Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Ouster Brings Support for REV8 Digital Lidar to Robotics and Edge AI Ecosystem
Ouster has announced the integration of its Rev8 OS digital lidar technology with the NVIDIA Jetson platform, enhancing the capabilities of the NVIDIA Robotics ecosystem. This development, which aims to introduce native color lidar sensing, is set to advance the field of Physical AI. By leveraging the powerful processing capabilities of the Jetson platform, Ouster's technology will enable more sophisticated and responsive robotic applications. This integration marks a significant step forward in the evolution of robotics, allowing for improved perception and interaction with the physical world. The collaboration is expected to drive innovation and expand the potential uses of lidar in various industries, including autonomous vehicles and smart infrastructure.
FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference
FORT Robotics has joined the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous robots. The company will showcase its agentic safety application, developed using the Nvidia Halos Outside-In Safety Blueprint, at the Automate conference in Chicago. This innovative solution utilizes external infrastructure sensors and visual AI agents to provide real-time, safety-certifiable functional safety, significantly improving operational efficiency in dynamic environments. The collaboration is significant as it addresses the limitations of traditional inside-out functional safety systems, which rely solely on onboard sensors. By integrating Nvidia's IGX Thor and Holoscan Sensor Bridge, FORT's solution allows robots to operate safely alongside human workers in high-efficiency modes. This adaptability is crucial for modern warehouses and factories, where environments are constantly changing, and safety frameworks must evolve to protect workers effectively. Looking ahead, FORT's integration with Nvidia Halos is expected to provide substantial value to customers in warehousing, manufacturing, and other automated sectors. The Outside-In Safety framework aims to prevent safety incidents in mixed human-robot environments, optimizing processes like inventory replenishment and product assembly. No further timeline was disclosed at the time of publication.
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NVIDIA's Halos for Robotics: A New Era for Industrial Robot Safety
Recent advancements in industrial robotics have marked a significant milestone in the integration of physical artificial intelligence. Over the past few years, the field has experienced unprecedented growth, with AI evolving beyond mere data analysis and text generation. Now, machines equipped with this technology can perceive their surroundings, make real-time decisions, and interact directly with their environment. This transformation is highlighted in a recent article discussing NVIDIA's Halos for Robotics, which emphasizes the new era of safety in industrial robots. The developments signal a shift in how robots operate, enhancing their capabilities and effectiveness in various industrial applications.
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NVIDIA Halos for Robotics: A New Era for Industrial Robot Safety
Recent advancements in industrial robotics have marked a significant milestone in the integration of physical artificial intelligence. Over the past few years, the field has experienced unprecedented growth, evolving beyond mere data analysis and text generation. Now, AI technology is enabling machines to perceive their surroundings, make real-time decisions, and interact directly with their environment. This evolution is exemplified by NVIDIA's latest innovations, which are set to enhance the safety and functionality of industrial robots. As these developments unfold, the landscape of robotics is transforming, paving the way for smarter and more autonomous machines in various industries.
À la une IA Industrie Robotique automatisation industrielle. cobot industriel
Robot.com Launches R-noid, a Humanoid Built For the Work That Burns People Out. No Legs, All Lift to the Bottom Line.
Robot.com has officially launched R-noid™, a humanoid robot designed to alleviate labor shortages in repetitive and hard-to-fill jobs across various industries. Announced on June 22, 2026, in San Francisco, this innovative solution aims to address chronic staffing issues in sectors such as quick-service restaurants, logistics, healthcare, and hospitality, where turnover rates are alarmingly high. R-noid operates under a Robot-as-a-Service (RaaS) model, allowing for deployment from initial site visits to full autonomous operation within eight to twelve weeks. The robot can perform 19 different tasks, including roles such as restaurant assistant, packer, and picker, and will be showcased at Automate 2026 in Chicago from June 22-25. The motivation behind R-noid's development stems from the pressing need to enhance customer experience by filling critical staffing gaps that often disrupt service. CEO Felipe Chavez Cortes emphasized that the goal is to free human workers from monotonous tasks, enabling them to focus on more meaningful aspects of their jobs. R-noid's design features advanced mobility and dexterity, equipped with dual 7-degree-of-freedom arms and a holonomic base for maneuverability in tight spaces. Collaborating with various partners, including NVIDIA Robotics and Yukai Engineering, the robot incorporates an expressive interaction system to foster trust and engagement with users. This launch marks a significant step in Robot.com's mission to integrate humanoid solutions into its existing fleet, enhancing operational efficiency across multiple sectors.
NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications
The field of embodied intelligence is witnessing a fierce debate over the best approach to training robots for industrial applications. One faction advocates for simulation-based training, leveraging structured environments to generate synthetic data, while the opposing view emphasizes the necessity of real-world data to handle complex physical interactions and unpredictable scenarios. Key players include NVIDIA, DeepMind, and Intrinsic, each with unique strategies and technologies. NVIDIA's Omniverse platform and Isaac Sim engine exemplify the simulation approach, enabling comprehensive digital twins of factories for training and optimization. Their collaboration with BMW on a digital twin project in Hungary showcases the potential of synthetic data in logistics and robotic movements. However, challenges remain in achieving the necessary fidelity for force control and physical interactions, prompting NVIDIA to seek partnerships with companies like Hexagon Robotics. Conversely, DeepMind's use of the MuJoCo physics engine has demonstrated that pure simulation can achieve industrial-grade precision in specific tasks, such as sorting with known rigid models. Yet, this method's effectiveness is limited to scenarios with minimal contact and force control. Intrinsic aims to transform simulation into a comprehensive development tool for industrial robots, focusing on lowering barriers for small manufacturers. The ongoing challenge of the SIM2REAL gap remains a critical factor in the success of these approaches.
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German robotics firm Neura Robotics secures $1.4 billion in funding with support from Amazon and Nvidia.
On June 10, Neura Robotics, a German robotics company, announced the successful completion of a record-breaking Series C funding round, which could reach up to $1.4 billion. This significant investment aims to accelerate the development of a leading global platform in physical artificial intelligence. The funding round received backing from notable investors, including Amazon, NVIDIA, and the European Investment Bank, highlighting strong confidence in the company's vision and potential in the robotics sector.
Richtech Robotics Introduces 24/7 Livestream with AI Robot ADAM for Global Interaction
Richtech Robotics, based in Nevada, has launched a 24/7 interactive livestream featuring its AI humanoid robot, ADAM. This initiative allows global audiences to engage with ADAM in real-time, asking questions and observing the robot's responses. The platform utilizes Nvidia Jetson Thor for onboard computing and the Nvidia Isaac open robotics platform, showcasing the capabilities of embodied AI. This livestream initiative is significant as it represents a shift in human-robot interaction, moving beyond traditional pre-recorded content to a dynamic, user-controlled experience. Richtech Robotics aims to demonstrate how AI-powered robots can effectively communicate in real-world settings, enhancing user engagement and showcasing their broader portfolio of automation solutions across various industries, including hospitality and manufacturing. Looking ahead, Richtech Robotics is positioned to lead advancements in intelligent automation and robotics. The company plans to continue evolving the interaction between humans and robots, with no further timeline disclosed for additional features or expansions of the ADAM livestream platform at the time of publication.
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Nvidia unveils open humanoid robot platform for robotics research
Nvidia has introduced the Nvidia Isaac GR00T Reference Humanoid Robot, an innovative open platform aimed at advancing research and development in physical artificial intelligence and general-purpose robotics. The announcement was made during the Nvidia GTC event in Taipei. This new platform integrates several cutting-edge technologies, including the Unitree H2 Plus humanoid robot, Sharpa Wave tactile five-finger hands, and the Nvidia Jetson Thor onboard computing system. The initiative is part of Nvidia's broader strategy to enhance capabilities in robotics, providing researchers and developers with a versatile tool to explore and innovate in the field of robotics and AI.
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Nebius and Nvidia launch Physical AI Living Lab for European robotics startups
Nebius, a prominent AI cloud company, has launched the Physical AI Living Lab, a six-month initiative aimed at supporting robotics startups across Britain and Europe. This program provides participants with access to Nvidia’s advanced physical AI development tools alongside Nebius’s robust AI cloud infrastructure. The initiative addresses a significant challenge faced by early-stage robotics companies, which often lack the resources to create large-scale simulations, generate synthetic data, and utilize accelerated computing necessary for their development. By offering these essential tools and support, Nebius aims to foster innovation and growth within the robotics sector, ultimately enhancing the capabilities of emerging technologies in the field.
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Inside Verobotics’ edge AI robotics deployment at NVIDIA’s Israel campus
Verobotics has announced the deployment of its advanced robotic technology at NVIDIA’s Israel campus, transforming vertical surfaces that were previously considered hazardous and difficult to access into safe, data-rich robotic workspaces. This innovative solution aims to enhance operational efficiency and safety by allowing for repeatable access to these challenging areas. The integration of edge AI into the robotic systems enables real-time data collection and analysis, facilitating improved decision-making processes. This development marks a significant step forward in the application of robotics in environments that require high levels of precision and safety.
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NVIDIA and Hugging Face Enhance LeRobot with New AI Models and Frameworks
NVIDIA has expanded its collaboration with Hugging Face to enhance the LeRobot open-source robotics platform with new AI models and frameworks. This integration includes the NVIDIA Isaac GR00T 1.7 vision-language-action model and the Isaac Teleop framework, aimed at streamlining robot development. The partnership seeks to make advanced robotics tools more accessible to developers and researchers, with plans to incorporate NVIDIA Cosmos 3 in the future. This collaboration is significant as it addresses the fragmented nature of robotics development by providing standardized workflows for data collection, model training, and robot deployment. The introduction of the Isaac Teleop framework allows for high-quality training data collection through human demonstrations, which can be shared within the LeRobot ecosystem. By lowering barriers to entry, NVIDIA and Hugging Face aim to foster broader collaboration in the robotics community. Looking ahead, NVIDIA plans to integrate the Cosmos 3 model into LeRobot, which will generate synthetic robotics data and assist in policy development. The collaboration builds on existing resources, including a dataset with over 350,000 robot trajectories and 57 million grasp examples. No further timeline was disclosed at the time of publication.
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NVIDIA and Hugging Face integrate AI model "GR00T 1.7" into open-source robot development platform "LeRobot."
NVIDIA and Hugging Face have announced the integration of their cutting-edge technologies aimed at enhancing humanoid robots. The collaboration will see the incorporation of NVIDIA's visual language action (VLA) model, known as NVIDIA Isaac GR00T 1.7, along with the remote operation framework, NVIDIA Isaac Teleop, into Hugging Face's open-source robot development library, LeRobot. This initiative is set to advance the capabilities of humanoid robots, enabling more sophisticated interactions and functionalities. The announcement highlights a significant step in the ongoing evolution of robotics, reflecting both companies' commitment to fostering innovation in the field.
NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
New LeRobot integrations give developers open access to NVIDIA Isaac GR00T 1.7, Isaac Teleop, datasets and robotics workflows, with NVIDIA Cosmos 3 integration planned to bring frontier world models to open robotics development.
Weeks after Huang visit, Nvidia expands Korea hiring into robotics, HPC
Nvidia is expanding its engineering presence in South Korea, nearly a month after CEO Jensen Huang announced the company's plans to establish a research and development center in the country. Recent job postings on Nvidia's official careers website indicate a focus on key areas such as robotics simulation, high-performance computing, and automotive software, which are closely linked to South Korea's manufacturing, semiconductor, and automotive industries. This strategic move aims to strengthen Nvidia's involvement in these critical sectors, reflecting the company's commitment to innovation and collaboration within the region. The latest job listings, discovered by the Korea Herald, highlight Nvidia's intent to tap into local expertise and resources as it seeks to enhance its technological capabilities in Korea.
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NVIDIA expands robotics hiring in China, opens roles in Beijing, Shanghai, and Shenzhen
NVIDIA, the prominent US chipmaker, has launched an extensive recruitment campaign aimed at expanding its robotics team. The company is seeking talent in four key areas: embodied AI, simulation, deployment, and solution architecture. Job openings are available in major Chinese cities, including Beijing, Shanghai, and Shenzhen. This initiative reflects NVIDIA's commitment to advancing technologies related to embodied AI, with a focus on applications such as dexterous manipulation and human body modeling. The recruitment drive underscores the company's strategy to enhance its capabilities in robotics and artificial intelligence, responding to the growing demand for innovative solutions in these fields.
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Nvidia to boost its China robotics team amid emergence of physical AI
Nvidia, the prominent US chip manufacturer, is intensifying its recruitment efforts for its robotics team in China, a crucial market that dominates global shipments. On Monday, the Silicon Valley-based company announced via its official WeChat account that it is seeking to fill over a dozen positions in major cities including Beijing, Shanghai, and Shenzhen. The available roles cover four essential areas: embodied intelligence, simulation, implementation, and solutions. Nvidia aims to establish a leading robotics platform, reflecting its commitment to expanding its influence in the rapidly growing robotics sector in China.
Nvidia (NVDA) Remains a Key Humanoid Robotics Play, Bernstein Says
On June 29, 2026, Bernstein reaffirmed its "Outperform" rating for Nvidia Corporation (NASDAQ: NVDA), emphasizing the company's pivotal role in the humanoid robotics sector. The investment firm noted that Nvidia, alongside Qualcomm, is leading the development of advanced processors that serve as the central processing units for robotics. These processors enable robots to efficiently process sensor data, reason, plan, and execute actions. While Bernstein recognizes Nvidia's potential as an investment, it suggests that other AI stocks may present greater upside with less risk. The analysis comes amid a broader discussion on the evolving landscape of AI-driven solutions, with Nvidia's offerings spanning data centers, self-driving vehicles, and cloud services.
NVIDIA, Amazon, and Qualcomm Invest $1.4 Billion in NEURA Robotics
NEURA Robotics, a German company specializing in cognitive robotics, has successfully raised $1.4 billion in a Series C funding round, attracting investments from major players such as NVIDIA, Amazon, and Qualcomm. This substantial financial backing underscores a strategic pivot towards developing infrastructure that enables robots to learn and adapt in real-world settings, moving beyond the traditional emphasis on improving humanoid aesthetics. The funding will likely accelerate NEURA's efforts to innovate in the robotics sector, positioning the company at the forefront of technological advancements in automation and intelligent systems.
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NVIDIA releases Halos, a full-stack safety system for robotics
NVIDIA has launched Halos, a comprehensive safety system designed for robotic applications. This innovative platform integrates artificial intelligence computing, system software, sensor data, and safety applications to enhance the functionality and reliability of robotic systems. The release of Halos aims to address the growing demand for advanced safety measures in robotics, ensuring that these systems can operate effectively and securely in various environments. By streamlining the connection between essential components, NVIDIA seeks to improve the overall performance and safety of robotic technologies.
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NVIDIA Announces Halos for Robotics, the Industry’s First Full-Stack Safety System for Physical AI
NVIDIA has unveiled NVIDIA Halos for Robotics, marking a significant advancement as the first comprehensive safety system designed specifically for robotics and physical AI. This innovative system integrates AI computing capabilities with safety measures, aiming to enhance the operational reliability of robotic systems. The announcement was made today, reflecting NVIDIA's commitment to advancing technology in the robotics sector. By providing a unified solution, NVIDIA Halos seeks to address the growing need for safe and efficient robotic applications across various industries. This development is expected to facilitate the deployment of robotics in environments that require stringent safety protocols, thereby expanding the potential for AI-driven automation.
LG executives to meet Nvidia officials in US for AI, robotics talks
Senior executives from LG Group are set to visit Nvidia's headquarters in Santa Clara, California, this Monday to engage in discussions focused on physical AI and robotics. This meeting follows a recent encounter between LG Chairman Koo Kwang-mo and Nvidia CEO Jensen Huang. The delegation will feature key figures from LG's major affiliates, including LG CNS CEO Hyun Shin-gyoon and LG Sciencepark President Chung S. The talks aim to strengthen collaboration between the two companies in the rapidly evolving fields of artificial intelligence and robotics, reflecting LG's commitment to advancing its technological capabilities.
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Kawasaki Heavy Industries opens Physical AI Center in San Jose, California, with a congratulatory message from NVIDIA's Jensen Huang.
Kawasaki Heavy Industries, Ltd. announced the opening of its Kawasaki Physical AI Center, scheduled for June 15, 2026. To mark this occasion, the company released a video message from NVIDIA's CEO, Jensen Huang, on YouTube. The establishment of the center aims to enhance research and development in artificial intelligence and robotics, reflecting Kawasaki's commitment to innovation in these fields. The collaboration with NVIDIA underscores the importance of integrating advanced AI technologies into Kawasaki's operations, positioning the company at the forefront of technological advancements in the industry.
NVIDIA Corporation (NVDA) Partners with Nebius to Support AI Robotics Startup in Europe
NVIDIA Corporation has announced a strategic partnership with Nebius to bolster the development of robotics startups across Europe. On June 9, the two companies reaffirmed their collaboration aimed at creating a cloud platform specifically for robotics and physical artificial intelligence. As part of this initiative, Nebius has launched the Physical AI Living Lab, which will provide UK and European robotics startups with access to NVIDIA's advanced development tools and Nebius AI's cloud infrastructure. This six-month program is designed to help early-stage robotics firms overcome challenges related to large-scale simulation, synthetic data, and accelerated computing resources. Startups participating in the program will utilize NVIDIA technologies, including OSMO for workload orchestration and Cosmos World Foundation models. The goal of the Physical AI Living Lab is to connect UK robotics innovation with market-ready physical AI solutions by offering affordable cloud-scale training. NVIDIA, a leading provider of specialized computer chips and a key player in the global AI revolution, continues to expand its influence beyond gaming graphics into comprehensive infrastructure for artificial intelligence.
Teleexistence reveals humanoid's success in autonomous convenience store bagging using VLA and NVIDIA's "DreamZero."
On June 10, 2026, Teleexistence showcased a demonstration of autonomous operations using humanoid robots as part of the "Physical AI Fellowship 2026," a collaborative initiative supported by AWS, NVIDIA, and MassRobotics. The event highlighted the integration of NVIDIA's World Model, "DreamZero," showcasing advancements in robotic technology and artificial intelligence. This demonstration aims to illustrate the potential of physical AI in enhancing robotic capabilities and fostering innovation in the field.
Nvidia Announces Partnerships with Doosan, LG Focused on Physical AI, Robotics
Nvidia is enhancing its presence in South Korea by forming strategic partnerships with Doosan Group and LG Group. This initiative aims to advance the development of industrial robots, autonomous equipment, robotics training data, and AI-powered manufacturing systems. The collaborations, announced recently, seek to transcend conventional factory automation by emphasizing the creation of software, simulation, and other innovative technologies. These efforts reflect Nvidia's commitment to driving AI integration in manufacturing processes, positioning the company as a key player in the rapidly evolving industrial landscape of South Korea.
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NVIDIA's Cosmos Ecosystem: A Paradigm Shift in Physical AI and Robotics
NVIDIA has unveiled its latest innovation, Cosmos 3, which represents a major leap forward in physical AI technology. This new system redefines computational infrastructure's role in the fields of robotics and autonomous driving. By utilizing a hybrid Transformer architecture, Cosmos 3 enhances capabilities in world modeling and action generation, effectively tackling issues related to data gaps and simulation accuracy. This advancement positions NVIDIA as a pivotal force in shaping the future of robotics, underscoring its commitment to driving innovation in this rapidly evolving sector.
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Nvidia CEO Jensen Huang embarks on packed Seoul visit focused on AI, robotics
Nvidia founder and CEO Jensen Huang will arrive in Seoul on Friday afternoon for a four-day visit aimed at strengthening collaborations with South Korea's technology, manufacturing, and artificial intelligence sectors. This marks Huang's longest stay in the country in recent years and follows his previous trip seven months ago for the APEC summit. The visit comes as Nvidia seeks to broaden its partnerships beyond semiconductors, exploring opportunities in emerging fields such as robotics, physical AI, and AI infrastructure.
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A Chinese robotics start-up beat Nvidia on a global AI ranking. Is a new tech war brewing?
As artificial intelligence transitions from digital applications to real-world implementations, the competition between China and the United States intensifies over the development of advanced robotic technologies. This rivalry escalated following the recent launch of Nvidia's Cosmos 3 model, which aims to enhance the cognitive capabilities of physical AI by enabling it to "think before it acts." Just two days later, on Wednesday, the Chinese start-up Spirit AI, based in Hangzhou, Zhejiang province, captured attention by unveiling its own foundation model for embodied AI. This development highlights the growing urgency among tech companies to innovate in the field of robotics, as both nations strive to establish dominance in this critical area of technology.
NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI
At the Computer Vision and Pattern Recognition (CVPR) conference, NVIDIA is showcasing innovative physical AI agent skills aimed at accelerating the development of autonomous vehicles, robotics, and vision AI systems. This unveiling comes as researchers and developers face significant challenges in advancing physical AI, particularly in creating more capable and efficient systems. By introducing these new skills, NVIDIA seeks to enhance the capabilities of AI agents, ultimately facilitating faster progress in the field. The event highlights NVIDIA's commitment to driving advancements in AI technology, which is crucial for the future of autonomous systems.
NVIDIA unveils its first open humanoid reference design, "Isaac GR00T."
NVIDIA has unveiled its first open-source humanoid robot reference design, named the NVIDIA Isaac GR00T Reference Humanoid Robot, aimed at advancing robotics research. This announcement was made recently, highlighting NVIDIA's commitment to fostering innovation in the field of robotics. The new design is expected to provide researchers and developers with a versatile platform to explore and develop robotic applications. By making the design open-source, NVIDIA aims to encourage collaboration and accelerate advancements in humanoid robotics, allowing a broader community to contribute to and benefit from this technology.
NVIDIA Research Advances Robotics From Simulation to the Real World
At the International Conference on Robotics and Automation (ICRA), NVIDIA Research showcased advancements in robotics that signal a significant shift towards achieving reliable embodied autonomy in real-world applications. This transition marks a departure from traditional controlled demonstrations and scripted automation, emphasizing the need for robots to operate effectively in unpredictable environments. The event, held recently, highlighted eight innovative projects that illustrate how robotics can adapt and function autonomously outside of laboratory settings. This evolution is driven by the increasing demand for robots to perform complex tasks in diverse scenarios, enhancing their utility across various industries. By leveraging cutting-edge technology and research, NVIDIA aims to pave the way for a future where robots can seamlessly integrate into everyday life, improving efficiency and productivity.
GTC 2026: NVIDIA Aims to Transform Robotics Data Challenges into Computational Solutions
At the GTC 2026 conference, NVIDIA unveiled its latest innovation in robotics, the Olaf robot, highlighting its commitment to 'Physical AI'. This initiative seeks to revolutionize the way data is collected for robotic development by shifting from costly real-world data acquisition to the use of simulation and synthetic data generation. By leveraging these advanced techniques, NVIDIA aims to enhance the creation of intelligent robots that can be applied across multiple industries, thereby streamlining processes and reducing expenses associated with traditional data collection methods.
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NVIDIA Showcases Six Major Robotics Trends at GTC 2026
At the GTC 2026 conference, NVIDIA showcased groundbreaking developments in robotics, emphasizing six pivotal trends influenced by their innovative 'Physical AI' concept. The company is working alongside industry leaders to improve robotic capabilities through advanced simulation techniques, data generation, and strategic partnerships. This collaborative effort is set to revolutionize the field, enabling the creation of smarter and more adaptable robots that can better meet the demands of various applications.
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NVIDIA and Global Robotics Leaders Take Physical AI to the Real World
NVIDIA has announced a strategic partnership with key players in the global robotics ecosystem, which includes prominent developers of robot intelligence, major industrial robot manufacturers, and innovators in humanoid robotics. This collaboration aims to enhance the development of production-scale physical artificial intelligence. In conjunction with this initiative, NVIDIA introduced its latest Isaac™ simulation frameworks, designed to support the advancement of robotics technology. The partnership is part of NVIDIA's broader commitment to drive innovation in AI and robotics, addressing the growing demand for intelligent automation solutions across various industries.
ABB Robotics Taps NVIDIA Omniverse to Deliver Industrial‑Grade Physical AI at Scale
ABB Robotics and NVIDIA have formed a groundbreaking partnership aimed at revolutionizing manufacturing through the integration of advanced artificial intelligence. Announced today, this collaboration will incorporate NVIDIA's Omniverse libraries into ABB's RobotStudio programming and simulation suite, enhancing the capabilities of industrial robots. This integration is designed to facilitate the deployment of industrial-grade AI on factory floors, allowing for more efficient and intelligent automation processes. By leveraging NVIDIA's cutting-edge technology, ABB aims to improve operational efficiency and productivity in manufacturing environments. The partnership signifies a significant step towards the future of smart factories, where AI-driven robotics can adapt and respond to complex manufacturing challenges in real-time.
The Human Scale: NVIDIA’s EgoScale Unlocks High-Dexterity Robotics via 20,000 Hours of Human Video
NVIDIA researchers have introduced EgoScale, an innovative framework designed to enhance robotic capabilities in complex manipulation tasks. This development utilizes an extensive dataset comprising 20,854 hours of egocentric human activity, allowing robots to learn intricate skills with minimal reliance on direct robot-in-the-loop data. The announcement was made recently, showcasing how EgoScale can significantly improve the efficiency and effectiveness of robotic training processes. By harnessing this vast dataset, the framework aims to bridge the gap between human-like dexterity and robotic performance, ultimately advancing the field of robotics and its applications in various industries.
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NVIDIA Open-Sources DreamDojo: A 44,000-Hour "Dream" to Solve the Robotics Data Gap
NVIDIA GEAR Lab has unveiled DreamDojo, an innovative open-source world model that leverages a substantial dataset of 44,000 hours of human egocentric videos. This advanced model employs "latent actions" to effectively connect human movements with robotic actions, enabling it to achieve zero-shot generalization and real-time controllability for applications in teleoperation and planning. The release of DreamDojo marks a significant advancement in the field of robotics, enhancing the potential for seamless interaction between humans and machines.
Dr Jim Fan NVIDIA World-Models open-source world-model
NEURA Robotics, SAP, and NVIDIA Partner to Bring Business AI to Physical Robots
NEURA Robotics, SAP, and NVIDIA have formed a strategic partnership to enhance robotic capabilities through the integration of advanced technologies. This collaboration, announced recently, aims to combine SAP's business AI with NVIDIA's digital twin technology and NEURA's cognitive robots. The initiative seeks to develop what is termed 'physical Business AI,' allowing robots to autonomously execute complex tasks by leveraging real-time enterprise data. This innovative approach will be facilitated through NEURA's Neuraverse platform, marking a significant step forward in the automation and efficiency of business operations.
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Nvidias Vision for "Physical AI" in Humanoid Robotics
At the recent GTC conference hosted by Nvidia, the company unveiled its latest initiative, "Physical AI," which aims to significantly improve the functionality of robots in real-world environments. This innovative concept combines cutting-edge artificial intelligence models with sophisticated simulation platforms and novel data generation techniques. By integrating these technologies, Nvidia seeks to enhance the operational capabilities of robots, enabling them to perform tasks more efficiently and effectively in various settings. The initiative reflects Nvidia's commitment to advancing AI applications and addressing the challenges faced by robotics in practical scenarios.
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Agility Robotics Expands Relationship with NVIDIA
Agility Robotics announced an expansion of its collaboration with NVIDIA during the GTC 2025 event on March 18, 2025. The partnership will see the integration of NVIDIA's advanced hardware and software into the training and simulation processes for Digit, Agility Robotics' humanoid robot. This strategic move aims to enhance Digit's capabilities, leveraging NVIDIA's cutting-edge technology to improve performance and efficiency in various applications. The collaboration underscores Agility Robotics' commitment to advancing robotics through innovative solutions and partnerships in the tech industry.
Neura Robotics Announces $1.4B Series C Including Nvidia, Amazon, Tether and Qualcomm
Neura Robotics, a German robotics firm, has successfully completed a Series C funding round, raising up to $1.4 billion. This significant investment aims to facilitate the expansion of the company's cognitive robots and enhance its Physical AI platform. The funding round attracted support from a consortium of prominent technology, industrial, and financial investors, underscoring the growing interest in advanced robotics and AI solutions. The company plans to leverage these funds to accelerate its deployment efforts and further innovate within the robotics sector.
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Robot.com Introduces R-noid Humanoid Robot for Challenging Labor Markets
Robot.com has officially launched R-noid, a humanoid robot designed to tackle repetitive and hard-to-fill jobs across various industries. Deployed under a Robot-as-a-Service model, R-noid can achieve autonomous operation within eight to twelve weeks, addressing significant staffing challenges in sectors like healthcare and food services. The introduction of R-noid is crucial as industries face high turnover rates, with quick-service restaurants experiencing over 130 percent staff turnover and hotel operators reporting critical staffing gaps. R-noid aims to alleviate these issues by taking on roles that are difficult to staff, allowing human workers to focus on more skilled tasks. Looking ahead, Robot.com is collaborating with FieldAI to integrate advanced AI capabilities into R-noid, enhancing its operational efficiency in dynamic environments. No further timeline was disclosed at the time of publication.
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NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmented resources, from large ...
FORT Robotics extends its Trust Layer for Physical AI by adding Outside-In Safety in collaboration with NVIDIA Halos for Robotics
Researchers have developed a groundbreaking approach to enhance robot perception by integrating external sensors with traditional on-board systems. This innovative method allows robots to dynamically adjust their behavior, significantly improving their operational efficiency. The advancements were made public in October 2023, showcasing the potential for robots to better navigate and interact with their environments. By utilizing additional sensory data, these robots can respond more effectively to changing conditions, ultimately leading to more reliable and versatile applications in various fields. This development represents a significant step forward in robotics, promising to transform how machines operate in complex settings.
Nvidia and ABB Robotics advance partnerships, Standard Bots raises $200M
Ahead of the upcoming Automate trade show, robotics companies are showcasing their latest innovations in Chicago. The event, scheduled for next week, serves as a platform for these firms to present cutting-edge technologies and advancements in automation. With the industry rapidly evolving, the previews aim to attract attention from potential buyers and industry professionals eager to explore new solutions that enhance productivity and efficiency. The demonstrations will highlight various applications of robotics across different sectors, emphasizing the growing importance of automation in modern manufacturing and logistics. As companies prepare for the trade show, the anticipation builds for what promises to be a significant gathering in the robotics sector.
Robotics startup backed by Nvidia, Amazon and others raises $1.4B
Neura has announced plans to utilize new capital to enhance its robot production and deployment across various industries. The initiative aims to expand the company's training and intelligence infrastructure, allowing for more advanced and efficient robotic solutions. This strategic move comes as Neura seeks to strengthen its position in the rapidly evolving robotics market, responding to growing demand for automation and intelligent systems. By increasing production capabilities and improving training resources, Neura intends to meet the needs of diverse sectors and drive innovation in robotic technology.
Humaniod robotics company raises up to $1.4 billion from Nvidia, Amazon and others
In recent months, investors have increasingly turned their attention to companies specializing in physical artificial intelligence (AI), signaling a growing confidence in the sector's potential. This surge in investment comes as advancements in AI technology continue to reshape various industries, from robotics to automation. The trend has been particularly pronounced since early 2023, with venture capital firms and private investors seeking to capitalize on the transformative capabilities of physical AI solutions. The influx of funding is driven by the recognition of AI's ability to enhance operational efficiency and reduce costs across sectors such as manufacturing, logistics, and healthcare. As businesses look to innovate and stay competitive, the demand for physical AI applications is expected to rise, prompting investors to support startups and established companies in this field. This investment wave is taking place primarily in technology hubs across North America and Europe, where many of these companies are based. As the physical AI market continues to evolve, it is likely to attract even more attention from investors eager to be part of a rapidly growing industry that promises to redefine the future of work and productivity.
From Prosthetics to Pixels: PSYONIC and NVIDIA Bridge the Robotics "Data Gap" with Real-to-Real Transfer
PSYONIC has integrated its Ability Hand into NVIDIA's Isaac Lab, marking a significant advancement in robotic manipulation technology. This collaboration introduces a "real-to-real" transfer pipeline that leverages human-driven data to enhance the training of dexterous robots. By utilizing data collected up to October 2023, the initiative aims to improve the precision and effectiveness of robotic tasks, ultimately bridging the gap between human and robotic capabilities. This innovative approach is expected to accelerate the development of more sophisticated and adaptable robotic systems, paving the way for broader applications in various industries.
NVIDIA US hand PSYONIC Ability Hand
NVIDIA Announces Open Physical AI Data Factory Blueprint to Accelerate Robotics, Vision AI Agents and Autonomous Vehicle Development
NVIDIA has unveiled the NVIDIA Physical AI Data Factory Blueprint, an innovative open reference architecture designed to streamline the generation, augmentation, and evaluation of training data for physical AI applications. Announced today, this blueprint aims to significantly cut costs, time, and complexity associated with training AI models. By providing a unified and automated approach, NVIDIA seeks to enhance the efficiency of AI development processes, making it easier for organizations to implement and scale their AI initiatives. This initiative reflects NVIDIA's commitment to advancing AI technology and supporting developers in overcoming the challenges of data management in AI training.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
