Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Niantic Spatial adds USDZ export to Scaniverse to streamline robotics simulation workflows
Niantic Spatial has launched USDZ export for its Scaniverse app, enabling robotics developers to convert real-world environments into simulation-ready digital twins for use with Nvidia Isaac Sim. The new capability is designed to help address the long-standing “sim-to-real” gap in robotics, where systems trained in synthetic environments often struggle when deployed in complex, real-world settings. […]
News Robot simulation 3d scanning Autonomous robots digital reconstruction digital twins
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.
All News
Why robotics can’t advance without physical AI
Recent advancements in robotics are shifting focus from enhancing processors and mechanical designs to improving data quality, particularly through realistic training environments. This emerging field, known as Physical AI, emphasizes the creation of 3D assets and simulation environments that incorporate genuine physical properties. By accurately mimicking real-world behaviors, these simulations aim to enhance the training of robotic systems, enabling them to perform more effectively in various applications. As researchers and developers prioritize realistic data over traditional methods, the potential for breakthroughs in robotic capabilities is becoming increasingly evident. This evolution in robotics is expected to redefine how machines interact with their environments, paving the way for more sophisticated and adaptable technologies.
Artificial Intelligence Robotics ai robotics automation news Autonomous robots digital twins
Interview with Columbia professor and co-founder of SceniX Yunzhu Li: ‘Simulation is central’
The robotics industry is currently experiencing a significant influx of investment and media coverage, driven by ambitious projections regarding the future of humanoid machines. Numerous companies have unveiled plans to produce thousands of robots, leveraging recent advancements in artificial intelligence that have heightened expectations for the integration of general-purpose robots into various environments, including factories, warehouses, workplaces, and homes. This surge in interest reflects a growing belief that robots could soon become a standard presence in everyday life. However, amidst the enthusiasm, there are underlying challenges and considerations that the industry must address to realize these ambitious goals.
Artificial Intelligence Features Robotics ai robotics artificial intelligence automation news
South Korea's WIRobotics unveils simulation model of humanoid "ALLEX," marking a step towards building a physical AI ecosystem.
South Korean robotics company WIRobotics has unveiled a simulation model of its humanoid robot, ALLEX, on June 29, 2026. This announcement coincides with the company's broader initiative to establish a technological roadmap aimed at developing a physical AI ecosystem. By sharing this simulation model, WIRobotics aims to foster innovation and collaboration within the robotics industry, positioning itself as a leader in the advancement of humanoid robotics technology.
WIRobotics Begins Building a Physical AI Development Ecosystem: The First Technology Release Features the ALLEX Simulation Model
ALLEX Technologies has announced plans to sequentially release additional core technologies aimed at enhancing the development of Physical AI. This initiative is set to expand the Physical AI development ecosystem, facilitating high-fidelity Sim-to-Real validation processes. The company aims to create an open environment that supports researchers and robotics developers in their quest to innovate within the field. By fostering collaboration and providing advanced tools, ALLEX Technologies seeks to drive advancements in Physical AI, making it more accessible and effective for various applications.
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.
Neura Robotics Unveils ‘Neura Gym’ to Bridge AI’s Simulation-to-Reality Gap
Neura Robotics has unveiled the NEURA Gym, a state-of-the-art physical training facility aimed at enhancing the capabilities of robots by generating real-world interaction data. This initiative, announced recently, addresses a significant challenge in the field of robotics: the difficulty of transferring skills learned in simulated environments to the unpredictable dynamics of the physical world. By utilizing this facility, the company seeks to improve the reliability and effectiveness of AI models, ultimately advancing the development of autonomous robotic systems.
Data Collection Neura Robotics Europe Neura Gym
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.
Artificial Intelligence Computing AI cloud computing AI infrastructure automation news nebius
Interview with Olo Robotics COO Eleanor Tang-Smith: Making robot programming accessible to everyone
Recent advancements in robotics hardware have led to the emergence of highly capable autonomous mobile robots, quadrupeds, robotic arms, and humanoid robots, which are now more commercially available than ever. However, many organizations face significant challenges in adopting these technologies due to the complexities associated with software development. Creating robotic applications often necessitates specialized knowledge in platforms like ROS 2 (Robot Operating System 2). This gap in expertise hinders the widespread implementation of robotic solutions in various sectors, despite the promising capabilities of the hardware. As the industry continues to evolve, addressing the software barriers will be crucial for facilitating broader adoption and maximizing the potential of robotic innovations.
Computing Design Features Robot simulation ai robotics automation news
Visual Components launches new version of its factory simulation software
Visual Components, a leader in 3D manufacturing simulation and robot offline programming, has unveiled its latest software, Visual Components 5.1. This significant update aims to assist manufacturers in navigating the increasing complexity of autonomous production environments. Released recently, the new version features enhanced physics simulation for greater accuracy and scalable robot orchestration capabilities. These advancements are designed to streamline operations and improve efficiency in manufacturing processes, responding to the industry's evolving demands for automation and precision.
Computing News Robot simulation Software AGV simulation AMR simulation
Neura Robotics raises record Series C of $1.4 billion to accelerate physical AI platform
Neura Robotics, a leader in cognitive robotics and the developer of the Neuraverse, has secured a significant Series C financing round totaling up to $1.4 billion. This funding aims to expedite the company's goal of establishing what it describes as the world's foremost physical AI platform. The substantial investment indicates a strong market valuation for Neura Robotics, reflecting investor confidence in its innovative technology and future potential.
Artificial Intelligence News Robot simulation ai robotics automation news Autonomous robots
Simulation tools in the ROS ecosystem: Testing and validating robots virtually
In a significant advancement for robotics, researchers are increasingly relying on virtual environments to develop and refine robots before they are deployed in the real world. This trend allows robots, such as those used in warehouses, autonomous vehicles, and humanoid designs, to undergo extensive training and testing in simulated settings. By utilizing these virtual platforms, developers can enhance the robots' navigation and operational skills without the risks and costs associated with real-world trials. This approach not only accelerates the development process but also improves the overall safety and efficiency of robotic systems. As the technology evolves, the reliance on virtual training is expected to grow, paving the way for more sophisticated and capable robots in various industries.
Computing Features Robot simulation Software automation news Autonomous robots
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.
News Feed
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.
ABB Robotics delivers new industry-ready physical AI at Automate 2026
At Automate 2026, ABB Robotics will showcase its latest advancements in physical AI, including the debut of its Physical AI Toolchain, designed to enhance the capabilities of industrial robots. The event, taking place at Booth #1241 on June 17, 2026, will feature demonstrations of the Autonomous Versatile Robotics (AVR™) system, which equips robots with advanced sensory and mobility functions to operate more efficiently across various applications. Marc Segura, President of ABB Robotics, emphasized that physical AI is transforming traditional robotic operations, allowing for faster, safer, and smarter performance. The new toolchain facilitates the training of robots using simulated and real-world data, bridging the gap between simulation and practical application with high precision. This initiative follows ABB's partnership with NVIDIA, which aims to enhance robot training through advanced simulation technologies. Among the highlights will be the introduction of ABB's high-speed PoWa™ cobot family and a collaboration with Aura Sensae, integrating intelligent sensing technology for improved human-robot interaction. Visitors can expect to see demonstrations of AI-powered palletizing systems, intuitive interfaces, and real-time interaction capabilities, showcasing ABB's commitment to human-centric robotics. Additionally, ABB Robotics will host special events focused on automotive and software innovations on June 23 and 24, respectively, further engaging with industry stakeholders.
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.
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.
AI AI Funding & Investment Robotics Doosan Group LG Group Partnership
Daxiao Robotics Releases Open Source 3D Dataset for Chinese Home Designs, Challenging Figure AI
Daxiao Robotics, in partnership with the Chinese University of Hong Kong and Shenzhen He Tao College, has unveiled the world's first extensive 3D dataset specifically designed for Chinese households. This groundbreaking resource includes 300,000 authentic floor plans and 5,000 interactive simulation scenes, marking a significant advancement in the field of robotics. Launched recently, the dataset aims to improve the training of robots for various household tasks, thereby contributing to the evolution of embodied AI within the Chinese market. By providing this comprehensive data, the collaboration seeks to enhance the capabilities of robots in domestic environments, ultimately fostering innovation in the sector.
3D Data Sets Embodied AI Home Robotics Simulation Technology
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.
Physical AI Robotics Simulation NVIDIA Machine Learning
OpenAI announces entry into robotics, focusing on developing assistive robots in the short term.
OpenAI CEO Sam Altman announced via social media that the company is seeking talented full-stack hardware, operations, systems, and machine learning engineers to collaborate on developing socially beneficial robots. He emphasized that artificial intelligence should assist humans in the real world. In the short term, OpenAI aims to create robots that can help technical workers build future infrastructure, while in the long term, the company envisions a future where everyone has a personal robot capable of fulfilling various needs. Altman revealed that OpenAI's world simulation research project has rapidly evolved over the past year into OpenAI Robotics, led by Aditya Ramesh. The project is making significant strides, grounded in the deep integration and collaborative design of robotics hardware and machine learning research.
NVIDIA research shows robots trained in simulation can handle real-world tasks
Recent advancements in robotics have led to significant improvements in the reliability of robots trained entirely in simulation. Researchers have found that these simulated robots are now capable of performing tasks with greater accuracy and efficiency in real-world environments. This development comes as a response to the growing demand for automation across various industries, where the ability to seamlessly transition from virtual training to practical application is crucial. The breakthrough was reported in October 2023, highlighting the successful application of simulation-based training methods that allow robots to learn complex tasks without the risks and limitations associated with physical training. By utilizing advanced algorithms and machine learning techniques, these robots can adapt to unpredictable conditions and execute tasks that were once considered too challenging for automated systems. As industries increasingly seek to integrate robotic solutions to enhance productivity and reduce labor costs, the ability of these robots to operate reliably in the real world marks a significant milestone in the field of robotics. The ongoing research aims to refine these training methods further, ensuring that robots can meet the diverse needs of various sectors, from manufacturing to healthcare.
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.
Robotics Artificial Intelligence Simulation Technology Industrial Automation
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.
Robotics AI Simulation Technology Industrial Automation
Menlo Research Open-Sources Asimov v1, Releasing CAD and Simulation Files for "The Rest of Us"
Menlo Research has unveiled the complete open-source repository for the Asimov v1 humanoid robot, coinciding with the launch of their "Here Be Dragons" kit. This comprehensive release includes detailed mechanical designs, electrical wiring schematics, and a MuJoCo simulation model, aimed at fostering innovation and collaboration within the robotics community. The initiative, announced recently, seeks to empower developers and researchers by providing them with the necessary resources to advance humanoid robotics. By making these materials publicly accessible, Menlo Research hopes to stimulate further research and development in the field, encouraging a collaborative approach to technological advancement.
open-source Asimov
From Simulation to Production: How to Build Robots With AI
NVIDIA has unveiled its latest open models and frameworks designed to enhance cloud-to-robot workflows by integrating simulation, robot learning, and embedded computing. This development, announced in October 2023, aims to streamline the processes involved in robotics, making it easier for developers to create and deploy robotic systems. By leveraging advanced simulation techniques and machine learning, NVIDIA's new offerings are expected to significantly improve the efficiency and effectiveness of robotic applications across various industries. The initiative reflects NVIDIA's commitment to advancing robotics technology and supporting the growing demand for intelligent automation solutions.
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.
Funding of 1 Billion Yuan! Former NVIDIA Simulation Head Launches Startup, Creating the World's First Embodied Data Unicorn
Guanglun Intelligent Technology has achieved a significant milestone by securing 1 billion yuan in funding, marking its status as the first unicorn in the embodied data sector. This funding will support the company's efforts in advancing its innovative physical simulation engine and comprehensive model evaluation system. These technologies are designed to enhance the capabilities of humanoid robots, pushing the boundaries of what is possible in robotics through sophisticated data analysis and simulation techniques. The investment underscores the growing interest and potential in the field of embodied data, positioning Guanglun at the forefront of this emerging industry.
Embodied Intelligence Physical Simulation AI Data Infrastructure Robot Development
NEURA Robotics and TUM Launch Europe’s Largest Physical AI Training Center
Munich Airport is set to unveil a state-of-the-art "TUM RoboGym," a €17 million facility designed to enhance robotics training by utilizing a fleet of humanoid robots. This innovative project aims to bridge the gap between simulation and real-world applications, significantly advancing the capabilities of NEURA’s hardware-agnostic Neuraverse platform. The RoboGym is expected to play a crucial role in the development and deployment of advanced robotic technologies, fostering research and practical applications in the field. The facility is anticipated to open in the near future, marking a significant milestone in the integration of robotics into everyday environments.
4NE-1 Neura Robotics Europe Neura Gym
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.
Top 5 Trends of the Industrial Robotics Solutions Industry in 2026 (Focus on AI & Cloud)
The automation sector is witnessing significant advancements, particularly in industrial robotics, as companies like JAKA adapt to evolving demands for flexibility, intelligence, and connectivity. As the industry heads toward 2026, five key trends are shaping the future of robotic solutions. Manufacturers are increasingly focusing on adaptive and accessible automation, enabling easier deployment and reconfiguration of sophisticated systems. JAKA is leading this shift with user-friendly interfaces that allow shop-floor personnel to quickly set up industrial welding robots, minimizing downtime and skill barriers. Another trend is the growth of cloud-connected system management, which facilitates centralized monitoring and data analytics across multiple robotic arms. This connectivity allows manufacturers to optimize maintenance and streamline operations, particularly in welding applications where real-time tracking of consumable usage is crucial. Artificial intelligence is also playing a pivotal role, moving beyond vision inspection to enhance real-time process control. JAKA's AI-enhanced welding robots can make instantaneous adjustments, improving efficiency and reducing rework by compensating for material variations. The expansion of human-robot collaboration is evident as collaborative robots (cobots) become smarter and more integrated into workflows. JAKA's cobots assist operators in welding tasks, allowing humans to focus on quality inspection and decision-making, thereby boosting productivity. Lastly, the integration of digital twin technology is gaining traction, enabling manufacturers to simulate robotic processes without disrupting production. JAKA's compatibility with simulation platforms allows for pre-validation of welding paths, reducing debugging time and accelerating return on investment. These trends underscore a shift toward more connected and intelligent automation, with JAKA committed to developing user-centric solutions that meet the demands of the smart factory era.
AGIBOT Launches AGIBOT World Challenge @ ICRA 2026: Registration Now Open for the $530,000 Global Robotics Event
AGIBOT has officially unveiled the AGIBOT World Challenge during the International Conference on Robotics and Automation (ICRA) 2026, a renowned global event in the field of robotics. This competition, boasting a substantial prize pool of $530,000, aims to attract leading innovators in embodied artificial intelligence. Participants will engage in two distinct tracks that emphasize the critical transition from simulated environments to real-world applications, as well as the development of predictive modeling techniques. Competitors will leverage AGIBOT's cutting-edge robotics platform and simulation tools to push the boundaries of AI technology. The initiative underscores AGIBOT's commitment to fostering advancements in robotics and AI, encouraging collaboration and creativity among top talent in the industry.
Robotics Artificial Intelligence Competitions Innovation Technology
Simulating the 'Masterpiece': XPENG Robotics Unveils Design Framework and Lattice Musculature for IRON
XPENG Robotics has unveiled a comprehensive technical analysis detailing the innovative 'body logic' of its IRON humanoid robot. This deep-dive, released recently, highlights significant advancements in the robot's design, including a revamped reinforcement learning framework and proprietary algorithms that enable the simulation of intricate 3D-printed lattice muscles. The development aims to enhance the robot's functionality and adaptability, showcasing XPENG's commitment to pushing the boundaries of robotics technology. This initiative reflects the company's broader strategy to integrate advanced machine learning techniques with cutting-edge manufacturing processes, positioning the IRON humanoid as a leader in the evolving robotics landscape.
China XPeng IRON
Amazon FAR Open Sources Holosoma to Unify Humanoid Simulation and Training
The Frontier AI & Robotics team has unveiled a comprehensive "full-stack" framework aimed at connecting various simulation environments with real-world applications. This innovative development, announced recently, seeks to enhance the integration of artificial intelligence and robotics by providing a standardized approach for transitioning from simulated scenarios to practical deployment. The initiative is driven by the growing need for seamless interoperability between diverse systems, which is essential for advancing technology in fields such as autonomous vehicles and industrial automation. By facilitating smoother transitions and reducing the complexities involved in these processes, the framework is expected to accelerate advancements in AI and robotics, ultimately leading to more efficient and effective real-world solutions.
US Research Amazon embodied-ai
Agility Robotics' Digit Showcases Autonomous 'Shopping' in New Demo
Agility Robotics has unveiled a new video featuring its humanoid robot, Digit, demonstrating its ability to autonomously pick up a shopping basket and various items within a laboratory environment. This advancement highlights the capabilities of a whole-body controller that has been trained in simulation, allowing Digit to effectively interact with unfamiliar objects and navigate diverse settings. The demonstration showcases the progress in robotics technology and the potential applications of such autonomous systems in everyday tasks.
Digit Agility Robotics
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.
NVIDIA Jensen Huang hover GR00T Isaac GR00T N1
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.
How Physical AI Is Closing the Gap Between Simulation and the Shop Floor
A new generation of systems is emerging that not only simulates the physical world but also engages in real-time reasoning and actions. This advancement is driven by a sophisticated spatial computing stack that integrates foundation models, AI-generated software, and high-fidelity 3D sensing technologies. These systems aim to enhance interactions with the environment, providing more intuitive and responsive experiences. The development is part of a broader trend in technology aimed at creating smarter, more adaptive solutions across various industries, including gaming, robotics, and virtual reality. As these innovations continue to evolve, they promise to transform how users interact with digital and physical spaces, paving the way for more immersive and effective applications.
FANUC and NVIDIA build robots that act identically in simulation and reality
Japanese robotics company FANUC has announced an expansion of its partnership with NVIDIA to develop advanced factory robots. This collaboration aims to integrate NVIDIA's artificial intelligence technology into FANUC's robotics systems, enhancing automation capabilities in manufacturing. The announcement was made on October 10, 2023, during a technology conference in Tokyo. The partnership is driven by the increasing demand for smarter and more efficient manufacturing solutions, as industries seek to improve productivity and reduce operational costs. By leveraging NVIDIA's expertise in AI and machine learning, FANUC intends to create robots that can adapt to various tasks and environments, ultimately transforming the landscape of factory automation. The integration process will involve combining FANUC's robotics hardware with NVIDIA's AI software, enabling real-time data processing and decision-making. This innovative approach is expected to lead to significant advancements in the efficiency and versatility of factory robots, positioning both companies at the forefront of the rapidly evolving automation market.
Simulation Platforms for Underwater Robotic Applications: Architectures, Capabilities, and Research Directions
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic navigation. Researchers from a leading university conducted experiments to improve the efficiency and accuracy of robots in complex environments. The study, released in early October 2023, focused on various terrains, including urban settings and natural landscapes, to assess how robots can better adapt to their surroundings. The motivation behind this research stems from the increasing demand for autonomous systems in industries such as agriculture, logistics, and disaster response. By enhancing the navigation capabilities of robots, the researchers aim to facilitate their deployment in real-world applications, ultimately improving operational efficiency and safety. The team utilized a combination of machine learning algorithms and sensor technologies to develop a new navigation framework. This innovative approach allows robots to process environmental data in real-time, enabling them to make informed decisions and navigate obstacles more effectively. The findings suggest that these advancements could significantly reduce the time and resources required for robots to complete tasks in unpredictable environments. As the field of robotics continues to evolve, this research represents a crucial step towards more reliable and versatile autonomous systems, paving the way for broader applications in various sectors.
SURVEY ARTICLE
AGIBOT Introduces Genie Sim 3.0, an Integrated Simulation, Data, and Benchmarking Platform for Embodied AI
AGIBOT has unveiled Genie Sim 3.0, an advanced platform aimed at improving embodied artificial intelligence in robotics. Launched recently, this open-source platform addresses significant challenges in robotics development by incorporating features such as environment generation, data scalability, and standardized evaluation methods. Genie Sim 3.0 enables the creation of 3D environments driven by large language models (LLMs) and includes a comprehensive framework for evaluating robot algorithms. The platform also integrates deeply with reinforcement learning, streamlining the experimentation and deployment processes for robotics. This upgrade is expected to facilitate faster advancements in the field, enhancing the capabilities and efficiency of robotic systems.
Embodied AI Robotics Simulation Reinforcement Learning Data Evaluation
Development of Spatial Path Tracking Algorithm and Controller for a 6‐SPS Stewart Parallel Manipulator: A Simulation and Experimental Study
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions conducted the study to address the increasing demand for efficient farming practices amid global food shortages. The findings, released in early October 2023, showcase innovative technologies that enable robots to perform tasks such as planting, harvesting, and monitoring crops with minimal human intervention. The research was conducted in various agricultural settings, demonstrating the robots' adaptability to different environments and crops. By integrating artificial intelligence and machine learning, the robotic systems can analyze soil conditions, weather patterns, and crop health, allowing for precise interventions that enhance productivity and sustainability. This initiative aims to alleviate labor shortages in the agricultural sector and improve food security by optimizing resource use and reducing waste. The study emphasizes the potential of these technologies to transform traditional farming methods, making them more efficient and environmentally friendly. As the agricultural industry faces mounting challenges, the deployment of autonomous robots may play a crucial role in ensuring a stable food supply for the future.
RESEARCH ARTICLE
Interview with Ding Wenchao of Itstone: No VLA, No Simulation, No Remote Control - Itstone's Embodied Brain Has No Plan B
Itstone made headlines at AWE 2026 with the unveiling of its A1 robot, which set a Guinness World Record for sub-millimeter flexible wiring assembly. The company, recognized for tackling complex challenges in robotics, showcased its latest innovation, AWE 3.0, an advanced embodied AI model designed to perform effectively in real-world industrial environments. Unlike previous models, AWE 3.0 operates independently without the need for remote operation data, marking a significant advancement in autonomous robotics. This debut not only highlights Itstone's commitment to pushing the boundaries of technology but also positions the A1 robot as a leading solution in the field of industrial automation.
Embodied Intelligence Industrial Automation Robotics AI Technology
Amazon's OmniRetarget Teaches Humanoids Complex Skills by Preserving Physical Interactions
Amazon's FAR robotics team has introduced OmniRetarget, an innovative data generation engine designed to convert human movements into realistic trajectories for humanoid robots. This groundbreaking system allows a single demonstration by a human to be expanded into extensive training data, significantly streamlining the reinforcement learning process. As a result, complex loco-manipulation skills can be transferred from simulation to a real Unitree G1 robot without the need for additional training. The unveiling of OmniRetarget marks a significant advancement in robotics, enhancing the capabilities of humanoid robots and paving the way for more sophisticated applications in various fields.
AI Amazon simulation robotics
Open-Source Software Is Starting to Help Robots Think
A new wave of open-source robotics is transforming the field, enabling a broader range of individuals to develop advanced robotic systems. This movement, which gained momentum in the last two years, has seen major companies like Hugging Face, Nvidia, and Alibaba invest in tools and models aimed at enhancing robots' cognitive abilities. The initiative builds on the success of the Robot Operating System (ROS), introduced in 2007, which standardized robotics software and significantly reduced the time researchers needed to focus on their core projects. Nvidia has developed a comprehensive open-source robotics stack that includes simulation tools and pre-trained models, making it easier for developers to create sophisticated robots without needing extensive expertise. Hugging Face has furthered this effort with its LeRobot platform, which has rapidly expanded its dataset offerings, now boasting over 58,000 robotics datasets. While the open-source approach democratizes access to robotics technology, concerns arise regarding the influence of commercial interests in shaping the field. Experts warn that as companies drive the movement, there is a risk of duplicating existing solutions rather than innovating. Nevertheless, the growing community of contributors—from industry leaders to hobbyists—signals a promising future for open-source robotics, fostering collaboration and creativity in a field that is becoming increasingly accessible.
Open-robotics Robot-ai Huggingface Ros Nvidia
RLWRLD launches open platform to benchmark dexterous robotic hands
RLWRLD, a physical AI company with a proprietary robotics foundation model, RLDX-1, has announced the launch of “All Hands Up!”, an open web platform that provides technical reports and visualization tools based on the company’s firsthand experience operating a wide range of commercially available dexterous robot hands. All Hands Up! is designed to analyze and […]
Computing Robot simulation All Hands Up DexBench dexterous hands dexterous manipulation
From backflips to folding laundry: How X Square Robot is building the missing ‘brain’ for embodied AI
A Chinese robotics company, X Square Robot, is focusing on a challenging objective: developing robots capable of functioning in the unpredictable and complex environments typical of human settings. Unlike many firms that highlight humanoid robots performing impressive feats like backflips and obstacle courses, X Square Robot aims to create machines that can adapt to real-world conditions where people live and work. The company's founder emphasizes the importance of this endeavor, suggesting that successfully teaching robots to navigate such environments could have significant implications for various industries. This initiative reflects a broader trend in robotics, where the emphasis is shifting from mere performance demonstrations to practical applications that enhance everyday life.
Computing Humanoids News Robot simulation ai robotics artificial intelligence
How Sony AI’s table tennis robot is advancing physical AI
Omron and Kuka have showcased their latest advancements in robotics with a table tennis-playing robot, highlighting the innovative potential of industrial robots beyond traditional manufacturing tasks. While these companies have previously demonstrated similar robotic systems, the introduction of a robot capable of playing table tennis captures attention due to its unique application of robotics and artificial intelligence. This development underscores the growing interest among researchers in exploring the capabilities of robots in dynamic environments, where agility and quick decision-making are crucial. The demonstration serves not only as a testament to technological progress but also as a playful reminder of the diverse possibilities that robotics can offer in various fields.
Computing Features Ace robot artificial intelligence automation news Autonomous robots
Decart’s Oasis 3 world model streams realism into robotic training environments
Decart, a leading frontier AI research lab, has unveiled its latest world model, Oasis 3, in a bid to integrate synthetic simulation with physical AI. The announcement, made recently, highlights the model's capability to enhance the training processes for operating system models used in robots and autonomous vehicles. By focusing on this innovative approach, Decart aims to advance the development of intelligent systems that can operate seamlessly in real-world environments. The launch of Oasis 3 represents a significant step forward in the quest to improve AI's practical applications, addressing the growing demand for more sophisticated and capable autonomous technologies.
Artificial Intelligence Computing Culture Design automation news autonomous vehicles
1X Reveals Its 'World Model,' A Digital Twin to Accelerate Humanoid AI Training
Robotics firm 1X has unveiled its latest innovation, an 'action-controllable' world model, as part of its Redwood AI initiative. This advanced system serves as a high-fidelity simulator, enabling the company to predict the outcomes of its NEO robot's actions. By utilizing this technology, 1X can efficiently assess AI performance and make necessary adjustments without the need for expensive and time-consuming physical trials. This development marks a significant step forward in the company's efforts to enhance robotic capabilities and streamline testing processes.
1X-technologies Redwood generative-ai embodied-ai robotics-ai world-modelRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
