French industrial group with subsidiaries in defense, security, energy, and medical sectors. Defense division develops surveillance electronics, communication systems, and simulation equipment for military platforms. Limited direct autonomous robotics involvement; primarily supplies defense electronics and optronics.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
On July 2, Microsoft released version 150.0.4078.48 of Microsoft Edge for desktop, introducing support for Google account sign-ins on both Windows and macOS. This update allows users to log in using either a Microsoft or Google account, enhancing accessibility for users. IT administrators can manage this feature through a new policy called 'NonMicrosoftAccountSignInEnabled'. The significance of this update lies in its potential to streamline user experience and broaden the browser's appeal. By allowing Google account integration, Microsoft Edge aims to attract users who prefer Google's ecosystem, thereby increasing its market share. Additionally, version 150 will be the last to support macOS 13 Monterey, as future updates will require macOS 12 Ventura or later. On July 9, OpenAI officially launched its new AI model series, GPT-5.6, following a limited preview. This series includes three tiers: Sol, Terra, and Luna, each optimized for different performance and cost metrics. The rollout of GPT-5.6 is expected to enhance capabilities in various applications, including coding and cybersecurity, with pricing structured to appeal to a wide range of users. No further timeline was disclosed at the time of publication.
Chinese AI company Robbyant has launched LingBot-Depth 2.0, a next-generation spatial perception model designed to enhance robotic navigation in complex environments. This model builds on the previous LingBot-Depth, utilizing the Masked Depth Modeling technique and trained on 150 million samples, achieving top results in 12 out of 16 depth completion benchmarks. Notably, it reduces depth error by over 50%, improving accuracy in challenging indoor settings. The significance of LingBot-Depth 2.0 lies in its ability to accurately perceive transparent and reflective surfaces, areas where traditional depth cameras often struggle. The model's advancements are attributed to LingBot-Vision, a visual foundation model that employs a unique “boundary structure” pre-training objective, enabling sub-pixel-level boundary localization. Despite being trained on a smaller dataset of 160 million images, it demonstrates robust performance across various robotic vision applications, enhancing object boundary detection and tracking. Looking ahead, Robbyant's collaboration with Orbbec aims to integrate LingBot-Depth 2.0 into new hardware solutions for robotics data collection. The RGB-D EGO device, part of Orbbec’s Robot-Free Data Collection Hardware Platform, will feature a customized version of the model. Future updates are expected to further enhance depth completion and spatial structure understanding, providing a solid foundation for training embodied AI systems in real-world scenarios. No further timeline was disclosed at the time of publication.
AI and RoboticsBayCare, the largest not-for-profit academic health-care system in West-Central Florida, has announced a partnership with Zipline to establish a drone delivery network. This system is expected to be operational by late 2027, initially focusing on high-volume hospital and laboratory locations in the St. Petersburg/Clearwater area. The network will facilitate the delivery of medical supplies and equipment between BayCare facilities, with plans to expand to patient homes in the future. The collaboration aims to enhance the speed and efficiency of transporting critical health-care items, addressing the needs of BayCare's extensive network of 16 hospitals and numerous other facilities. Zipline's drones are designed to operate autonomously, making precise deliveries even in adverse weather conditions. This initiative is expected to reduce delivery-related emissions and traffic congestion while providing a reliable service for time-sensitive items. Looking ahead, the project will begin with select BayCare facilities in Pinellas County, where the concentration of patient activity is highest. Future expansions across the entire Tampa Bay area are planned, although no further timeline was disclosed at the time of publication. The partnership leverages Zipline's FAA Part 135 air carrier certification, enabling BVLOS flights for commercial deliveries.
Applications Delivery Drone News Drone News Feeds News autonomous deliverySyensqo, a global aerospace company, is expanding its Havre de Grace facility to enhance its manufacturing capabilities by over 30%. This multi-million-dollar investment aims to strengthen the company's U.S. manufacturing footprint and support the growing demand for advanced material solutions in aerospace, defense, and automotive sectors. The expansion focuses on producing high-performance structural adhesives and surfacing products, crucial for commercial aerospace and space exploration applications. The significance of this expansion lies in Syensqo's commitment to supplying high-performance materials that contribute to safer and more sustainable products across various industries. By reinforcing its global manufacturing network, the company aims to improve supply reliability and efficiency, addressing the increasing customer demand for adhesive and bonding materials. This move is part of Syensqo's broader strategy to lead in advanced materials and sustainable specialty chemicals, particularly in the aerospace sector, which is its largest market. Looking ahead, Syensqo's expansion at the Havre de Grace site marks a pivotal milestone in its growth trajectory. The company is expected to accelerate its efforts in supporting customers as they scale production, particularly in high-performance materials. No further timeline was disclosed at the time of publication, but the investment aligns with Syensqo's ongoing initiatives in electric vehicle batteries and clean energy technologies.
ScienceGulfstream Aerospace has successfully conducted a high-altitude flight test campaign using a G800 business jet powered entirely by neat sustainable aviation fuel (SAF). The tests, which took place at altitudes up to 50,000 feet, marked the first instance of both the G800 and its Rolls-Royce Pearl 700 engine operating on 100% SAF. A modified Gulfstream G700 served as an airborne emissions laboratory, enabling researchers to measure particulate emissions and atmospheric conditions during the flights. This initiative is significant as it aims to assess the potential of 100% SAF in reducing emissions linked to contrail formation, a critical factor in aviation's environmental impact. Preliminary findings suggest a measurable reduction in particulate emissions when using neat HEFA SAF, which contains no sulfur or aromatics, unlike conventional jet fuels. The collaboration involved multiple organizations, including NASA and the FAA’s ASCENT, highlighting the importance of partnerships in advancing sustainable aviation technologies. Looking ahead, Gulfstream's ongoing research will continue to focus on optimizing environmental efficiencies in aviation. The data collected from this campaign is expected to enhance understanding of aviation's broader environmental impact and contribute to future regulatory and technological developments. No further timeline was disclosed at the time of publication.
InnovationKUKA, a leading robotics provider for the automotive sector, is responding to increasing inquiries regarding the updated ISO 10218 safety standard. This standard, which will become mandatory under the new European Machinery Regulation by 2027, is crucial for CE-marked industrial robots. The transition may be delayed due to weak manufacturing demand and cost pressures on SMEs, raising concerns about supplier readiness. The significance of the ISO 10218:2025 update lies in its potential to enhance the competitive position of established vendors while posing market access risks for less prepared suppliers. The current Machinery Directive will be replaced by the Machinery Regulation EU 2023/1230, effective January 20, 2027. However, the timeline for the formal listing of the new standard in the Official Journal of the European Union remains uncertain, which could impact compliance timelines for manufacturers. In the U.S., the updated R15.06-2025 safety standard, released in September 2025, aligns with international standards but remains voluntary. Despite this flexibility, major customers often require compliance, and non-adherence can lead to penalties. As the European market faces subdued demand, suppliers that effectively manage the transition to the new safety standards will be better positioned to meet the needs of a safety-conscious customer base as demand recovers.
Manufacturing News Opinion Regulatory & Compliance Safety & Security association for advancing automationSoftServe has highlighted the importance of 'virtual gyms' for robotics teams, emphasizing their role in preparing robots for dynamic environments. These high-fidelity simulation environments allow robots to train, fail, and recover safely before real-world deployment, addressing the challenges posed by unpredictable operational conditions. The global robotics market is projected to grow at a 19.6% CAGR from 2026 to 2036, underscoring the need for effective training solutions like virtual gyms to enhance robotic autonomy and performance. The shift from programmed automation to physical AI necessitates that robots adapt to constantly changing environments, which traditional training methods struggle to accommodate. Virtual gyms integrate technologies such as digital twins, reinforcement learning, and sensor modeling to provide a comprehensive training platform. This approach mitigates the risks and costs associated with real-world trials, enabling teams to generate valuable training data in a controlled setting, thus improving deployment success rates. Looking ahead, the adoption of virtual gyms is expected to become a standard practice in robotics development, as they offer a solution to the simulation-to-reality gap. No further timeline was disclosed at the time of publication, but the increasing complexity of robotic tasks suggests that the demand for such training environments will continue to rise as the industry evolves.
Artificial Intelligence Artificial Intelligence / Cognition Autonomous Mobile Robots (AMRs) Development Tools / SDKs / Libraries Industrial Robots LogisticsResearchers from MIT and EPFL have created a flapping robot capable of transitioning between water and air without legs. Weighing approximately 250 grams, the robot features a streamlined body, two flexible wings, and a controllable tail. It can flap its wings at frequencies of up to 6 Hz underwater and 5.2 to 11 Hz in the air, mimicking the behavior of diving birds, as detailed in a recent Science publication. This innovation is significant as it addresses the complex physical challenges of transitioning from water to air, a feat that most diving birds achieve with the aid of their legs. The robot's flexible wings reduce drag and allow for a higher flapping frequency underwater compared to rigid wings. This design not only enhances its swimming efficiency but also aligns with biological observations of diving birds, providing insights into their locomotion strategies. Looking ahead, the research team is exploring optimal wing configurations and has tested various sizes and stiffnesses. Future experiments will focus on the robot's ability to transition from water to air solely through wing flapping, a critical milestone that could reveal more about the mechanics of avian flight and inspire advancements in robotic design. No further timeline was disclosed at the time of publication.
Flapping Robots Aerial Robotics Aquatic Robotics Bio-inspired EngineeringOn July 9, 2026, 1X, a unicorn supported by OpenAI, unveiled the Neo robotic hand designed for humanoid robots. This advanced hand boasts 25 degrees of freedom, enabling it to perform a wide range of human-like tasks, such as delicately picking grapes without crushing them and lifting weights up to 20 pounds. The innovative design incorporates a tendon-driven system that enhances dexterity and responsiveness. The significance of the Neo robotic hand lies in its unique 'Force Transparency' technology, which allows for bidirectional communication between the hand and its environment. Unlike traditional robotic hands that operate with high gear ratios, the Neo hand utilizes a low gear ratio of approximately 5:1 to 15:1, enabling it to provide real-time feedback on applied forces. This design not only enhances the hand's functionality but also improves the training of AI models by providing rich physical interaction data. Looking ahead, while the Neo hand addresses fundamental perception challenges, real-world complexities remain a concern. The hand must operate effectively in various domestic environments, where it may encounter grease, sauces, or dust. Ensuring safety during interactions with children and maintaining functionality in challenging conditions will be critical for the widespread adoption of this technology. No further timeline was disclosed at the time of publication.
Robotic Hands Humanoid Robots AI Tactile Sensors Robotics TechnologyRecent advancements in humanoid robotics have led to the development of new testing methods that evaluate how effectively these robots can handle real-world forces. This shift is significant as humanoid robots transition from novelty items to practical tools in various industries, including manufacturing and logistics, where they perform tasks such as lifting heavy boxes and moving furniture. The importance of this testing lies in its ability to measure the robots' capabilities in dynamic environments, ensuring they can operate safely and efficiently alongside human workers. As these robots take on more demanding roles, understanding their physical interactions with the environment becomes crucial for their integration into workplaces, enhancing productivity and safety. Looking ahead, the continued evolution of testing methodologies will be essential for the deployment of humanoid robots in more complex scenarios. No further timeline was disclosed at the time of publication, but ongoing research is expected to yield more robust performance metrics that will guide future developments in this field.
Robotics
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