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Xiaomi Robotics Launches Open Source U0 Model with Significant Performance Enhancements

Xiaomi Robotics Launches Open Source U0 Model with Significant Performance Enhancements

On July 15, Xiaomi Robotics unveiled the open-source Xiaomi-Robotics-U0, a multimodal autoregressive foundational model with 38 billion parameters. This release follows the introduction of the VLA model Xiaomi-Robotics-0 in February, marking a significant advancement in embodied intelligence. The code and model weights are now available on GitHub, HuggingFace, and the Modao community. The importance of the U0 model lies in its ability to generate vast amounts of training data in virtual environments while receiving high-density validation feedback from real-world factory lines. The model achieved a success rate of 98% in dual-side operations at a car factory, just 1% shy of human performance. U0's design allows for efficient multi-task training without compromising the general visual understanding and spatial reasoning inherited from large-scale pre-training. Looking ahead, U0's capabilities in generating training data for embodied tasks present a controlled and efficient solution for enhancing model performance. Its integration with real-world validation processes at Xiaomi's automotive factory creates a robust feedback loop, ensuring continuous improvement and practical application of the technology. No further timeline was disclosed at the time of publication.

Robotics AI Machine Learning Automation
NVIDIA Open Sources Embodied Intelligence Toolchain to Enhance Robotics Development

NVIDIA Open Sources Embodied Intelligence Toolchain to Enhance Robotics Development

On July 6, NVIDIA integrated three key components into Hugging Face's open-source robotics library, LeRobot: the GR00T N1.7 model, Isaac Teleop framework, and the upcoming Cosmos 3. This collaboration connects NVIDIA's 3 million robot developers with Hugging Face's 16 million AI builders, facilitating access to pre-trained models and data. This initiative is significant as it shifts NVIDIA's focus from merely creating models to building an ecosystem that addresses data bottlenecks in embodied intelligence development. The Isaac Teleop framework standardizes data collection, allowing for easier sharing and reuse within the community, which is crucial for advancing robotics. Looking ahead, the integration of GR00T N1.7 and Isaac Teleop into the LeRobot workflow marks a pivotal moment for robotics developers. No further timeline was disclosed at the time of publication.

Robotics Open Source AI Development Data Collection Machine Learning
Open Source Collaboration: Beijing Humanoid Hosts Major Robotics Competition

Open Source Collaboration: Beijing Humanoid Hosts Major Robotics Competition

The Beijing Humanoid Robotics Innovation Center has announced the launch of the 'Open Source Collaboration' Hackathon in collaboration with Baidu Smart Cloud. This global competition, aimed at fostering advancements in embodied intelligence, invites developers to create deployable technological solutions across two categories: motion control and VLA model fine-tuning. The hackathon features a substantial prize pool of one million, along with the chance for participants to gain direct entry into the prestigious World Humanoid Robotics Games. This initiative seeks to encourage innovation and collaboration in the field of robotics, showcasing the potential of global talent in developing cutting-edge solutions.

Embodied Intelligence Robotics Competition Open Source AI Infrastructure
Open source hardware for robotics: Democratizing robot building

Open source hardware for robotics: Democratizing robot building

In recent years, discussions surrounding open-source robotics have predominantly centered on software, particularly the Robot Operating System (ROS), which has established itself as a leading framework for robot development. However, the narrative is evolving as a diverse ecosystem of open-source hardware platforms emerges, significantly reducing barriers for developers and innovators in the field. This shift is occurring against the backdrop of a growing demand for accessible robotic solutions, driven by advancements in technology and an increasing interest in automation across various industries. The integration of open-source hardware with existing software frameworks is fostering collaboration and innovation, enabling a broader range of participants to contribute to and benefit from the robotics revolution. As this trend continues to gain momentum, it is reshaping the landscape of robotics, making it more inclusive and accessible to a wider audience.

Computing Features Robotics arduino automation news automation technology
Hugging Face Acquires Pollen Robotics, Eyes Open Source Future for Humanoid Hardware

Hugging Face Acquires Pollen Robotics, Eyes Open Source Future for Humanoid Hardware

AI platform Hugging Face has made its inaugural foray into hardware by acquiring French startup Pollen Robotics. This acquisition, announced recently, includes Pollen's open-source humanoid robot, Reachy, along with its development team. The move reflects Hugging Face's strategic expansion into the robotics sector, reinforcing its commitment to open-source principles that have traditionally guided its AI software initiatives. By integrating Pollen's technology and expertise, Hugging Face aims to enhance its offerings and innovate within the robotics field.

open-source pollen-robotics hugging-face
RoboParty Launches Open Source Framework for Next-Gen Humanoid Robot Development

RoboParty Launches Open Source Framework for Next-Gen Humanoid Robot Development

In the past two years, the humanoid robot industry has seen numerous impressive demonstrations, but a shift is emerging in the second half of 2026. Companies are now focusing on developing training frameworks, development platforms, data tools, open-source models, and various R&D infrastructures. The competition is evolving from showcasing superior robots to enabling more developers to create robots faster. Recently, RoboParty established RoboParty Lab (RPLab) and introduced Party OS, an open-source embodied intelligence R&D foundation for next-generation humanoid robots. Alongside this, they released three R&D infrastructures: MimicLite, UFO, and hhtools. This move signifies a transition from merely demonstrating capabilities to building a robust R&D ecosystem that fosters collaboration and scalability within the developer community. As humanoid robots move from laboratories to practical applications in factories, warehouses, and homes, the industry is shifting its focus toward creating a reproducible, collaborative, and scalable R&D system. The emphasis is now on sustaining and accelerating development capabilities, marking a significant change in industry dynamics over the past year.

Humanoid Robots R&D Infrastructure Open Source Embodied AI Robot Development Tools
NVIDIA and Hugging Face Collaborate to Enhance LeRobot Open Source Community with Physical AI

NVIDIA and Hugging Face Collaborate to Enhance LeRobot Open Source Community with Physical AI

NVIDIA and Hugging Face have joined forces to enhance the LeRobot open-source robotics library by integrating NVIDIA's Isaac GR00T 1.7 and Isaac Teleop frameworks. This partnership, announced recently, seeks to streamline the robot development process for developers by offering a comprehensive, standardized open-source pathway that encompasses everything from data collection to deployment. The initiative is designed to significantly reduce the barriers to entry for developers venturing into physical AI development, making it more accessible and efficient.

Robotics Open Source AI Machine Learning Simulation
Ant Group Launches Open Source LingBot-Vision: A Breakthrough in Robotic Vision Technology

Ant Group Launches Open Source LingBot-Vision: A Breakthrough in Robotic Vision Technology

Ant Group's Robbyant has introduced the LingBot-Vision model, a groundbreaking visual perception technology designed for robots. This innovative model, which operates with just 1.1 billion parameters, significantly outperforms traditional systems in depth estimation and object boundary recognition. By enhancing robots' ability to comprehend intricate environments, LingBot-Vision represents a major leap forward in the field of embodied intelligence. The technology has been made available as open-source, fostering further advancements and collaboration within the robotics community.

Robotic Vision Depth Perception AI Technology Open Source Embodied Intelligence
NVIDIA Releases Major Collection of Open Source Agent Tools and Skills for Physical AI

NVIDIA Releases Major Collection of Open Source Agent Tools and Skills for Physical AI

NVIDIA has unveiled a significant suite of open-source physical AI skills and tools aimed at empowering developers to transform intricate robotics, autonomous vehicle (AV), vision AI, and industrial digital twin workflows into tasks that can be executed by agents. This announcement was made today and is part of NVIDIA's ongoing commitment to enhance the capabilities of AI in various sectors. By streamlining these complex processes, the company seeks to facilitate innovation and efficiency in the development of advanced technologies. The initiative is expected to drive progress in fields that rely heavily on automation and intelligent systems, thereby contributing to the broader adoption of AI solutions across industries.

National Initiative: Why Leading Companies Like Leju, Ant Group, and Yushu Are Joining the Embodied Open Source Dataset Community

National Initiative: Why Leading Companies Like Leju, Ant Group, and Yushu Are Joining the Embodied Open Source Dataset Community

China has launched its first open-source dataset community focused on embodied intelligence, a move designed to tackle the critical shortage of high-quality operational data essential for the development of humanoid robots. This initiative, backed by the Ministry of Industry and Information Technology, aims to standardize data governance and foster greater collaboration within the robotics industry. By creating a centralized platform for data sharing, the community seeks to enhance the capabilities of humanoid robots and accelerate advancements in the field.

Humanoid Robots Open Source Data AI Data Governance
Toyota Open Sources Complete Pipeline for Training Robot Brains

Toyota Open Sources Complete Pipeline for Training Robot Brains

The Toyota Research Institute has announced the open-source release of its VLA Foundry, a comprehensive framework designed for training visual-language-action models in robotics. This initiative, unveiled recently, aims to streamline the training process for researchers by providing a unified system that tackles the prevalent issue of fragmented training methodologies in the field. By enabling researchers to begin from the ground up and execute the entire training process, the VLA Foundry seeks to enhance collaboration and innovation within the robotics community. This move reflects Toyota's commitment to advancing robotics technology and fostering a more integrated approach to model training.

Robot Training Open Source AI Models Robotics
Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community

Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community

Artificial intelligence (AI) has quickly become a vital component in contemporary computing, with many enterprises relying on Kubernetes, an open-source platform, to manage this demanding workload. Kubernetes automates the deployment, scaling, and management of containerized applications, making it an essential tool for organizations looking to harness the power of AI effectively. As businesses increasingly integrate AI into their operations, the need for robust and scalable infrastructure has never been more critical. This shift highlights the growing importance of Kubernetes in supporting AI initiatives, enabling companies to streamline processes and enhance productivity. The trend is expected to continue as more enterprises adopt AI technologies, further solidifying Kubernetes' role in the evolving landscape of modern computing.

MWC 2026: Huawei to open source A2A-T telecom agent protocol software

MWC 2026: Huawei to open source A2A-T telecom agent protocol software

Huawei has announced plans to launch an open-source project for software supporting the A2A-T (Agent-to-Agent for Telecom) protocol at the Mobile World Congress (MWC) 2026. This initiative aims to encourage the adoption of telecom-grade agent communication standards throughout the industry. The A2A-T protocol, which was developed in collaboration with industry partners, is designed to establish a unified interaction framework for telecom services. By promoting this standard, Huawei seeks to enhance interoperability and streamline communication processes within the telecommunications sector.

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NYU's Open Source RUKA Hand Promises High Dexterity on a Budget

NYU's Open Source RUKA Hand Promises High Dexterity on a Budget

Researchers at New York University have unveiled RUKA, an innovative, low-cost robotic hand designed for dexterous manipulation, priced at approximately $1,300. This anthropomorphic device utilizes tendon-driven underactuation combined with a learning-based controller to deliver impressive performance. The project aims to advance the field of robotics by making sophisticated technology more accessible, as it has been fully open-sourced to encourage further research and development in dexterous manipulation. The initiative reflects a commitment to democratizing technology, allowing a broader range of researchers and developers to explore and enhance robotic capabilities.

Microsoft’s open source tools were hacked to steal passwords of AI developers

Microsoft’s open source tools were hacked to steal passwords of AI developers

Microsoft has taken the precautionary measure of shutting down multiple GitHub code repositories associated with its Azure and AI coding tools following a reported security breach. The decision, made in response to the hack, aims to protect sensitive information and maintain the integrity of its development platforms. The shutdown occurred recently, although the exact date has not been disclosed. This action underscores the company's commitment to cybersecurity and the importance of safeguarding its technological assets. Microsoft is currently investigating the incident to assess the extent of the breach and to implement further security measures to prevent future attacks.

Security Claude cybersecurity data breach gemini GitHub
Qing Tong Vision Launches MotionDecode Data Open Plan: 1000-Hour Motion Capture Dataset Now Open Source

Qing Tong Vision Launches MotionDecode Data Open Plan: 1000-Hour Motion Capture Dataset Now Open Source

Qing Tong Vision has launched the MotionDecode Data Open Plan, offering free access to a comprehensive 1,000-hour high-quality human motion dataset. This initiative, announced recently, is designed to enhance the development of humanoid robots and promote embodied intelligence by reducing research barriers and encouraging collaboration within the data ecosystem. The program is expected to support a wide range of applications, including robot training and motion generation, representing a pivotal advancement in the industrialization of embodied intelligence.

Motion Capture Embodied Intelligence Humanoid Robots Data Open Source AI Training Data
Daxiao Robotics Releases Open Source 3D Dataset for Chinese Home Designs, Challenging Figure AI

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
Open Source and Collaboration for Mutual Benefit: Beijing Humanoid Launches Open Ecosystem Plan to Build a Benchmark for Embodied Intelligence

Open Source and Collaboration for Mutual Benefit: Beijing Humanoid Launches Open Ecosystem Plan to Build a Benchmark for Embodied Intelligence

The Beijing Humanoid Robotics Innovation Center has launched an open ecosystem initiative designed to enhance collaboration in embodied intelligence. Announced recently, this initiative aims to promote community development, facilitate collaboration on core components, and provide standardized testing services. By addressing key industry challenges, the center seeks to drive innovation within the robotics sector. This strategic move reflects the center's commitment to fostering a cooperative environment that encourages advancements in technology and supports the growth of the robotics community.

Embodied Intelligence Open Source Robotics Industry Standards Collaborative Innovation
K-Scale Labs: Betting on Open Source for the Future of Humanoid Robotics

K-Scale Labs: Betting on Open Source for the Future of Humanoid Robotics

K-Scale Labs, a startup based in Palo Alto, is generating significant attention in the tech community by open-sourcing its humanoid robot hardware and software. This bold move has ignited discussions regarding the future development of general-purpose robots. The company's strategy emphasizes collaboration and innovation, allowing developers and researchers to build upon their foundational work. By making their technology accessible, K-Scale Labs aims to accelerate advancements in robotics and foster a more inclusive environment for creators in the field. The implications of this open approach could reshape the landscape of robotics, encouraging a diverse range of applications and solutions. As the industry watches closely, K-Scale Labs is positioning itself as a key player in the evolution of humanoid robotics.

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Ant Group Releases Open Source LingBot-VLA 2.0 with 60,000 Hours of Real-World Data

Ant Group Releases Open Source LingBot-VLA 2.0 with 60,000 Hours of Real-World Data

On July 8, Ant Group unveiled the upgraded LingBot-VLA 2.0 model, which has been enhanced through the integration of 60,000 hours of high-quality real-world data. This latest version offers improved support for a variety of robot configurations and degrees of freedom, leading to increased efficiency and performance in both dual-arm operations and mobile tasks. The model has been made accessible to developers via platforms such as Hugging Face and GitHub, promoting wider collaboration and innovation in robotics.

Robotics AI Open Source Machine Learning
SpaceX inks compute deal with Reflection AI, an open source AI lab

SpaceX inks compute deal with Reflection AI, an open source AI lab

Reflection AI has announced a significant investment in Nvidia's technology, committing to pay $150 million monthly starting July 1, 2026, through 2029. This deal will grant the company immediate access to Nvidia's latest GB300 AI chips and supporting hardware. The partnership is set to take place at SpaceX's Colossus 2 data center, located near Memphis, Tennessee. This strategic move aims to enhance Reflection AI's capabilities in artificial intelligence, leveraging cutting-edge technology to advance its operations and offerings in the competitive tech landscape.

AI TC reflection ai SpaceX
Unitree's Future Humanoid Strategy: Accelerating Growth through Mass Production and Open Source from Physical Ability to Embodied AI

Unitree's Future Humanoid Strategy: Accelerating Growth through Mass Production and Open Source from Physical Ability to Embodied AI

Unitree, a leading Chinese robotics manufacturer, recently participated in the Humanoids Summit held in Takanawa, Tokyo. The company is currently focusing its growth strategy on humanoid robots and embodied AI. During the summit, representatives from Unitree delivered a presentation outlining their vision and advancements in these cutting-edge technologies, highlighting their commitment to innovation in the robotics field.

Beijing Humanoid Holds Robot Half Marathon Cooperation Delivery Ceremony to Explore the Limits of Embodied Intelligent Technology with Open Source Ecology

Beijing Humanoid Holds Robot Half Marathon Cooperation Delivery Ceremony to Explore the Limits of Embodied Intelligent Technology with Open Source Ecology

The Beijing Humanoid Robot Innovation Center, designated as China's "national team" for embodied intelligent robots, is spearheading advancements in core technologies and developing an independent industrial ecosystem. Since its establishment, the center has focused on aligning with national strategies to enhance China's global competitiveness. Recently, it inaugurated a data and training base for embodied intelligent robots, marking a pivotal step beyond physical capabilities. This initiative aims to position China as a leader in data strategy within the emerging field of embodied intelligence. The center is set to provide extensive, high-quality data infrastructure essential for the industry, while also leading the creation of China's first standards for data collection in this domain. By offering specialized services and generating valuable data, the center is poised to facilitate the integration of humanoid robots into various sectors and households. This effort is expected to accelerate the development of new productive forces and foster technological self-reliance in China. As the landscape of artificial intelligence evolves from "perceptual intelligence" to "embodied intelligence," the demand for high-quality data becomes increasingly critical to drive innovation and growth in the sector.

Robotics Automation AI
The World's Largest Embodied Haptic Dataset Launched: Daimon-Infinity - Open Source with 10x Training Efficiency!

The World's Largest Embodied Haptic Dataset Launched: Daimon-Infinity - Open Source with 10x Training Efficiency!

In 2026, Daimon Robotics introduced the Daimon-Infinity dataset, which is recognized as the largest dataset of its kind, encompassing multimodal haptic data. This initiative, developed in collaboration with prominent research institutions, seeks to improve robotic tactile perception, a crucial aspect for advancing fine motor skills training in robotics. The dataset addresses a significant gap in haptic data availability, which is essential for enhancing the capabilities of robots in performing delicate tasks.

Haptic Technology Robotics AI Data Science
ZhiYuan VISTA: The Industry's First Open Source World Model + VLA Framework

ZhiYuan VISTA: The Industry's First Open Source World Model + VLA Framework

The ZhiYuan VISTA framework has unveiled a revolutionary solution aimed at addressing the challenges of robotic generalization. By integrating a world model with Vision-Language-Action (VLA) capabilities, this innovative framework significantly improves performance in real-world applications. Achieving a success rate of 69% in out-of-distribution tasks, the ZhiYuan VISTA framework demonstrates its effectiveness even with limited data. This advancement marks a significant step forward in the field of robotics, potentially transforming how robots interact with and adapt to diverse environments.

Robotics AI Machine Learning Computer Vision
Leading Inference Providers Cut AI Costs by up to 10x With Open Source Models on NVIDIA Blackwell

Leading Inference Providers Cut AI Costs by up to 10x With Open Source Models on NVIDIA Blackwell

In a groundbreaking development in artificial intelligence, various sectors are harnessing the power of tokens to enhance user interactions. From providing diagnostic insights in healthcare to facilitating character dialogues in interactive gaming and enabling autonomous resolutions in customer service, these AI-driven applications are revolutionizing how industries engage with users. This shift is occurring as organizations seek to improve efficiency and user experience by leveraging advanced AI technologies. The integration of tokens allows for seamless communication and problem-solving, showcasing the versatility of AI across different fields. As of October 2023, this trend is expected to continue evolving, further embedding AI into everyday interactions and services.

From Pilot to Profit: Survey Reveals the Financial Services Industry Is Doubling Down on AI Investment and Open Source

From Pilot to Profit: Survey Reveals the Financial Services Industry Is Doubling Down on AI Investment and Open Source

Artificial intelligence is increasingly transforming the financial services sector by automating critical processes such as algorithmic trading and enhancing fraud detection capabilities. As of October 2023, banks are leveraging AI technologies to improve their risk management practices and streamline operations. This shift is driven by the need for greater efficiency and accuracy in financial transactions, enabling institutions to respond more swiftly to market changes and regulatory requirements. The integration of AI not only aids in identifying potential fraudulent activities and money laundering but also optimizes trading strategies, ultimately leading to better financial outcomes.

Amazon FAR Open Sources Holosoma to Unify Humanoid Simulation and Training

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
NVIDIA Details Open-Source GR00T N1 Foundation Model and Hover Controller for Humanoids

NVIDIA Details Open-Source GR00T N1 Foundation Model and Hover Controller for Humanoids

At the Marktechpost miniCON Open Source AI 2025, NVIDIA Research Scientist Yuke Zhu unveiled Project GR00T, which focuses on a simulation-first strategy for developing generalist foundation models tailored for humanoid robots. The initiative includes the launch of the open-source GR00T N1 multimodal model and the Hover whole-body controller. These innovations aim to enhance cross-embodiment capabilities and expedite development processes for NVIDIA's robotics partners. This presentation highlights NVIDIA's commitment to advancing robotics technology through collaborative and open-source efforts.

NVIDIA open-source hover GR00T
NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community

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 ...

Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron

Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron

Palantir Technologies unveiled its latest intelligent engine today, emphasizing the significance of open source innovation in the development of artificial intelligence for U.S. government agencies. This new engine leverages NVIDIA's Nemotron open models, highlighting a commitment to utilizing open source software, which has been a foundational element in the evolution of technology. The introduction of this engine aims to enhance the capabilities of government operations by providing advanced AI solutions tailored to meet their specific needs. By integrating open source resources, Palantir seeks to foster collaboration and drive innovation within the AI sector, ultimately benefiting public sector initiatives.

Launch of Robo-ValueRL: The First Open-Source VLA Reinforcement Learning Framework for Robotics

Launch of Robo-ValueRL: The First Open-Source VLA Reinforcement Learning Framework for Robotics

The Beijing Humanoid Robot Innovation Center and Renmin University of China's Gaoling Artificial Intelligence Institute have launched the Robo-ValueRL open-source framework. This initiative aims to enhance humanoid robots' decision-making capabilities in precision tasks, such as semiconductor assembly, by addressing challenges in data quality, control precision, and adaptability in dynamic environments. Robo-ValueRL introduces a value estimation mechanism based on historical observations, enabling robots to autonomously assess their actions. This closed-loop learning process—observation, value estimation, correction, and iteration—allows for improved accuracy and reduced instability in operations. The framework is fully open-source, providing access to core algorithms, evaluation tools, and standardized protocols for universities, research institutions, and manufacturers. The open-source nature of Robo-ValueRL significantly lowers the barriers for small and medium-sized manufacturers to implement reinforcement learning in specialized fields like semiconductor production and medical device manufacturing. This development marks a shift in humanoid robotics from laboratory experiments to practical industrial applications, paving the way for robots to evolve their decision-making capabilities independently.

Humanoid Robots Reinforcement Learning Precision Manufacturing Open Source Technology
NASA and Rice University Launch Open-Source Simulator for Space Robotics Research

NASA and Rice University Launch Open-Source Simulator for Space Robotics Research

Rice University and NASA have introduced the iMETRO Dynamic Simulation, the first open-source platform for developing robots for spacecraft and habitats. Unveiled at the 2026 IEEE International Conference on Robotics and Automation in Vienna, this simulator creates a digital twin of NASA's iMETRO facility, enabling global researchers to test intravehicular robotic systems in a virtual setting. This platform is significant as it broadens access to advanced space robotics research, facilitating innovation for future human space missions. It focuses on robot manipulators that assist with maintenance and logistics tasks, which are crucial for reducing astronaut workloads during extended missions. The simulator features an eight-degree-of-freedom robotic manipulator model and supports ROS 2 and MuJoCo, enhancing usability and compatibility for developers. Looking ahead, the iMETRO Dynamic Simulation aims to maximize astronaut productivity by automating routine tasks, allowing crew members to focus on scientific exploration. The research team successfully demonstrated the simulator's capabilities by transferring a robotic application from simulation to the physical facility in under a day. No further timeline was disclosed at the time of publication.

AI and Robotics
Microsoft announces Android-based AI agent platform "Solara" and showcases Snapdragon-powered badge device.

Microsoft announces Android-based AI agent platform "Solara" and showcases Snapdragon-powered badge device.

At the recent Build 2026 conference, Microsoft unveiled a new platform called Project Solara, designed specifically for executing AI agents. Unlike traditional operating systems, this platform is based on AOSP (Android Open Source Project). In collaboration with Qualcomm, Microsoft introduced a device resembling an employee badge, as well as a stationary device developed in partnership with MediaTek. The company has initiated pilot programs with major enterprises to test these innovations.

CENTCOM Commander Dismisses Reports That Iran Retains Most Of Its Missile And Drone Arsenal

CENTCOM Commander Dismisses Reports That Iran Retains Most Of Its Missile And Drone Arsenal

Admiral Brad Cooper, the commander of U.S. Central Command (CENTCOM), has challenged the accuracy of recent reports suggesting that Iran has retained a significant portion of its missile and drone arsenal. In a statement, Cooper emphasized that the figures circulating in open sources do not reflect the true state of Iran's military capabilities. This assertion comes amid ongoing scrutiny of Iran's military resources and their potential implications for regional security. The remarks were made during a briefing, highlighting the complexities of assessing Iran's military strength in the context of geopolitical tensions.

News & Features Around The Globe China Indo-Pacific Iran Israel
Menlo Research Open-Sources Asimov v1, Releasing CAD and Simulation Files for "The Rest of Us"

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
ROBOTIS Enters the Open-Source Humanoid Arena with "AI Sapiens" K0 Platform

ROBOTIS Enters the Open-Source Humanoid Arena with "AI Sapiens" K0 Platform

ROBOTIS, a leading manufacturer of legacy actuators, has introduced AI Sapiens, a fully open-source humanoid robot measuring 1.3 meters tall. This innovative robot is equipped with advanced Quasi-Direct Drive actuators and aims to cater to the expanding market for reproducible "Physical AI" research. The launch of AI Sapiens highlights the company's commitment to advancing robotics technology and supporting researchers in the field. By providing an open-source platform, ROBOTIS facilitates collaboration and experimentation among scientists and developers, fostering innovation in artificial intelligence and robotics.

ROBOTIS South Korea open-source AI Sapiens
NVIDIA Open-Sources DreamDojo: A 44,000-Hour "Dream" to Solve the Robotics Data Gap

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
120 Days to a Run: RoboParty Open-Sources Its "ROBOTO ORIGIN" Humanoid Baseline

120 Days to a Run: RoboParty Open-Sources Its "ROBOTO ORIGIN" Humanoid Baseline

RoboParty has unveiled the complete designs and software for its inaugural bipedal humanoid robot, marking a significant advancement in open-source robotics. This initiative aims to create a new era of "reproducible" robotics, addressing the financial challenges that have historically hindered similar projects. By providing accessible resources, RoboParty hopes to democratize the development of humanoid robots, enabling a broader range of innovators to participate in this field. The release is expected to foster collaboration and innovation, potentially accelerating advancements in robotics technology.

open-source China ROBOTO ORIGIN RoboParty
Reborn and Unitree Team Up to Accelerate Humanoid AI with Open-Source Roboverse

Reborn and Unitree Team Up to Accelerate Humanoid AI with Open-Source Roboverse

Unitree Robotics has announced plans to implement Reborn's Roboverse infrastructure in a strategic move aimed at accelerating artificial intelligence development for its humanoid robots. This initiative, which is expected to enhance the capabilities of their machines, will also promote the establishment of an open-source community. By fostering collaboration among developers and researchers, Unitree aims to create more intelligent and adaptable robotic solutions. The deployment of this infrastructure is anticipated to take place in the coming months, marking a significant step forward in the robotics industry.

G1 H1 reborn Unitree Robotics roboverse open-source
Hugging Face Introduces Open-Source Humanoid HOPEJr and Desktop Robot Reachy Mini

Hugging Face Introduces Open-Source Humanoid HOPEJr and Desktop Robot Reachy Mini

Hugging Face has unveiled two innovative open-source robots designed to enhance accessibility in AI development. The first, HOPEJr, is a fully humanoid robot priced under $3,000, developed in collaboration with The Robot Studio. The second, Reachy Mini, is a desktop head created by the Pollen Robotics team. This launch, which aims to democratize robotics technology, reflects Hugging Face's commitment to making advanced robotics more affordable and user-friendly for developers and researchers alike.

open-source pollen-robotics hugging-face the-robot-studio
Fourier Intelligence Launches N1 Humanoid Robot with Open-Source Strategy

Fourier Intelligence Launches N1 Humanoid Robot with Open-Source Strategy

Fourier Intelligence has unveiled the N1, a 1.3-meter tall humanoid robot designed specifically for developers and researchers. The launch, which took place recently, emphasizes an open-source model that allows users to access blueprints, software code, and build instructions. This initiative aims to cultivate a community ecosystem that encourages collaboration and accelerates advancements in motion control and artificial intelligence integration. By providing these resources, Fourier Intelligence hopes to inspire innovation and facilitate the development of new applications in robotics.

open-source fourier-n1 Fourier Intelligence fourier
Carnegie Mellon University Develops Open-Source Framework for AI Deployment in Robotics

Carnegie Mellon University Develops Open-Source Framework for AI Deployment in Robotics

Researchers at Carnegie Mellon University have created an open-source software framework aimed at streamlining the deployment of AI systems across various robots. This framework significantly reduces the time spent on setup, which can often take weeks or months, allowing researchers to focus on testing new behaviors more efficiently. The significance of this development lies in its potential to enhance collaboration and innovation in robotics. By eliminating the need to rebuild software for each robot, the framework facilitates easier integration of AI technologies, potentially accelerating advancements in robotic capabilities and applications. Looking ahead, the framework's adoption could lead to broader implications for the robotics field, including increased interoperability among different robotic systems. No further timeline was disclosed at the time of publication regarding additional features or updates to the framework.

Robotics
NVIDIA and Hugging Face Enhance LeRobot with New AI Models and Frameworks

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.

AI and Robotics
NVIDIA and Hugging Face integrate AI model "GR00T 1.7" into open-source robot development platform "LeRobot."

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.

Open-source swarm robotics: Custom ESP32 MiniBots turn chess pieces into autonomous robots

Open-source swarm robotics: Custom ESP32 MiniBots turn chess pieces into autonomous robots

A hardware developer known as 3DprintedLife has introduced an innovative open-source swarm robotics project aimed at advancing collaborative robotics technology. The announcement was made recently, showcasing the potential for multiple robotic units to work together efficiently in various applications. This initiative is designed to encourage community involvement and innovation in robotics, allowing developers and enthusiasts to contribute to and enhance the project. By providing accessible resources and documentation, 3DprintedLife hopes to foster a collaborative environment that could lead to significant advancements in the field. The project is expected to attract interest from both amateur and professional roboticists, as it emphasizes the importance of shared knowledge and collective problem-solving in technology development.

AI and Robotics
UCLA Develops Open-Source Tactile Robot Hand for $3000

UCLA Develops Open-Source Tactile Robot Hand for $3000

Researchers at UCLA's RoMeLa lab have unveiled the MIDAS Hand, an innovative open-source robotic hand designed to enhance robotic manipulation capabilities. Weighing 700 grams and priced at approximately $3,000, the MIDAS Hand is equipped with tactile sensing and a low-impedance direct drive structure, allowing it to execute intricate tasks such as using scissors and repositioning objects. This development aims to reduce barriers for researchers and experimenters in the field of robotics, facilitating advancements in manipulation technology. The introduction of the MIDAS Hand represents a significant step forward in making sophisticated robotic tools more accessible for research and experimentation.

Robotic Hands Tactile Sensing Open-Source Robotics Robotics Research
ZhiYuan Releases First Open-Source Dataset for World Models Focused on Rich Interaction

ZhiYuan Releases First Open-Source Dataset for World Models Focused on Rich Interaction

On June 3, 2026, ZhiYuan unveiled the second phase of the AGIBOT WORLD 2026 dataset, which centers on the theme of 'Rich Interaction.' This innovative open-source dataset is pioneering in its focus on physical interactions, meticulously documenting both successful and unsuccessful scenarios between robots and their environments. By offering a comprehensive range of data, the initiative seeks to improve world model training, thereby advancing the capabilities of robotic understanding and physical intelligence. This development marks a significant step forward in the field of robotics, as it aims to better equip machines to navigate complex real-world situations.

World Models Robotic Interaction Physical Intelligence Open-Source Datasets
Launch of Mini Pi Plus Open-Source Humanoid Robot at ICRA 2026

Launch of Mini Pi Plus Open-Source Humanoid Robot at ICRA 2026

At the ICRA 2026 conference, Gaoqing Power introduced the Mini Pi Plus, a groundbreaking humanoid robot designed to enhance accessibility and affordability for research and educational purposes. Weighing just 15 kg, the Mini Pi Plus boasts a comprehensive open-source ecosystem and a powerful toolchain, allowing researchers to concentrate on innovation without the typical setup hurdles. This advanced platform features dynamic movement capabilities and a high-performance communication architecture, marking a significant advancement in the field of humanoid robotics.

Humanoid Robots Open-Source Robotics Robot Research AI Robotics Education
Open-Source Software Is Starting to Help Robots Think

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
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Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.