidence.
  • Humanoid robotics and physical AI innovator Agility is the first company to team with NVIDIA to incorporate elements of Halos for Robotics into its proprietary safety system, bringing a new standard of responsible automation to factories, warehouses and logistics operations.

NVIDIA today announced NVIDIA Halos for Robotics, the industry’s first full-stack, comprehensive safety system for robotics and physical AI that unifies AI compute and safety.

Agility, a leading humanoid robotics and physical AI company, is the first to use NVIDIA Halos for Robotics to build safety into its humanoids working in factories, warehouses and logistics operations for customers including Amazon, GXO, Schaeffler and Toyota Motor Manufacturing Canada.

The next generation of autonomous robots will operate in dynamic environments alongside humans, using AI foundation models, accelerated compute and distributed sensors. Scaling these systems requires a full-stack safety architecture.

NVIDIA Halos enables companies to rely on a standardized, unified safety architecture that connects AI compute, system software, sensor data, safety applications and inspection for robotic systems.

“Physical AI is transforming how factories, warehouses and logistics operations work, and robotics teams need a unified safety architecture to scale autonomous systems into these environments,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “With NVIDIA Halos for Robotics, developers and system builders can harness NVIDIA’s proven autonomous vehicle safety foundation to develop safer robots faster and bring them into industrial operations alongside workers with greater confidence.”

A Full-Stack Foundation for Robot Safety
Drawing on 18,600+ engineering years of autonomous vehicle safety development, NVIDIA Halos for Robotics provides developers with a common safety architecture for building, validating and deploying physical AI systems.

The system spans the key layers needed for robot safety:

  • NVIDIA IGX Thor™ and NVIDIA Holoscan Sensor Bridge provide industrial-grade AI compute, built-in safety and sensor connectivity for real-time robotics and safety workloads.
  • NVIDIA Halos OS provides the software stack for robotics safety, including Halos Core to support safety-related operating functions and safety applications built with the NVIDIA Halos Outside-In Safety Blueprint, which extends robot perception using external cameras and AI agents to dynamically control robot behavior in industrial settings.
  • The NVIDIA Halos AI Systems Inspection Lab is the world’s first ANSI National Accreditation Board (ANAB)-accredited program for functional and AI safety for physical AI, helping partners prepare Halos integrations for third-party certification by leading certification bodies including TÜV Rheinland, UL Solutions, TÜV SÜD, exida, SGS and CertX.

“As AI-enabled robotics moves into industrial environments, the industry needs standardized, internationally recognized frameworks to assess safety across increasingly complex systems,” said Laurie E. Locascio, president and CEO of ANSI. “ANAB’s accreditation of the NVIDIA Halos AI Systems Inspection Lab confirms the program has the competence and impartiality to evaluate robotic AI systems against recognized safety requirements, giving companies a rigorous and internationally recognized foundation for their path to certification.”

Agility Incorporates Halos for Industrial Humanoids
Humanoid robots are designed to operate in dynamic environments alongside workers, equipment and other robots that are constantly in motion. That requires safety engineered for every layer of the stack.

Agility is extending its leadership in humanoid safety by teaming with NVIDIA to integrate NVIDIA IGX Thor and Halos Core into its proprietary safe human detection system for its humanoid robot Digit, which is designed for industrial work in logistics, manufacturing and warehouse operations. For Digit, NVIDIA IGX Thor delivers industrial-grade AI compute with built-in safety capabilities, while Halos Core supports the software layer for safety-related operating functions.

Agility will also participate in the NVIDIA Halos AI Systems Inspection Lab. Together, Agility and NVIDIA will use the lab to ensure Digit’s safety-related software, AI components and cybersecurity protections meet rigorous standards such as IEC 61508, ISO 13849 and ISO/IEC TR 5469 before final third-party certification.

“For humanoids to deliver value at scale, safety has to be built into the robot and validated across the entire system,” said Peggy Johnson, CEO of Agility. “Partnering with NVIDIA to implement and optimize the Halos for Robotics system extends our leadership in responsible automation, which is a nonnegotiable requirement for bringing humanoids safely into industrial workflows. This collaboration unlocks true human-robot teamwork, driving the long-term returns that will power next-generation manufacturing and logistics operations.”

A Robotics Safety Ecosystem Built for Scale
The NVIDIA Halos for Robotics ecosystem brings together partners across software, systems, sensors and silicon, industrial applications and certification bodies to support safety from development through deployment:

  • Software: Acontis, FreeRTOS and QNX support the real-time operating environment, safety communications and embedded software layers needed for functional safety development.
  • Embedded systems: Advantech and NexCobot deliver safety-designed NVIDIA IGX-based systems for robotics deployments.
  • Sensors and silicon: Infineon, NXP Semiconductors, STMicroelectronics and Texas Instruments contribute sensor, safety microcontroller and other semiconductor technologies.
  • Industrial applications: FORT Robotics, Inventec, KION Group, Lyte AI and Neurealm are developing functional safety agents using the NVIDIA Halos Outside-In Safety Blueprint.
  • Assessment Agencies: TÜV Rheinland is inspecting NVIDIA IGX Thor, Halos OS and Holoscan Sensor Bridge for functional safety certification readiness, building on TÜV SÜD’s inspection of Thor SoC and Halos Core for ISO 26262.

The NVIDIA Halos AI Systems Inspection Lab includes more than 40 companies across manufacturers, certification bodies and safety vendors working to move safe physical AI systems from design to real-world deployment. TÜV Rheinland, TÜV SÜD, UL Solutions, exida, SGS and CertX all recognize the NVIDIA Halos AI Systems Inspection Lab as part of their certification process.

Availability
NVIDIA Halos Core for NVIDIA IGX™ is available in early access for registered developers in Linux and Linux plus QNX OS for Safety 8.0 configurations. The open source NVIDIA Halos Outside-In Safety Blueprint, part of the Halos Applications layer of Halos OS, is now available in early access on GitHub.

Learn more about NVIDIA Halos for Robotics in this technical blog and webpage

Featured image courtesy of Agility.