Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Study on Cooperative Navigation Methods for Autonomous Underwater Vehicles in Terrain Mapping
A recent study published in the Journal of Field Robotics explores cooperative navigation methods for autonomous underwater vehicles (AUVs) in terrain mapping. The research focuses on enhancing the accuracy and efficiency of AUVs when mapping underwater environments through collaborative navigation techniques. This research is significant as it addresses the challenges faced by AUVs in accurately mapping complex underwater terrains. By improving navigation methods, the study aims to facilitate better data collection for various applications, including environmental monitoring, underwater exploration, and resource management. Looking ahead, the implications of this research could lead to advancements in AUV technology and its applications in marine research. No further timeline was disclosed at the time of publication.
RESEARCH ARTICLE
Coast Guard Seeks Effective Technology to Counter Unmanned Underwater Vehicles
The Coast Guard has announced its search for technology capable of defeating unmanned underwater vehicles (UUVs). According to a recent notice, there are currently limited solutions that have been tested and fielded to address this challenge. This initiative is significant as the rise of UUVs poses potential threats to maritime security and safety. The Coast Guard's efforts to find effective countermeasures highlight the urgency of addressing vulnerabilities in underwater operations and protecting critical assets. Looking ahead, the Coast Guard's ongoing search for viable technology solutions will be crucial in enhancing maritime defense capabilities. No further timeline was disclosed at the time of publication.
Naval Warfare coast guard Drones Navy Unmanned unmanned underwater vehicle
Current Disturbances Impacting Online Localization for Autonomous Underwater Vehicles
The Journal of Field Robotics has published an early view article discussing the challenges of online localization for autonomous underwater vehicles (AUVs) in the presence of current disturbances. This research highlights the difficulties faced by AUVs when global references are not available, which is crucial for their navigation and operational efficiency. Understanding how current disturbances affect AUV localization is significant as it directly impacts the effectiveness of underwater missions. Accurate localization is essential for various applications, including environmental monitoring, underwater exploration, and military operations. The findings from this study could lead to improved algorithms and technologies that enhance the reliability of AUVs in challenging underwater environments. Future research should focus on developing advanced localization techniques that can mitigate the effects of current disturbances on AUVs. As underwater exploration continues to grow, the demand for reliable AUV navigation systems will increase. No further timeline was disclosed at the time of publication.
RESEARCH ARTICLE
U.S. and U.K. Conduct First Torpedo Launch from Uncrewed Underwater Vehicle
A British Excalibur uncrewed underwater vehicle successfully fired a U.S. Mk 48 heavyweight torpedo on September 13, marking a historic first for both the U.S. Navy and the Royal Navy. This proof-of-concept test was conducted at the British Underwater Test & Evaluation Center in Scotland, showcasing advancements in armed UUV capabilities. The significance of this test lies in its potential to enhance operational fleets of armed uncrewed underwater vehicles for both nations. The test was part of the AUKUS defense cooperation agreement, specifically under Pillar 2, which focuses on advanced technology collaboration, particularly in uncrewed platforms and autonomy. Looking ahead, the successful integration of the Mk 48 torpedo onto the Excalibur UUV opens new avenues for undersea warfare. Future developments may lead to fleets of UUVs capable of offensive operations, providing allied forces with enhanced lethality and operational flexibility in maritime environments. No further timeline was disclosed at the time of publication.
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U.S. Navy Exercise Demonstrates Sonar Network Tracking for Various UUVs
The U.S. Navy's Exercise Lanternfish 26 showcased the capabilities of ThayerMahan's ShorePicket and Outpost systems in detecting unmanned underwater vehicles (UUVs). These systems successfully tracked UUVs ranging from six inches to extra-large sizes, highlighting the importance of distributed acoustic sensors in maritime security. This exercise, involving U.S., British, and Australian personnel, aimed to evaluate emerging undersea technologies in realistic environments. With 50 technologies from 26 industry partners, the event focused on enhancing interoperability under AUKUS Pillar II, emphasizing the need for effective detection methods in the challenging underwater environment. Looking ahead, the integration of ThayerMahan's TransparenSea software with acoustic data processing and AI-assisted analysis will be crucial for real-time maritime situational awareness. No further timeline was disclosed at the time of publication.
Military
HII Tops 700 REMUS Uncrewed Underwater Vehicles Sold
HII, the largest shipbuilder in the United States and a prominent provider of all-domain technologies and solutions, has achieved a significant milestone by selling over 700 REMUS uncrewed underwater vehicles (UUVs) to customers worldwide. This accomplishment not only underscores HII's dominance in the market but also enhances its reputation as the leading producer of these advanced underwater systems. The sales reflect a growing demand for innovative undersea technology, positioning HII at the forefront of the industry as it continues to expand its global footprint.
hii remus uncrewed underwater vehicles (uuv)
China Explores Autonomous Defense Systems for Contested Islands in South China Sea
A recent report indicates that China is investigating a maritime defense model utilizing autonomous drones to protect contested islands in the South China Sea. Researchers from the China Coast Guard Academy and Dalian Maritime University propose a network of aerial, surface, and underwater drones, which would create a multi-layered defense system, enhancing surveillance and response capabilities. This shift from traditional defense methods to a system reliant on uncrewed platforms reflects the evolving nature of naval warfare. The economic advantages of deploying inexpensive drones to monitor maritime environments are significant, as they can challenge larger military assets. The interconnected architecture aims to maintain operational capability even if some drones are compromised, emphasizing redundancy in defense strategies. As the South China Sea remains a focal point of territorial disputes among several nations, China's initiative to integrate autonomous systems into its defense strategy could further complicate regional security dynamics. However, it is crucial to note that this concept is still a research proposal and does not confirm the operational deployment of such systems at this time.
Military
ARX Robotics Demonstrates GEREON Uncrewed Ground Vehicles in US Army Trials
ARX Robotics UK has successfully showcased the capabilities of its GEREON uncrewed ground vehicles (UGVs) during Project Convergence-Capstone 6 (PC-C6). This event marks the largest experiment in the US Army's initiative to enhance land warfare capabilities. The successful demonstration is significant as it highlights the operational potential of GEREON UGVs in modern military applications. This aligns with the US Army's ongoing efforts to integrate advanced technologies into their land warfare strategies. Looking ahead, further developments in the integration of autonomous systems into military operations are expected. No further timeline was disclosed at the time of publication.
News
Open‐Set Fault Diagnosis for Autonomous Underwater Vehicles Via Prototype Learning and Adaptive Mahalanobis Gating
The Journal of Field Robotics has recently published an early view article highlighting advancements in robotic technology. Researchers from various institutions collaborated to explore innovative applications of robotics in field environments. This study, released in October 2023, emphasizes the growing importance of robotics in enhancing efficiency and safety in agricultural and industrial settings. The motivation behind this research stems from the increasing demand for automation to address labor shortages and improve productivity. The team employed a combination of field tests and simulations to demonstrate the effectiveness of their robotic solutions, showcasing how these technologies can adapt to diverse tasks and terrains. The findings aim to inform future developments in robotic systems, ultimately contributing to more sustainable practices in various sectors.
RESEARCH ARTICLE
Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to develop innovative algorithms that enhance the efficiency and precision of robotic farming equipment. The findings, released in early October 2023, emphasize the growing importance of automation in agriculture, particularly in response to labor shortages and the need for sustainable farming practices. The research was conducted in multiple agricultural settings, showcasing how these robotic systems can adapt to different crop types and environmental conditions. By integrating machine learning and sensor technology, the robots are capable of performing tasks such as planting, weeding, and harvesting with minimal human intervention. This development aims to address the challenges faced by farmers, including the rising costs of labor and the increasing demand for food production. The study underscores the potential for these autonomous systems to revolutionize the agricultural sector, making it more efficient and environmentally friendly. As the agricultural industry continues to evolve, the implementation of such technologies could lead to significant improvements in productivity and sustainability.
RESEARCH ARTICLE
Adaptive DWA Guides Underwater Vehicles Past Obstacles
Researchers have developed an enhanced dynamic window approach for unmanned underwater vehicles (UUVs), aimed at improving their navigation capabilities in challenging environments. This innovative method focuses on optimizing obstacle avoidance, which significantly increases the success rates of UUV operations while simultaneously reducing energy consumption. The advancements in this technology are particularly relevant for missions that require precise maneuvering in complex underwater landscapes, such as search and rescue operations, environmental monitoring, and underwater exploration. By integrating this new approach, UUVs can better adapt to dynamic conditions, ensuring safer and more efficient missions. The findings were presented in October 2023, highlighting the potential for this technology to revolutionize underwater vehicle navigation.
SYOS Strengthens its Multi-domain Uncrewed Portfolio with the Introduction of the SU10 Uncrewed Underwater Vehicle
SYOS has unveiled the SU10 uncrewed underwater vehicle (UUV) today, expanding its portfolio of autonomous systems across multiple domains, including air, land, sea, and subsurface operations. The introduction of the SU10 aims to enhance capabilities in mine countermeasures, protect critical subsea infrastructure, and ensure persistent surveillance and maritime security. This advanced UUV is equipped to undertake a variety of missions, including search and identification, route clearance, and infrastructure inspection and intervention, thereby addressing growing demands for safety and security in maritime environments.
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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.
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Six‐Dimensional Digital Twin System for Autonomous Underwater Vehicles: Conceptualization and Twin Experiments
The Journal of Field Robotics has published a new early view article highlighting advancements in robotic technology. The research, conducted by a team of engineers and scientists, focuses on enhancing the capabilities of autonomous robots in complex environments. This study, released in October 2023, aims to address the growing demand for improved robotic systems in various applications, including agriculture, search and rescue, and industrial automation. The researchers employed innovative algorithms and machine learning techniques to enable robots to navigate and operate more effectively in unpredictable settings. By simulating real-world scenarios, the team was able to test the robots' performance and adaptability, showcasing significant improvements over previous models. This development comes at a crucial time as industries increasingly rely on automation to boost efficiency and safety. The findings are expected to influence future designs and applications of robotic systems, ultimately contributing to the evolution of the field. The research underscores the importance of interdisciplinary collaboration in advancing technology and meeting the challenges posed by complex operational environments.
RESEARCH ARTICLE
Collaborative Sampling and Imaging of Phytoplankton Communities by Two Long‐Range Autonomous Underwater Vehicles Using Acoustic Tracking and Messaging
In May 2026, researchers published a study in the Journal of Field Robotics, detailing advancements in robotic technology aimed at enhancing agricultural efficiency. This research, conducted by a team of engineers and agricultural scientists, focuses on the development of autonomous robots capable of performing various farming tasks, such as planting, monitoring crop health, and harvesting. The study highlights the pressing need for innovative solutions in agriculture, driven by the increasing global population and the corresponding demand for food production. By integrating advanced sensors and artificial intelligence, these robots can operate independently, reducing the reliance on manual labor and improving productivity. The research was conducted in various agricultural settings, showcasing the robots' adaptability to different environments and crop types. The findings suggest that implementing such robotic systems could lead to significant cost savings and increased yield for farmers, ultimately contributing to food security. The team employed a combination of field trials and simulations to validate the robots' effectiveness, demonstrating their ability to navigate complex terrains and perform tasks with precision. This breakthrough could revolutionize the agricultural sector, offering a sustainable approach to meet future food demands while minimizing environmental impact.
RESEARCH ARTICLE
Dynamic State Feedback Control of Autonomous Underwater Vehicles Based on Switching Between Multiple Heading Movement Models
In May 2026, researchers published a significant study in the Journal of Field Robotics, detailing advancements in robotic technology. The study, appearing in Volume 43, Issue 3, pages 1679-1692, highlights innovative methodologies for enhancing robotic navigation and autonomy in complex environments. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the growing demand for efficient and reliable robotic systems in various industries, including agriculture, manufacturing, and disaster response. The motivation behind this research stems from the increasing reliance on robotics in everyday applications and the need for these systems to operate effectively in unpredictable settings. By employing advanced algorithms and machine learning techniques, the researchers demonstrated how robots can improve their decision-making processes and adapt to changing conditions in real-time. The findings are expected to have a profound impact on the future development of autonomous robots, paving the way for more sophisticated applications that can enhance productivity and safety across multiple sectors. As the field of robotics continues to evolve, this study represents a crucial step toward achieving greater autonomy and efficiency in robotic systems.
RESEARCH ARTICLE
A Review on Path Planning for Autonomous Underwater Vehicles: From Models, Classical Methods, and Learning‐Based Intelligence Perspectives
In a recent study published in the Journal of Field Robotics, researchers explored advancements in robotic technologies aimed at enhancing agricultural efficiency. The findings, released in May 2026, highlight innovative methods for deploying autonomous robots in farming environments to improve crop management and yield. Conducted by a team of experts in robotics and agriculture, the research took place in various agricultural settings, focusing on the integration of artificial intelligence and machine learning to optimize planting, monitoring, and harvesting processes. The motivation behind this initiative stems from the growing need for sustainable farming practices and the increasing global demand for food production. By utilizing advanced robotics, the study aims to address labor shortages and reduce environmental impacts associated with traditional farming methods. The researchers conducted extensive field trials to assess the effectiveness of these robotic systems, demonstrating significant improvements in efficiency and productivity. This work not only contributes to the field of robotics but also offers practical solutions for the agricultural sector facing modern challenges.
SURVEY ARTICLE
UK Royal Navy Awards Teledyne Contract for Autonomous Underwater Vehicles and Floats
Teledyne Marine, a division of Technologies Incorporated, has secured a contract with the UK Ministry of Defence to enhance the Royal Navy's oceanographic and environmental data collection capabilities. This partnership supports the Royal Navy's Future Maritime Data Gathering initiative, aimed at improving persistent oceanographic data collection. The contract underscores the UK's commitment to advancing its maritime research and operational effectiveness.
uk royal navy contract award teledyne autonomous underwater vehicles (auv) floats
Oceanology International 2026 – Uncrewed Vehicles & Vessels Track Q&A
In a recent interview with Ocean Robotics Planet, Justin Manley, Chief Commercial Officer of Seahawk Robotics, discussed the advancements in autonomy within the uncrewed maritime industry. This conversation highlighted key themes that will be addressed during the Uncrewed Vehicles and Vessels conference track at Oi26, scheduled to take place later this year. The conference aims to showcase innovative developments and applications in marine autonomous systems, including technologies such as Robotics, Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), and Autonomous Surface Vessels (ASVs). Manley emphasized the growing importance of these technologies in enhancing maritime operations and addressing various industry challenges. The insights shared during the interview and the upcoming conference reflect a significant shift towards automation in marine environments, driven by the need for efficiency and safety in maritime operations.
oceanology international 2026 oi26 uncrewed vehicles & vessels track q&a events
Oceanology International 2026 – Uncrewed Vehicles & Vessels Track Q&A
Richard Mills, Chief Commercial Officer of Cellula Robotics, recently spoke with Ocean Robotics Planet about his role as the moderator for the Uncrewed Vehicles and Vessels conference track at Oi26. This event, scheduled for later this year, will delve into the latest innovations and applications in marine autonomous systems, encompassing technologies such as Robotics, Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), and Autonomous Surface Vessels (ASVs). The conference aims to highlight advancements in the field and foster discussions on the future of uncrewed marine technologies, addressing the growing demand for efficient and sustainable solutions in marine exploration and operations.
oceanology international 2026 oi26 uncrewed vehicles & vessels track q&a events
Autonomous Underwater Vehicles Key Components Fault Diagnosis Method Based on Multisource Information Multilevel Fusion With Fault Feature Exchange
The Journal of Field Robotics has published new research highlighting advancements in robotic technology aimed at enhancing field operations. This study, released in early October 2023, focuses on the integration of artificial intelligence and machine learning to improve the efficiency and accuracy of robotic systems in agricultural settings. Conducted by a team of researchers from various institutions, the work demonstrates how these innovations can lead to better crop management and resource allocation. The research was carried out in various agricultural environments, showcasing the robots' ability to adapt to different terrains and conditions. By employing sophisticated algorithms, the robots can analyze data in real-time, allowing for timely interventions that can significantly boost yields and reduce waste. The motivation behind this study stems from the growing need for sustainable farming practices amid increasing global food demand. By leveraging advanced robotics, the researchers aim to address challenges such as labor shortages and environmental impacts associated with traditional farming methods. The findings suggest that the application of these technologies could revolutionize the agricultural industry, making it more efficient and environmentally friendly. As the field of robotics continues to evolve, this research underscores the potential for robotic systems to play a crucial role in modern agriculture, paving the way for future innovations that could further transform how food is produced and managed.
RESEARCH ARTICLE
HII and Babcock Join Forces to Integrate Unmanned Underwater Vehicles with Submarine Weapon Handling and Launch Systems
Babcock International Group and HII have entered into a memorandum of understanding to integrate HII’s REMUS unmanned underwater vehicles with Babcock’s advanced submarine Weapon Handling and Launch Systems. This collaboration aims to enhance the autonomous launch and recovery capabilities of UUVs through submarine torpedo tubes, thereby bolstering the undersea operational advantages of allied navies. This initiative marks the inaugural program of its kind within Babcock's Mission Systems division, reflecting a significant step forward in military maritime technology.
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Liquid Robotics and Hydronet Sign MOU to Advance Undersea Mesh Networking for Maritime and Underwater Autonomous Vehicles
Liquid Robotics, a subsidiary of Boeing, has partnered with Massachusetts-based deep tech start-up Hydronet to enhance and commercialize underwater mesh networking technologies. This collaboration aims to improve connectivity for maritime and underwater autonomous vehicles. The two companies have formalized their commitment through a Memorandum of Understanding (MOU), signaling a strategic move to leverage their respective expertise in advancing this innovative technology. The partnership is expected to facilitate more efficient communication and data sharing among autonomous systems operating in underwater environments, ultimately enhancing operational capabilities in various maritime applications.
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Kongsberg Discovery Starts Production of Autonomous Underwater Vehicles in the U.S.
Kongsberg Discovery has announced the commencement of production for its HUGIN autonomous underwater vehicle in the United States. This strategic move, made in response to the increasing demand for advanced subsea technology in the U.S. market, underscores the company's commitment to enhancing its presence in the region. By establishing local production, Kongsberg aims to better serve its clients and capitalize on the growing opportunities within the subsea sector. The decision reflects a broader trend of companies investing in domestic manufacturing to meet specific market needs and improve operational efficiency.
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