SIRI is the Italian Association of Robotics and Automation (Associazione Italiana di Robotica e Automazione), organising industry events, competitions, and educational initiatives including the FANUC Robotics Olympics and ABB RobotStudio Cup for Italian industrial automation stakeholders.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
On July 9, Unitree Robotics, a Chinese robotics company, announced the CMG 2026 Humanoid Robot Combat Competition. The event features humanoid robots competing in combat, reminiscent of scenes from the movie 'Real Steel.' A promotional video showcasing training sessions with their humanoid robots, including G1 and H2, was also released. This competition is significant as it highlights the advancements in humanoid robotics, with Unitree Robotics entering the field in 2023 and gaining attention for their G1 robot's impressive capabilities, including acrobatic moves and dance performances. The event aims to mark a new chapter in the co-evolution of humans and robots, as stated by the company. Looking ahead, Unitree Robotics plans to provide more details about the event in the future. The 2026 competition follows a similar event held in 2025, indicating the company's commitment to promoting humanoid robotics and engaging audiences with innovative combat showcases.
ByteDance is venturing into the autonomous driving sector, led by the world model team under Seed, which is part of its strategic research division. This initiative aims to integrate autonomous logistics solutions, leveraging existing technologies and talent from the company’s AI research efforts. The project is currently in its early preparation stages, with ByteDance reportedly engaging with top autonomous driving teams and recruiting skilled professionals in the field. The significance of this move lies in ByteDance's potential to disrupt the autonomous driving industry, especially as the world model has become a technical consensus among leading companies. With its resources and expertise, ByteDance could redefine the landscape of autonomous driving, which is increasingly recognized as a critical application of embodied AI. The company has previously expressed interest in automotive technology, indicating a strategic alignment with the growing demand for intelligent driving solutions. Looking ahead, ByteDance's entry into autonomous driving may enhance its capabilities in embodied intelligence by providing access to valuable real-world data. This data could be instrumental in refining its world models, thereby facilitating advancements in embodied AI applications. As the industry evolves, ByteDance's involvement could significantly impact the competitive dynamics of the autonomous driving sector, especially given its substantial resources and talent pool.
MFE Offshore, based in Houston, has announced its partnership with Swiss robotics developer Hydromea to distribute the Hydromea EXRAY underwater inspection ROV. This agreement, made public on July 9, 2026, enhances MFE Offshore's subsea portfolio, which was launched earlier this year. The EXRAY offers a tetherless alternative for underwater inspections, reducing costs and risks associated with traditional methods. The significance of this partnership lies in the EXRAY's ability to provide efficient and safe data collection in challenging underwater environments. As stated by Wendy Post, general manager of MFE Offshore, the demand for advanced inspection technologies is increasing as operators face more complex underwater challenges. The EXRAY's capabilities, including real-time control and live HD video transmission, position it as a valuable tool for energy operators. Looking ahead, MFE Offshore will showcase the EXRAY during a Demo Day on July 16 at its Houston facility, allowing potential customers to see the ROV in action. This event highlights MFE Offshore's commitment to bringing innovative inspection solutions to the energy sector, with no further timeline disclosed at the time of publication.
Drone News Drone News Feeds Inspection News seadrones underwater dronesFactorial Energy, based in Boston, and Tulip Tech from the Netherlands have transitioned from flight testing to the commercialization of lithium-metal UAV battery packs. Announced on July 13, 2026, their strategic partnership aims to expedite the deployment of solid-state and lithium-metal batteries for advanced drones, with initial tests showing over a 30% increase in flight range without engineering optimizations. This collaboration is significant as it addresses the growing demand for high-endurance UAVs across commercial, industrial, and defense sectors, with the global UAV market projected to exceed $160 billion by 2034. Factorial emphasizes that energy storage is a critical bottleneck affecting mission radius, payload, and fleet economics, making their advancements crucial for future drone capabilities. Looking ahead, the partnership establishes a framework for joint customer engagement and a roadmap for volume production. No further timeline was disclosed at the time of publication, but the companies are moving swiftly from testing to commercialization, indicating a strong potential for future developments in UAV battery technology.
battery technology Drone News Drone News Feeds drone parts News $160 billion UAV marketWaze, the navigation app owned by Google, is launching new AI-powered features and customization options. These updates include conversational reporting of road changes and personalized navigation, utilizing Google’s Gemini AI assistant to enhance user experience and compete with services like Apple Maps. The introduction of personalized navigation allows Waze to suggest routes based on a user's trip history and traffic patterns, catering to individual preferences such as highway driving. Users can opt for alternate routes or disable personalization if desired. This feature is currently being rolled out globally on both Android and iOS platforms. Additionally, Waze is launching a Motorcycle mode that leverages AI to provide two-wheeler-specific routes and hazard alerts, with availability in several countries including Argentina and Brazil. The ability to report road updates conversationally is also being implemented, enhancing user interaction with the app. No further timeline was disclosed at the time of publication.
AI Apps Google Maps navigation wazeBoeing announced that the U.S. Navy's MQ-25A Stingray has successfully completed its second test flight, marking significant progress in the development of the Navy's unmanned refueling aircraft. This flight confirmed the drone's flight controls and performance, moving closer to its intended carrier operations. The successful test is crucial as it demonstrates the MQ-25A's autonomous capabilities, including managing propulsion and onboard systems independently. This advancement is expected to enhance the operational range of carrier-based fighter jets and reduce the workload on current refueling teams. Looking ahead, Boeing plans to continue testing at MidAmerica St. Louis Airport, focusing on expanding the aircraft's flight envelope and capabilities. The enhancements made during this flight, including new software updates, are vital for the MQ-25A's future development stages as it aims to become the Navy's first operational carrier-based aerial refueler.
MilitaryProfessor Yang Shuo from Harbin Institute of Technology (Shenzhen) has founded PHANES AI, focusing on human data, tactile perception, and world model research. The startup aims to enable humanoid robots to perform agile full-body movements. A key challenge identified is the gap in current training data, where visual cues do not capture the tactile feedback necessary for successful robotic operations. This initiative is significant as it addresses the limitations of existing robotic training methodologies, which rely heavily on visual data without incorporating tactile information. Recent studies, including NVIDIA's EgoScale, highlight the importance of first-person human operation data in training robots for complex tasks. By leveraging large amounts of human data combined with minimal real-world data, PHANES AI seeks to enhance the success rate of robots in intricate operations. Looking ahead, PHANES AI plans to develop innovative methods for collecting and scaling tactile data through its EgoTouch system, which integrates visual and tactile information. The startup's approach aims to bridge the gap between visual perception and physical interaction, ultimately improving the capabilities of humanoid robots in real-world applications. No further timeline was disclosed at the time of publication.
Humanoid Robots Tactile Perception Robotics AI Data-Centric AILumisition Robotics, founded in February 2026 by a team of experts including a former DJI engineer, has raised approximately 50 million yuan (around $7 million) in angel funding led by Zhengxuan Capital. The funds will primarily support product development, algorithm iterations, and preparations for mass production of their consumer-grade quadruped robots aimed at outdoor applications. The company targets homeowners in Europe and North America, outdoor enthusiasts, and the elderly, focusing on practical applications such as transporting goods over challenging terrains. Unlike many consumer robots that emphasize companionship, Lumisition aims to enhance physical labor capabilities, addressing needs like last-mile transportation in large residential areas. Their product line will include various models suited for urban, light urban, and outdoor environments. Lumisition Robotics plans to conduct outdoor testing in October 2027 and officially launch their product at CES 2027, with mass production expected to begin between April and May 2027. The company is also focused on reducing hardware costs through innovative design and optimization strategies, ensuring competitive pricing while maintaining performance.
Om AI has introduced the VLX series, the world's first edge-based streaming multimodal model for physical AI, designed to integrate continuous perception, precise localization, and decision-making. This innovative architecture, which emerged from years of focused development, positions Om AI at the forefront of the physical AI sector, which has seen over $6.4 billion in funding in the first quarter of 2026 alone. The significance of the VLX series lies in its ability to provide a cohesive framework that allows various physical devices, such as robots, drones, and security cameras, to transition from passive execution to active scene adaptation. This shift is crucial as the industry moves from digital AI to physical AI, with a growing emphasis on real-world applications and the need for robust, responsive systems. Looking ahead, the industry is expected to witness further advancements in physical AI, particularly as the demand for edge-based intelligent systems increases. Om AI's commitment to developing the VLX series reflects a strategic response to the evolving landscape, with no further timeline disclosed at the time of publication for upcoming milestones or product releases.
X Square Robot, a Chinese company focused on embodied AI, is pioneering an integrated stack for general-purpose robots. This stack combines data learning, a world model for predicting physical changes, and an action model that integrates perception, planning, reasoning, and decision-making. The company emphasizes the importance of quality interaction data over sheer quantity, utilizing its Universal Manipulation Interface (UMI) to enhance data collection. The significance of X Square Robot's approach lies in its potential to unify various aspects of robotic intelligence, addressing the fragmented nature of current systems. By prioritizing interaction quality and establishing a closed inspection loop for data validation, the company aims to create a more effective learning environment for robots. This method not only reduces costs but also enhances the reliability of the training data, which is crucial for developing general-purpose robots capable of performing diverse tasks. Looking ahead, X Square Robot's WALL-WM world model represents a shift towards event-based action prediction, allowing for more coherent and context-aware robotic behavior. As the company continues to refine its models and data collection methods, the broader robotics community will be watching for independent validation of its results and the potential implications for the future of general-purpose robotics.
Home-robots Type-sponsored Large-language-models Embodied-intelligence Ai-robots Robot-learning
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