Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Cyborg Cockroaches Equipped for Underwater Rescue Operations
Researchers from Nanyang Technological University in Singapore and Waseda University in Japan have developed a unique application for cyborg Madagascar hissing cockroaches. By outfitting these insects with miniature diving suits, they can now navigate underwater for up to three hours, providing innovative solutions for disaster rescue operations. This advancement is significant as it combines living organisms with electronic devices, allowing the cockroaches to utilize their own muscle and nervous systems for movement. Unlike purely mechanical robots, these cyborg cockroaches have a lower energy consumption, making them more efficient for tasks in challenging environments, such as underwater scenarios. The research team is currently enhancing these cyborg cockroaches with miniature sensors, cameras, and advanced navigation systems. In the future, they may be deployed in disaster situations like floods or earthquakes to access hard-to-reach areas, helping rescue teams locate trapped individuals. No further timeline was disclosed at the time of publication.
Cyborg Insects Disaster Rescue Technology Underwater Robotics Microelectronics
New Magnetoelectric Antenna Helps Underwater Robots Communicate Over Long Distances
BlueME has developed innovative magnetoelectric antennas designed to enhance data exchange for underwater robots, enabling communication over long distances while maintaining a low power consumption of under 10 watts. This advancement is particularly significant for operations in real-world ocean environments, where efficient data transmission is crucial for various marine applications. The technology aims to improve the capabilities of underwater robotics, facilitating better data collection and communication in challenging aquatic settings.
New 10-watt antenna helps underwater robots communicate across 2,296 feet
Researchers have developed an innovative antenna system aimed at enhancing communication between underwater robots, particularly in challenging environments such as murky waters. This advancement comes as part of ongoing efforts to improve the efficiency and effectiveness of robotic operations in marine settings. The new system was unveiled during a technology conference held in San Diego on October 15, 2023. The motivation behind this development stems from the increasing reliance on underwater robots for various applications, including environmental monitoring, search and rescue missions, and marine research. Traditional communication methods often struggle in low-visibility conditions, which can hinder the performance of these robots. The newly designed antenna system utilizes advanced signal processing techniques to facilitate clearer and more reliable communication between multiple robots operating simultaneously. By overcoming the limitations posed by murky water, this technology promises to enhance collaborative efforts among underwater robots, leading to improved outcomes in their respective missions. As the demand for autonomous underwater vehicles continues to grow, this breakthrough could play a crucial role in advancing the capabilities of marine robotics, ultimately contributing to better data collection and exploration of underwater environments.
A tiny underwater antenna is changing how robots talk in dark, murky seas
University of Florida researchers are advancing underwater communication technology by deploying robots in various aquatic environments, from the shallow shores of Lake Wahlberg to the depths of the ocean. This initiative aims to enhance the robots' ability to communicate effectively in challenging, murky conditions. The project, which began recently, leverages innovative techniques to improve data transmission and interaction among robots operating in diverse water conditions. By refining these communication methods, the researchers hope to facilitate more efficient underwater exploration and data collection, potentially benefiting fields such as marine biology, environmental monitoring, and search and rescue operations.
Robotics
Revolutionizing Underwater Detection! This AI Bionic Skin Allows Robots to 'Touch' the World in Turbulent Waters
Researchers from Zhejiang University and the National University of Singapore have unveiled a groundbreaking AI-enhanced bionic electronic skin, drawing inspiration from the unique sensory capabilities of sharks. This cutting-edge technology allows underwater robots to detect subtle tactile differences even in murky waters, greatly enhancing their ability to interact with and perceive their surroundings. The development represents a significant advancement in underwater robotics, potentially transforming various applications in marine exploration and environmental monitoring. The research highlights the importance of biomimicry in engineering, showcasing how nature can inspire innovative solutions to complex challenges.
Underwater Robotics Bionic Technology AI Sensor Technology
Video Friday: A Robot Hand With Artificial Muscles and Tendons
IEEE Spectrum robotics has released its weekly roundup of notable robotics videos and a calendar of upcoming events, including the International Conference on Robotics and Automation (ICRA) scheduled for June 1-5, 2026, in Vienna. This week's highlights feature advancements in biomimetic design, showcasing a printed hand that integrates soft and rigid components with artificial muscles, enhancing our understanding of natural kinematic structures. Boston Dynamics product managers reflect on classic robots, including LittleDog, which contributed to legged locomotion research over a decade ago. Additionally, DRAGON Lab has introduced a new trajectory planning method for floating-based articulated robots, facilitating exploration in complex environments. Their OmniPlanner tool has been tested extensively across various terrains, including underground mines and forests. The FZI Research Center, in collaboration with ETH Zurich and other institutions, has made strides in preparing for lunar missions by testing cooperative autonomous multirobot teams outdoors. Meanwhile, advancements in humanoid robotics are being discussed, with Kamel Saidi from NIST emphasizing the importance of performance standards for broader adoption. In academia, Junyao Shi from UPenn's GRASP lab will address the challenges of building general-purpose robots, focusing on how human data and foundation models can bridge existing gaps in robotics. This ongoing exploration of robotics technology underscores the field's rapid evolution and its potential impact on various sectors.
Humanoid-robots Video-friday Underwater-robots Bipedal-robots Robot-videos
Underwater robots that are always on call pave the way for pipeline and cable security
As economic activity in ocean spaces continues to rise, there is an increasing demand for regular monitoring and inspection of underwater infrastructure, including pipelines, cables, and installations. This need is driven by the growing complexity of global security concerns, which necessitate enhanced surveillance capabilities. Autonomous underwater vehicles (AUVs) are emerging as vital tools in this effort, offering advanced monitoring solutions that can operate in challenging environments. Furthermore, there is a pressing requirement for greater understanding of the seabed and oceanic regions to support sustainable development and security measures. As stakeholders seek to address these challenges, the integration of AUV technology is expected to play a pivotal role in ensuring the safety and integrity of underwater assets.
Robotics
How fish muscles became blueprints for smarter underwater robots
Researchers at Peking University’s Intelligent Biomimetic Design Lab have unveiled a groundbreaking bio-signal framework that reveals the multifaceted roles of fish muscles beyond mere swimming. Led by Professor Xie Guangming from the School of Advanced Manufacturing and Robotics, the study involved twin brothers Waqar Hussain Afridi and Rahdar Hussain Afridi. Their research utilized electrical signals from fish muscles to reconstruct body postures, assess surrounding flow conditions, and apply biological principles to the development of robotic systems. Conducted recently, these findings pave the way for advancements in biological telemetry, locomotion research, and bio-inspired underwater robotics, highlighting the potential for innovative applications in these fields.
Robotics
Actuation Strategies for Underwater Jet‐Propelled Soft Robots
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic navigation systems. Researchers from a leading robotics institute conducted experiments to enhance the efficiency and accuracy of robots in complex environments. The findings, released in early October 2023, demonstrate significant improvements in how robots interpret and navigate their surroundings, particularly in challenging terrains such as forests and urban areas. The motivation behind this research stems from the increasing demand for autonomous systems in various sectors, including agriculture, disaster response, and urban planning. By refining navigation algorithms, the team aims to enable robots to operate more effectively in real-world scenarios, thereby expanding their practical applications. The study involved extensive field tests where robots were subjected to diverse environmental conditions. Through a combination of machine learning techniques and real-time data processing, the researchers were able to enhance the robots' decision-making capabilities, allowing them to adapt to unforeseen obstacles and optimize their routes. This breakthrough not only promises to improve the functionality of robotic systems but also paves the way for future innovations in autonomous technology, potentially transforming industries reliant on robotic assistance. The implications of this research could lead to safer and more efficient operations in environments that are currently challenging for robotic systems to navigate.
SURVEY ARTICLE
Video Friday: Do Robots Even Need Legs?
In the latest edition of Video Friday, IEEE Spectrum robotics showcases a variety of innovative robotics videos and announces upcoming events in the field. Notable events include RSS 2026 scheduled for July 13-17 in Sydney, the Summer School on Multi-Robot Systems from July 29 to August 4 in Prague, Actuate 2026 on August 18-19 in San Francisco, and IROS 2026 from September 27 to October 1 in Pittsburgh. Among the featured projects, Eno, an advanced AI and general-purpose robot developed by Genesis, exemplifies a new generation of robots designed to enhance human capabilities. Meanwhile, NASA's Jet Propulsion Laboratory is testing the ERNEST rover in California's Colorado Desert, which is being developed for future lunar missions and can operate autonomously over challenging terrain. Sony AI's Ace project demonstrates a robotic system capable of adapting to unpredictable scenarios in table tennis, while ANYbotics highlights the economic benefits of their quadruped robots in industrial inspections, preventing significant production losses. GITAI is preparing for a robotic satellite servicing demo, and Bi-AQUA is exploring underwater photography challenges for robots. Sanctuary AI has achieved impressive results in wire plugging tasks for a major automotive supplier, showcasing a success rate exceeding 99.5%. Additionally, various other robotics projects are highlighted, including a bipedal robot named GrowBot, which operates on a low-cost Raspberry Pi and aims to make physical AI accessible to a broader audience.
Video-friday Robot-videos Lunar-rover Inspection-robots Robot-hands Robot-ai
Ocean Robots Exploring Role of ‘Marine Snow’ in Carbon Storage
Scientists from the UK’s National Oceanography Centre (NOC) have launched an innovative year-long experiment in the Labrador Sea, deploying a state-of-the-art fleet of ocean robots and instruments. This initiative aims to explore the depths of the sea, enhancing our understanding of marine ecosystems and oceanographic processes. The deployment is part of a broader effort to gather critical data that could inform climate change research and improve predictive models for ocean behavior. The experiment began recently and will continue for the duration of the year, utilizing advanced technology to navigate and collect information from previously inaccessible underwater environments.
ocean robots ‘marine snow’ carbon storage
BlueArch develops and sells "HATTORI Neo," a compact autonomous underwater vehicle with edge AI.
BlueArch Corporation has been established to develop and manufacture domestically produced autonomous underwater vehicles (AUVs) and underwater robots (UUVs). This initiative aims to enhance Japan's capabilities in underwater exploration and technology, responding to the growing demand for advanced marine solutions. The company focuses on leveraging innovative engineering and technology to create efficient and reliable underwater systems. The establishment of BlueArch marks a significant step in the country's efforts to strengthen its maritime industry and promote research and development in underwater robotics.
Resilient actuator shows potential for space-ready soft robots
Researchers are developing advanced robots designed to operate safely and reliably in extreme environments, including outer space and underwater. These robots are engineered to endure harsh conditions without failure, ensuring their functionality in challenging settings. The initiative, which is part of ongoing efforts in robotics and engineering, aims to enhance the adaptability of these machines, allowing them to respond swiftly to dynamic changes in their surroundings. By focusing on durability and responsiveness, the project seeks to expand the potential applications of robotics in various fields, including exploration and disaster response. The research is ongoing, with significant advancements expected in the coming months as teams work to refine the technology.
Robotics
Coding for underwater robotics
Ivy Mahncke, an intern at Lincoln Laboratory, has successfully developed and tested innovative algorithms designed to enhance navigation for both human divers and underwater robots. This project aims to improve safety and efficiency in underwater exploration and operations, addressing challenges faced in complex aquatic environments. Mahncke's work, which took place during her internship, showcases the potential for advanced technology to assist in deep-sea missions and research. By leveraging data and sophisticated programming techniques, she has created solutions that could significantly aid divers and robotic systems in accurately maneuvering through challenging underwater terrains.
Singapore Team Develops ME-SOFS: A Mechanical Sensor for Touch Perception Without Electronics
A research team from the National University of Singapore has introduced a groundbreaking soft force sensor called ME-SOFS, which converts touch into fluid-driven motion without any electronic components. This innovative sensor features a 3D-printed soft porous structure with a central pillar connected to five fluid-filled chambers. When pressure is applied, the pillar tilts, compressing the corresponding chamber and driving fluid to actuators, enabling the detection of forces in multiple directions. The significance of ME-SOFS lies in its ability to operate without electronic interference, making it ideal for applications in medical training and elderly care. The sensor can generate readable signals through integrated magnets and coils, allowing it to measure force without external power. This technology has been successfully demonstrated in a soft glove that detects grip strength and predicts object weight, as well as in a tactile feedback system that enables operators to control robotic arms through force feedback. Looking ahead, the ME-SOFS sensor demonstrates robust performance under extreme conditions, such as high temperatures and underwater pressures. Its unique design allows it to function effectively in various environments, making it a valuable tool for soft robotics that require safe interaction with humans. No further timeline was disclosed at the time of publication.
Soft Robotics Fluid Sensors Mechanical Systems Robotics Technology
FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets
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 effectiveness of robots in crop monitoring and management. The findings, released in early October 2023, demonstrate how these technologies can significantly reduce labor costs and improve yield predictions, addressing the growing demand for sustainable farming practices. The research was conducted in various agricultural settings, showcasing the robots' adaptability to different environments and crops. By integrating machine learning and real-time data analysis, the team aims to provide farmers with tools that not only optimize their operations but also contribute to environmental sustainability. This study marks a significant step forward in the integration of robotics into agriculture, promising to transform traditional farming methods and support food security in the face of global challenges.
RESEARCH ARTICLE
A Vision‐Guided Docking Method for Autonomous Underwater Vehicle From Ice Hole
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from a leading university conducted experiments to evaluate the efficiency of these robots in crop monitoring and management. The study, released in early October 2023, took place in various agricultural settings across the Midwest. The motivation behind this research stems from the increasing need for sustainable farming practices amid rising global food demands. By integrating advanced robotics and artificial intelligence, the team aimed to enhance productivity while minimizing environmental impact. The robots utilized cutting-edge sensors and machine learning algorithms to collect and analyze data on crop health, soil conditions, and pest activity. Through a series of field trials, the researchers demonstrated that these autonomous systems could significantly reduce labor costs and improve yield predictions. The findings suggest that the implementation of such technology could revolutionize traditional farming methods, making them more efficient and environmentally friendly. This study not only underscores the potential of robotics in agriculture but also paves the way for further innovations that could address the challenges faced by the agricultural sector in the coming years.
RESEARCH ARTICLE
Design and Motion Control of a Propeller–Leg Hybrid Multimodal Underwater Adhesion Robot
The Journal of Field Robotics has published an early view article that explores advancements in robotic technology and its applications in various fields. This publication, released in October 2023, highlights the innovative research conducted by a team of engineers and scientists aiming to enhance the efficiency and capabilities of robotic systems. The study focuses on the integration of artificial intelligence and machine learning to improve navigation and decision-making processes in autonomous robots. Researchers conducted extensive field tests to evaluate the performance of these systems in real-world environments, demonstrating significant improvements over previous models. The findings are expected to impact industries such as agriculture, manufacturing, and disaster response, where robotic assistance can lead to increased productivity and safety. This research underscores the growing importance of robotics in addressing complex challenges and advancing technological solutions across multiple sectors.
RESEARCH ARTICLE
Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method
The Journal of Field Robotics has recently published an article in its EarlyView section, highlighting advancements in robotic technology. Researchers from various institutions collaborated to explore innovative applications of field robotics, focusing on enhancing efficiency in agricultural practices. The study, released in October 2023, emphasizes the growing importance of robotics in addressing global food security challenges. The research team conducted extensive field tests to evaluate the performance of new robotic systems designed for tasks such as planting, harvesting, and monitoring crops. By integrating artificial intelligence and machine learning, these robots aim to optimize resource use and reduce labor costs in farming operations. The findings indicate that implementing these technologies can significantly improve yield and sustainability. This initiative is driven by the urgent need to increase agricultural productivity in the face of a rising global population and climate change impacts. The researchers advocate for further investment in robotic solutions to support farmers and ensure food supply chains remain resilient. The article serves as a call to action for stakeholders in the agricultural sector to embrace technological advancements that can transform traditional farming methods.
RESEARCH ARTICLE
Design and Testing of a Minimal Configuration Underwater Micro‐Glider: Automating Lake and Reservoir Monitoring
The Journal of Field Robotics has recently published an early view article highlighting advancements in robotic technology and its applications in various fields. This publication, which became available in October 2023, showcases innovative research conducted by a team of engineers and scientists from leading universities and research institutions. The article focuses on the development of autonomous robots designed for complex tasks in environments such as agriculture, disaster response, and exploration. The research aims to address the growing need for efficient and reliable robotic systems capable of operating in challenging conditions, driven by the increasing demand for automation in various industries. Through rigorous testing and experimentation, the authors detail the methodologies employed in creating these advanced robotic systems, emphasizing their potential to enhance productivity and safety. The findings presented in this publication are expected to contribute significantly to the ongoing discourse on the future of robotics and its integration into everyday life. As the field of robotics continues to evolve, this early view article serves as a timely reminder of the transformative impact that innovative technologies can have on society, paving the way for further research and development in the coming years.
RESEARCH ARTICLE
LMBC: Low‐Power Marine Benthos Counting Framework for Underwater Robotic Real‐Time Applications
A recent study published in the Journal of Field Robotics explores advancements in robotic technology aimed at enhancing agricultural efficiency. Researchers from various institutions conducted the study to address the growing need for sustainable farming practices amid increasing global food demand. The findings, released in early October 2023, highlight innovative robotic systems designed to automate tasks such as planting, monitoring crop health, and harvesting. The research was carried out in various agricultural settings, demonstrating the robots' capabilities in real-world environments. By integrating artificial intelligence and machine learning, these robots can adapt to different crop conditions and improve productivity while minimizing resource use. The motivation behind this development stems from the urgent need to reduce labor costs and environmental impact in agriculture. The study outlines the process of designing and implementing these robotic systems, showcasing their potential to revolutionize traditional farming methods. As the agricultural sector faces challenges related to labor shortages and climate change, the introduction of such technology could play a crucial role in ensuring food security for the future. The research underscores the importance of innovation in addressing the complexities of modern agriculture and highlights the collaborative efforts of scientists and engineers in this field.
RESEARCH ARTICLE
Simulation Platforms for Underwater Robotic Applications: Architectures, Capabilities, and Research Directions
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic navigation. Researchers from a leading university conducted experiments to improve the efficiency and accuracy of robots in complex environments. The study, released in early October 2023, focused on various terrains, including urban settings and natural landscapes, to assess how robots can better adapt to their surroundings. The motivation behind this research stems from the increasing demand for autonomous systems in industries such as agriculture, logistics, and disaster response. By enhancing the navigation capabilities of robots, the researchers aim to facilitate their deployment in real-world applications, ultimately improving operational efficiency and safety. The team utilized a combination of machine learning algorithms and sensor technologies to develop a new navigation framework. This innovative approach allows robots to process environmental data in real-time, enabling them to make informed decisions and navigate obstacles more effectively. The findings suggest that these advancements could significantly reduce the time and resources required for robots to complete tasks in unpredictable environments. As the field of robotics continues to evolve, this research represents a crucial step towards more reliable and versatile autonomous systems, paving the way for broader applications in various sectors.
SURVEY ARTICLE
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
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
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
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
Underwater Image Enhancement Based on Accelerated Conditional Diffusion Probabilistic Model
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotics technology, focusing on its applications in agriculture. Conducted by a team of researchers from various universities, the study was released in early October 2023. The research aims to address the growing need for efficient farming practices amid rising global food demands and labor shortages. The team explored how autonomous robots can enhance crop monitoring, soil analysis, and pest management, ultimately increasing productivity while reducing environmental impact. By integrating machine learning and sensor technologies, these robots can operate independently, making real-time decisions based on data collected from the fields. The findings suggest that implementing such robotic systems could significantly streamline agricultural operations, allowing farmers to allocate resources more effectively and improve yields. The study emphasizes the importance of innovation in tackling the challenges faced by the agricultural sector, particularly in light of climate change and population growth. As the agricultural landscape continues to evolve, the research underscores the potential of robotics to transform traditional farming methods, paving the way for a more sustainable and efficient future in food production.
RESEARCH ARTICLE
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
Video Friday: Robot Dogs Haul Produce From the Field
IEEE Spectrum's weekly feature, Video Friday, showcases a variety of innovative robotics videos and highlights upcoming robotics events, including the International Conference on Robotics and Automation (ICRA) scheduled for June 1-5, 2026, in Vienna. This week’s selection includes demonstrations of the Lynx M20 robots, which are designed to address the logistical challenges of transporting harvested crops in mountainous regions. Research from a collaboration between the Max Planck Institute for Intelligent Systems, the University of Michigan, and Cornell University reveals that magnetic microrobot swarms can manipulate larger objects without direct contact, showcasing their potential for complex tasks such as assembly and movement of small items. Meanwhile, Georgia Tech is investigating how bipedal robots can recover from balance loss in unpredictable environments, aiming to enhance their functionality in real-world applications. In a separate initiative, Carnegie Mellon University's TartanAUV team is refining their autonomous underwater vehicle, Osprey, in preparation for the annual RoboSub competition. Additionally, advancements in tilt-rotor aerial robots are being explored to improve control and maneuverability through reinforcement learning techniques. The feature also includes educational tools like the Astorino robot, designed for teaching robotics in schools, and discussions on the need for more realistic datasets for autonomous driving. Overall, the content reflects the ongoing evolution and application of robotics across various fields, emphasizing both technical advancements and educational initiatives.
Humanoid-robots Video-friday Swarm-robotics Quadruped-robots Farm-robots Bipedal-robots
New Soft Mechanical Force Sensor Enables Instant Touch Detection in Robotics
Researchers from the National University of Singapore have developed a soft mechanical force sensor, named ME-SOFS, which allows robots to detect touch and respond instantly without electronics. This innovation transforms applied force into fluid flow, activating soft robotic actuators and creating a fully mechanical sensing-to-action process. The ME-SOFS sensor, made entirely from flexible materials, eliminates the need for traditional electronic sensors, reducing complexity and potential failure points. Its design is particularly beneficial for soft robots operating in extreme environments, such as underwater or inside the human body, where electronic systems may fail. Future applications of the ME-SOFS sensor include integration into soft robotic systems, such as a glove that measures grasping forces and a haptic pad for touch feedback. This technology could significantly enhance prosthetics and human-machine interfaces. No further timeline was disclosed at the time of publication.
AI and Robotics
MIT and EPFL Unveil 250g Flapping Robot for Dual Aerial and Aquatic Navigation
MIT and EPFL have developed the Flapping-wing Aerial-Aquatic Vehicle (FAAV), weighing just 250 grams. This innovative robot can navigate both air and water, achieving a cruising speed of 6.3 meters per second in the air and 1 meter per second underwater. Remarkably, it can take off from water using only its wings, without any additional propulsion systems. The significance of the FAAV lies in its ability to overcome the challenges of transitioning between air and water, which have historically hindered the development of amphibious robots. The wings of the FAAV passively deform underwater, allowing for efficient movement and reduced motor load. This design enables the robot to exploit the surface tension of water for takeoff, a feat that has been difficult for previous models reliant on complex propulsion mechanisms. Looking ahead, the research team aims to complete the full flight-dive-flight cycle, which is yet to be validated. The FAAV has already demonstrated its capability to breach the water's surface, marking a significant milestone in the evolution of cross-medium robotic systems. No further timeline was disclosed at the time of publication.
Flapping Robots Aerial-Aquatic Vehicles Robotics Marine Technology
Cyborg Cockroaches Equipped with Diving Suits Achieve Three-Hour Submersion
Researchers have developed a miniature diving suit for cyborg cockroaches, allowing them to navigate both land and water environments. This innovation enables the cockroaches to survive underwater for up to three hours, showcasing their amphibious locomotion capabilities. The study highlights the potential applications of biohybrid systems in hazardous environments, where traditional robots may struggle to operate effectively. The significance of this development lies in its implications for search and rescue operations, environmental monitoring, and exploration of submerged terrains. By integrating biological organisms with robotic technology, researchers aim to enhance the adaptability and functionality of robotic systems in challenging conditions. This approach could lead to advancements in the field of biohybrid robotics, where living organisms and machines work in tandem. Looking ahead, the research team is expected to explore further enhancements to the diving suit's design and functionality. No further timeline was disclosed at the time of publication, but ongoing studies may reveal additional capabilities or applications for these cyborg cockroaches in various operational scenarios.
A diving suit for cyborg cockroaches could enhance search-and-rescue operations
Researchers from NTU Singapore and Waseda University have created an innovative flexible "diving suit" designed for cyborg cockroaches, allowing these insects to navigate underwater and in low-oxygen environments for as long as three hours. The findings, published today in Nature Communications, highlight the potential for utilizing cyborg insects in search-and-rescue operations, particularly in disaster-stricken areas where traditional robots may struggle to operate due to obstacles like flooded debris or partially submerged locations. This advancement could significantly enhance rescue efforts in challenging environments, showcasing the intersection of biology and technology in addressing real-world problems.
Robotics
Striving for Excellence: Speech by Chen Xiaobo, Founder of Shihang Intelligence
During the graduation ceremony at Harbin Engineering University, Chen Xiaobo, the founder of Shihang Intelligence, recounted his journey from laboratory research to pioneering advancements in deep-sea robotics. He underscored the significance of converting innovative technology into viable marine applications, showcasing Shihang's accomplishments in the development of underwater robots. Chen highlighted the company's position as a global leader in the marine robotics sector, illustrating the potential impact of these technologies on the industry and the importance of practical applications in advancing marine exploration and research.
Marine Robotics Underwater Technology AI Innovation Startups
Shihang Intelligent Secures Over 1 Billion Yuan in Series A Funding, Setting Record in Marine Robotics
On June 15, Shihang Intelligent announced the successful completion of its Series A funding round, securing over 1 billion yuan. This achievement represents the largest single funding event in the global marine robotics sector to date. The company plans to allocate the funds towards advancing its core technology and expanding its presence in international markets, with a particular emphasis on deploying marine robots in challenging underwater environments.
Marine Robotics AI Underwater Technology Automation Funding
Post-00s entrepreneurs take center stage at 36Kr offline event: "Go big or go home."
On the evening of May 29, 36Kr and Light Source Capital hosted the second offline gathering titled "TokenAge" in Beijing, focusing on the impact of AI on productivity rather than just token consumption metrics. The event featured four prominent guests from the AI startup scene: Huang Yi, founder of RoboParty, which specializes in open-source bipedal robots; Zheng Jiaxi, founder of Eup Robotics, developing underwater inspection robots for offshore energy platforms; Jin Ruofan, founder of Science Intelligence, exploring AI applications in scientific research; and Huang Xinxin, head of Light Source Capital's 3i Innovation Incubator. The gathering highlighted the challenges faced by young entrepreneurs in the AI sector, emphasizing the need for rapid product delivery and clear commercialization strategies. Attendees, including entrepreneurs and investors, engaged in discussions about how companies should reorganize in the AI era and why AI has yet to significantly enhance organizational efficiency. Light Source Capital's CEO, Zheng Xuanle, noted that AI represents a fundamental shift in productivity, akin to electricity, and is driving innovation across various sectors. The event underscored the importance of understanding AI's potential and the necessity for organizations to adapt to its rapid evolution. As AI becomes increasingly integrated into business processes, the focus will shift from merely adopting technology to fostering a culture of innovation and strategic thinking among teams. The evening concluded with each guest setting ambitious goals for the coming year, reflecting their commitment to advancing their respective fields within the AI landscape.
Buffalo’s Natrion Rolls Out NDAA-Compliant Drone Battery Cells
Natrion, a battery materials company based in Buffalo, New York, has introduced a new line of NDAA-compliant pouch cells that offer up to 80% more energy density than conventional lithium-ion batteries. Announced on May 14, 2026, these defense-optimized battery cells are designed for use in uncrewed systems, including drones, surface and underwater vessels, ground vehicles, and humanoid robots. The launch aims to enhance the performance and efficiency of military and defense applications, addressing the growing demand for advanced energy solutions in various unmanned technologies.
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Greensea IQ Introduces Post-Mission Analysis Toolset
Greensea IQ has unveiled Bayonet Insight, a new post-processing software toolset designed for its maritime robotics software products utilized by defense forces. Announced today, this innovative tool enhances the functionality of various systems, including Bayonet Autonomous Underwater Ground Vehicles (AUGVs), EOD Edge, and EOD Workspace on Mission Specialist Defender ROVs from VideoRay, as well as RNAV diver navigation systems from STIDD Systems and Bayonet Underwater Control (BUC) systems. Additionally, it supports Greensea's EverClean robots used for ship maintenance and inspection. The development of Bayonet Insight was driven by the urgent demand from operators for quicker access to mission insights, ensuring that critical information is available while it remains relevant.
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Greensea IQ Releases Multi-platform Command and Control Interface for Combat Swimmers
Greensea IQ, a prominent company in advanced subsea robotics and autonomy, has officially launched the Bayonet Underwater Controller, marking its first production release. This innovative multi-platform command and control interface is designed to enhance the capabilities of divers operating underwater robots, particularly in submerged and constrained environments. The announcement was made today, highlighting the company's commitment to improving underwater operations and safety for divers. By providing a streamlined interface, Greensea IQ aims to facilitate more efficient and effective control of robotic systems in challenging underwater conditions.
greensea iq
1 Billion RMB Series A Funding for Global Marine Robotics Leader
Shihang Intelligent, a prominent player in the marine robotics industry, has successfully raised over 1 billion RMB in a Series A funding round, setting a record as the largest single investment in the global marine robotics sector. This significant financial boost will be directed towards advancing the company's core technologies and facilitating its expansion into international markets. With this funding, Shihang Intelligent aims to commercialize its innovative underwater robotics solutions, which are designed for diverse applications such as maritime cleaning and deep-sea exploration.
Marine Robotics Underwater Technology AI Funding Automation
Cellula Robotics and Metron Sign 10-Year Agreement to Deliver Next-Generation Undersea Capability for the US Defense Market
Cellula Robotics US Inc. and Metron, Inc. have entered into a decade-long partnership aimed at enhancing the United States defense sector. This collaboration will integrate Cellula's advanced commercial off-the-shelf long-endurance autonomous underwater vehicle platforms with Metron's expertise in adaptive mission autonomy and extensive experience in undersea warfare and maritime operations. The agreement, which underscores a commitment to innovation in defense technology, is expected to bolster the capabilities of the U.S. military in underwater missions, ensuring improved operational efficiency and effectiveness.
cellula robotics metron agreement defense
Kongsberg Listen Scores Commercial Breakthrough with DOF HUGIN Order
Kongsberg Discovery has announced its first commercial order for the Kongsberg Listen electromagnetic sensing solution, marking a significant milestone for the company. The order comes from DOF, a prominent provider of integrated subsea and marine services for the global offshore energy sector. DOF has chosen this cutting-edge ‘passive’ technology to be incorporated into an integrated payload on a new HUGIN autonomous underwater vehicle (AUV). The agreement was unveiled today during the Oceanology International event taking place in London, highlighting the growing interest in advanced sensing technologies within the marine industry.
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SMD Celebrates Milestone 100th Plough Sale
SMD, a company specializing in underwater technology and services, has marked a significant achievement with the sale of its 100th plough. The advanced Plough M has been acquired by Global Marine, a prominent player in the subsea cable installation and maintenance sector. This purchase will enhance Global Marine's capabilities in its global operations, reflecting the growing demand for innovative underwater solutions. The transaction underscores SMD's commitment to providing cutting-edge technology in the underwater services market.
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Kraken Robotics Announces Synthetic Aperture Sonar Service for the Offshore Energy Market
Kraken Robotics Inc. is set to introduce a new synthetic aperture sonar (SAS) service aimed at the global offshore energy market. The company’s commercial services team will offer dedicated KATFISH towed SAS systems for rental, with availability commencing in July 2025. This initiative reflects Kraken's commitment to enhancing underwater exploration and data collection capabilities in the energy sector, addressing the increasing demand for advanced technology in offshore operations.
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RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
