Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Kraken Technology Secures $175 Million in Series B Funding for Autonomous Maritime Platforms
Kraken Technology Group Ltd. has successfully raised $175 million in Series B funding, achieving a valuation of $1 billion. The investment, led by Digital Transformation Capital Partners GmbH, will enhance Kraken's global rollout of autonomous maritime platforms designed for defense applications, including support for NATO and its partners. This funding is significant as it comes after Kraken secured multiple contracts with the U.K. Ministry of Defence and NATO European partners, indicating strong demand for its modular uncrewed surface vessels (USVs) and uncrewed subsurface vessels (USSVs). These platforms are capable of various operations, including data collection and anti-submarine warfare, addressing the urgent needs of modern maritime defense. Looking ahead, Kraken Technology plans to announce new manufacturing partnerships in the Middle East and Indo-Pacific regions, further expanding its production capabilities. The company aims to leverage this funding to enhance its USVs and payload capabilities, responding to the increasing demand for mission-ready maritime solutions.
Defense / Security Investments Maritime Mobility / Navigation News Unmanned Maritime Systems
Yuanluo Technology Unveils First Autonomous Laboratory Utilizing Object-Centric Physics Model
Yuanluo Technology has successfully launched the world's first autonomous laboratory on a national research platform, marking a significant advancement in embodied intelligence. The laboratory's robotic system can autonomously perform over 40 operations, including nucleic acid extraction and cytotoxicity testing, with a precision of less than one millimeter. This achievement demonstrates the robot's capability to execute complex, multi-step tasks continuously for over three hours, addressing challenges in throughput and consistency in biochemical research. This development is crucial as it signifies a shift from demonstration to practical application of embodied intelligence in the biochemical and material science sectors. The Object-centric Physics Native Model (OPN), developed by Yuanluo, enables the robot to understand and adapt to the dynamic conditions of a real laboratory environment. By integrating visual, tactile, and force feedback, the robot can make real-time adjustments, ensuring stable execution of intricate experimental workflows across multiple devices. Looking ahead, the successful implementation of this autonomous laboratory sets the stage for further advancements in research and development processes across various industries, including public health and advanced manufacturing. The next milestones will involve expanding the capabilities of the OPN model and integrating it into more complex industrial systems. No further timeline was disclosed at the time of publication.
Autonomous Laboratories Embodied Intelligence Biochemical Research Robotics AI
RAD Secures £4.4 Million Funding to Enhance Autonomous Marine Technology and Electric Propulsion Systems
RAD, a marine technology firm, has successfully raised £4.4 million in funding to accelerate the commercialization of its autonomous vessel technologies and expand its electric propulsion systems. This funding round, led by Mercia Ventures, comes after a year of significant product development and customer engagement, including the launch of the Axon open systems architecture for uncrewed vessels at the Combined Naval Event in May 2026. The funding is crucial as RAD aims to capitalize on the growing demand for flexible and scalable marine solutions in both defense and commercial sectors. The Axon architecture allows for rapid development and integration of uncrewed vessel capabilities, which is expected to enhance operational efficiency and reduce vendor lock-in for operators. With this investment, RAD is positioned to lead the electrification shift in marine technology, similar to trends seen in road transport. Looking ahead, RAD plans to utilize the funds for international expansion, including establishing a presence in the U.S. market, and further developing its electric propulsion systems and energy management technologies. The company is also focused on enhancing its engineering capabilities to meet the increasing demand from its diverse customer base. No further timeline was disclosed at the time of publication.
rad raise investment commercialisation autonomous marine technology propulsion systems
L3Harris and ARX UK Evaluate Passive Counter-Drone Technology on Autonomous UGVs
L3Harris and ARX UK have tested the CORVUS-RAVEN sensors mounted on unmanned ground vehicles (UGVs) to enhance battlefield awareness. These sensors are designed to track approaching threats, allowing operators to maintain a safe distance from potential dangers. The implementation of the CORVUS-RAVEN technology is significant as it improves situational awareness for military operators, enabling them to respond effectively to drone threats without direct engagement. This advancement in counter-drone capabilities is crucial in modern warfare, where unmanned aerial vehicles pose increasing risks. Looking ahead, the focus will be on the further development and deployment of these passive counter-drone systems. No further timeline was disclosed at the time of publication.
News
GUSS to Enhance Autonomous Orchard Sprayers with Ouster Rev8 OS0 Lidar Technology
GUSS Automation, a subsidiary of John Deere, is set to integrate Ouster's Rev8 OS0 lidar into its autonomous orchard machines. This advanced 3D sensor enhances navigation and obstacle detection in environments where GPS may be insufficient, particularly in orchards and vineyards. The Rev8 OS0 lidar features a 90-degree vertical field of view and generates up to 10.4 million 3D measurement points per second, with a maximum range of 250 meters. This technology allows for detailed mapping of tree trunks, crop rows, and terrain, improving the machines' operational capabilities in dense vegetation. While the initial application focuses on autonomous spraying, GUSS and Ouster anticipate that this lidar technology could be adapted for other tasks in orchards and vineyards. No timeline for the commercial release of these upgraded machines has been disclosed at this time.
Autonomous/semi-auto steering systems Tech in focus autonomy field robot
Bedrock Robotics Introduces Autonomous Driving Technology for Construction Equipment
Bedrock Robotics is implementing autonomous driving technology in construction by retrofitting excavators and heavy machinery with advanced sensors and software. The company’s CEO, Boris Sofman, highlighted the significance of these innovations during a discussion on Bloomberg Tech, emphasizing the potential to mitigate the skilled labor shortage in the industry. This development is crucial as the construction sector faces increasing demand for data centers and infrastructure projects, which creates a pressing need for efficient and effective solutions. By integrating AI-driven autonomous equipment, Bedrock Robotics aims to enhance productivity and speed up construction processes across the United States. Looking ahead, the company has initiated its first paid commercial deployments, marking a significant milestone in its journey. No further timeline was disclosed at the time of publication.
KAIST Unveils Advanced Four-Legged Robot with Autonomous Navigation Technology
KAIST's mechanical engineering team, led by Professor Park Hai-won, announced a breakthrough in robotic technology on July 16. They developed a four-legged robot capable of autonomously selecting and switching between various gaits in real-time, enabling it to navigate complex outdoor environments with speed and stability. This innovation is significant as it integrates a new control architecture called APT-RL (Action Pre-training Reinforcement Learning based on Transformers), which allows the robot to learn movement through computer simulations rather than traditional motion capture. The robot, named KAIST HOUND, demonstrated its capabilities by traversing diverse terrains, achieving peak speeds of 6 meters per second, faster than an average cyclist. Future developments to watch include the potential applications of this technology in disaster response, defense tasks, and industrial inspections. The research was published in the July issue of the journal Science Robotics, highlighting its importance in advancing the field of robotic control and physical AI.
Four-Legged Robots Robotics Technology AI Autonomous Navigation
ByteDance Investigates Autonomous Driving Technology for Unmanned Logistics Solutions
ByteDance is currently investigating autonomous driving technology aimed at unmanned logistics, as reported by Chinese media. This initiative is being developed by the world model team within Seed, ByteDance's AI research unit, and is linked to Volcengine’s automotive industry line. The significance of this exploration lies in ByteDance's commitment to advancing large model research, which includes initial forays into physical AI. However, the company has clarified that it does not intend to establish a smart driving business, indicating a focus on research rather than commercial deployment. Looking ahead, it will be important to monitor ByteDance's developments in this area, particularly how their research may influence the logistics sector. No further timeline was disclosed at the time of publication.
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XTEND Receives U.S. Patent for Drone Autonomy Technology Enhancing Mission Efficiency
XTEND Reality Inc. has secured a U.S. patent for its autonomous navigation technology, specifically U.S. Patent No. 12,222,735, which allows drones to navigate toward operator-designated destinations without reliance on the surrounding environment. This patent, also granted in Israel, supports the company's mission to enhance drone autonomy in complex operational settings, reducing operator workload and improving mission execution reliability. The significance of this patent lies in its ability to enable drones to adapt their navigation in real-time while maintaining focus on mission objectives. As autonomous operations grow in defense, security, and public safety sectors, this technology positions XTEND favorably in a competitive landscape, reinforcing its software foundation, XOS, for next-generation autonomous systems. Looking ahead, XTEND is set to participate in the Gauntlet II phase of the U.S. Department of War's Drone Dominance Program, which will test autonomous systems in August at Fort Carson, Colorado. No further timeline was disclosed at the time of publication regarding additional developments related to this patent or upcoming projects.
Controllers Defense / Security Investments Mergers & Acquisitions News Unmanned Aerial Systems / Drones
Océalia Invests in Cyclair to Enhance Autonomous Weeding Technology
French agricultural cooperative Océalia has acquired a minority stake in Cyclair, a startup focused on autonomous weeding robots, as part of its Cap 2030 strategic plan. This investment aims to provide Océalia's members in Nouvelle-Aquitaine with a mechanical weeding alternative to chemical herbicides. The Cyclair robots, currently operational in Western and Central Europe, North America, and Australia, are designed to cover crops such as maize, sunflower, and rapeseed, with plans to expand into cereals and specialty crops. The technology employs cameras and LIDAR for navigation and weed identification, eliminating the need for GPS. Looking ahead, Cyclair is developing additional features, including an electric weeding module and agronomic sensors, to enhance its platform's capabilities. The cooperative's focus on reducing herbicide use aligns with its sustainability framework, aiming for cost parity with traditional chemical weeding methods, which range from €35 to €85 per hectare.
Smart farming autonomous system crop scouting mechanical weeder robotic harvesting weed control systems
Ouster Expands into Drone Mapping and Autonomous Vehicles with Physical AI Technology
Ouster is advancing its technology that enables machines to perceive and navigate their environments, contributing to the growth of physical AI. The company is entering the drone mapping sector through a collaboration with GeoCue, while John Deere is integrating Ouster sensors into its GUSS autonomous vehicles. This expansion is significant as it highlights the increasing demand for physical AI solutions across various industries. Ouster's CEO, Angus Pacala, emphasized the company's commitment to exploring new markets and addressing the evolving needs for advanced sensing technologies in automation. Looking ahead, industry stakeholders should monitor Ouster's developments in drone mapping and its partnership with John Deere. No further timeline was disclosed at the time of publication.
Gravis Robotics Secures $200 Million from SoftBank for Autonomous Construction Technology
Gravis Robotics has received a significant $200 million investment from SoftBank, aimed at enhancing its construction technology. The startup focuses on retrofitting existing excavators and heavy machinery to incorporate autonomous and semi-autonomous capabilities, which are essential for modern infrastructure projects. This investment underscores SoftBank's confidence in the potential of physical AI, particularly in the automation of earth-moving equipment. Such advancements are crucial for improving efficiency in infrastructure development, including roads, quarries, and mines, where heavy machinery plays a vital role. Looking ahead, the industry will be watching how Gravis Robotics leverages this funding to further innovate in the construction sector. No further timeline was disclosed at the time of publication.
Nanovel Develops Autonomous Citrus Harvesting Technology to Address Labor Challenges
Israeli ag robotics startup Nanovel is tackling the complexities of robotic citrus harvesting. Their patented autonomous harvester features robotic arms that can reach deep into citrus trees, using a vacuum gripper to collect fruit while minimizing damage. The system employs computer vision and AI to navigate the canopy and manage a fleet of robots. This innovation is significant as manual labor constitutes about 50% of production costs in citrus farming, particularly in regions sensitive to labor availability. Nanovel's technology aims to reduce these costs, with harvesting expenses estimated at $25-30 per 900-lb field bin compared to $42-43 for manual labor. The ability to schedule harvests reliably without dependence on seasonal workers enhances operational efficiency. Looking ahead, Nanovel plans to conduct trials with leading growers in southern Europe in 2027, followed by pilot deployments in 2028 and commercial rollout in 2029. The company has secured a €2.5 million grant from the European Innovation Council to support its development efforts.
Agtech Artificial intelligence Deeptech EMEA Precision agriculture Startups & funding
ABB Robotics Introduces Flexley Stack F712 Platform for AI-Driven Autonomous Forklifts
ABB Robotics has launched the Flexley Stack F712 platform, enhancing its AMR portfolio with AI-powered visual technology for autonomous forklifts. This innovation facilitates pallet transport and high-density storage, creating a cohesive ecosystem among ABB’s Visual SLAM AMR types, aimed at improving efficiency in material handling and warehouse operations across various industries, including automotive manufacturing. The introduction of the F712 is significant as it addresses the growing demand for faster and more flexible goods movement in intralogistics, particularly under constraints of limited labor availability. Marc Segura, president of ABB Robotics, emphasized the need for businesses to adapt to increased processing demands while leveraging advanced vision, mobility, and intelligence in their operations. Looking ahead, the Flexley Stack F712 can manage diverse load types and sizes, allowing customers to implement mixed fleets of Visual SLAM-powered vehicles on a unified navigation and fleet management platform. No further timeline was disclosed at the time of publication.
Factory / Analytics
ABB Introduces Flexley Stack F712 AI-Powered Forklift with Visual SLAM Technology
On July 8, ABB Robotics launched the Flexley Stack F712, an AI-driven autonomous forklift utilizing visual SLAM technology. This product completes ABB's lineup of autonomous mobile robots (AMRs), which now includes forklifts, tuggers, and transport vehicles. The F712 can handle various load types, with a maximum capacity of 2000 kg and a lifting height of 8.5 meters, achieving a top speed of 1.7 meters per second under full load. The significance of the F712 lies in its advanced navigation capabilities, which eliminate the need for traditional infrastructure like reflective markers or magnetic strips. With a positioning accuracy of ±10 mm, the F712 can autonomously navigate complex warehouse environments. It integrates seamlessly with the AMR Studio software, allowing for rapid deployment and fleet coordination, reducing debugging time by 20% compared to traditional systems. Looking ahead, the F712 is designed to support various internal logistics tasks, including warehousing and production line operations, and is compliant with the latest ISO and ANSI safety standards. No further timeline was disclosed at the time of publication, but the F712 represents a significant step towards more autonomous and capable robotic solutions in smart manufacturing environments.
Autonomous Forklifts AI Robotics Warehouse Automation Visual SLAM Logistics Technology
Advanced Battery Technology Enhances Performance for Autonomous Vehicles and Robotics
Recent advancements in battery technology are enabling intelligent machines to operate continuously, enhancing performance and efficiency. This technology is specifically designed for applications in autonomous vehicles, robotics, satellites, and drones, allowing for longer life and improved operational capabilities under high-demand conditions. The significance of these developments lies in their potential to transform various industries by supporting the growing demand for reliable and efficient power sources. As intelligent machines become more prevalent, the ability to sustain high-performance operations is crucial for sectors such as transportation, logistics, and aerospace. Looking ahead, stakeholders should monitor the integration of these advanced battery systems into existing platforms and the emergence of new applications. No further timeline was disclosed at the time of publication.
SpaceX Proposes 1 Million AI Satellites to Address Ground Data Center Constraints
On January 30, 2026, SpaceX filed with the FCC to launch up to 1 million AI compute satellites, positioning orbital data centers as a solution to the increasing demand for AI computing power. Ground data centers are facing significant challenges, with energy consumption projected to reach approximately 1,050 TWh in 2026, making them the fifth-largest electricity consumer globally. The demand for new data center capacity is outpacing the growth of power generation infrastructure, leading to a critical bottleneck in the grid system. The significance of this initiative lies in the structural constraints faced by ground data centers, including power delivery limitations, high water consumption, and local opposition to new projects. The Uptime Institute's 2026 outlook identifies power as the primary constraint on data center growth, with capacity clearing prices in the PJM grid skyrocketing to $329.17/MW, driven by data center expansion. Additionally, cooling requirements are becoming increasingly unsustainable, with facilities consuming vast amounts of water, further complicating their operational viability. Looking ahead, SpaceX's orbital AI compute initiative aims to circumvent these challenges by leveraging the advantages of space, such as continuous solar power and minimal local opposition. The first AI prototypes are expected to launch in early 2027, with operational deployments planned for 2028. No further timeline was disclosed at the time of publication.
Klein Marine Systems Introduces MANTIS UUV with SmartArray Technology™ for Autonomous Underwater Missions
Klein Marine Systems, recognized as a global leader in advanced side scan sonar and underwater imaging technology, has unveiled its latest innovation, the MANTIS UUV. This integrated multi-channel side scan sonar system is specifically designed to enhance unmanned underwater vehicles by providing high-quality imaging and onboard processing capabilities. The announcement was made today, highlighting the company’s commitment to improving underwater exploration and data collection. The MANTIS UUV aims to streamline integration processes, making it a valuable tool for various applications in marine research and industry.
klein marine systems mantis uuv smartarray technology™ uuv auv
YouTime Technology Secures Hundreds of Millions in Series B Funding, Expanding from L4 Visual Autonomous Driving to Humanoid Robots
YouTime Technology, a company focused on L4 low-speed autonomous driving, has successfully raised hundreds of millions of RMB in a Series B funding round, with Qianhai Ark leading the investment. This funding, finalized recently, aims to facilitate the company's transition to embodied intelligence and advance the development of multimodal AI agents. Additionally, the capital will enhance the visual navigation capabilities of their humanoid robots, positioning YouTime Technology for significant growth in the autonomous driving sector.
Autonomous Driving Humanoid Robots AI Technology Computer Vision
Hyundai Motor, Kia and NVIDIA Expand Strategic Partnership for Next-Generation Autonomous Driving Technology
NVIDIA has announced an expanded collaboration with Hyundai Motor Company and Kia Corporation to enhance the development of next-generation autonomous driving technologies. This partnership will leverage the NVIDIA DRIVE Hyperion™ platform, which is designed to support the creation of advanced autonomous vehicles. The announcement was made today, signaling a significant step forward in the automotive industry’s push towards fully autonomous driving solutions. This collaboration aims to combine NVIDIA's cutting-edge technology with Hyundai and Kia's automotive expertise to accelerate innovation in self-driving capabilities.
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