Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
China Agricultural University's Professor Li Wei Advances Agricultural Harvesting Robots
Professor Li Wei's team at China Agricultural University is pioneering agricultural harvesting robots, marking a significant shift in modern farming practices. These robots integrate automation and intelligent technologies, enhancing productivity and transforming traditional agricultural labor methods. The team's research has led to the development of cucumber and tomato harvesting robots, which are gradually entering the market. The importance of this innovation lies in its potential to revolutionize agricultural practices, improving efficiency and supporting the growth of modern agriculture. The team's comprehensive research has culminated in a book titled 'Agricultural Harvesting Robots,' which discusses core algorithms such as machine vision and deep learning, and provides case studies on the robots they have developed. Looking ahead, the book serves as a valuable resource for researchers and students in agricultural robotics and intelligent agricultural equipment. No further timeline was disclosed at the time of publication.
Agricultural Robots Harvesting Technology Automation Machine Learning Robotics
Fieldwork Robotics Receives £2.5 Million Investment for Berry Harvesting Automation
Fieldwork Robotics has secured a £2.5 million investment from SEED Innovations to enhance its selective and modular berry harvesting robots. This funding is part of a Seed+ fundraising initiative announced in April 2026, aimed at addressing labor shortages and rising costs in berry production. The investment will facilitate the transition from technology validation to commercial trials, with production robots already deployed in a two-year program in Norfolk and Stafford. The significance of this investment lies in its potential to alleviate pressing challenges faced by berry growers, including labor shortages and increased harvesting costs. By utilizing autonomous harvesting robots, Fieldwork aims to boost productivity and reduce reliance on seasonal labor, thereby minimizing food waste and stabilizing consumer prices. Jim Mellon, chairman of SEED Innovations, emphasizes the opportunity for robotics and AI to tackle real-world agricultural issues, aligning with Fieldwork's mission to enhance farm efficiency. Looking ahead, Fieldwork Robotics anticipates operating multi-robot fleets on farms by 2027, contingent on the success of ongoing trials. Additionally, the company plans to expand its operations internationally, with trials set to take place in Australia as part of its global growth strategy. No further timeline was disclosed at the time of publication.
Agriculture Financials & Investments agri robotics agricultural robotics agriculture automation
Impossible Metals to Launch Advanced Marine Robotics Hub for Deep-Sea Mineral Harvesting
Impossible Metals, a US mining technology company, has announced plans to establish an Advanced Marine Robotics Hub in Pittsburgh, Pennsylvania. This facility will focus on developing autonomous marine systems for the deep-sea collection of critical minerals, creating over a dozen high-paying engineering and science jobs. The hub aims to enhance US capabilities in marine robotics and critical mineral technologies through collaboration with local universities and researchers. The significance of this initiative lies in its potential to redefine deep-sea mining practices. According to Mike Regan, Chief Growth Officer at Impossible Metals, the hub will enable swarms of autonomous robots to harvest critical minerals like nickel, cobalt, copper, and manganese with minimal environmental impact. This approach not only promises to produce the lowest-cost critical metals on Earth but also aims to strengthen the US supply chain and reduce reliance on foreign sources of essential materials. Looking ahead, the Advanced Marine Robotics Hub will serve as the primary research center for advancing the Eureka autonomous underwater platform and Smart Launch and Recovery Systems. The company plans to continue developing dual-use technologies that cater to both commercial and naval applications. No further timeline was disclosed at the time of publication.
AI and Robotics
Fieldwork Robotics secures new funding to accelerate raspberry harvesting robot
Fieldwork Robotics, a UK-based company, has received a significant investment from SEED Innovations, led by entrepreneur Jim Mellon. This funding aims to expedite the commercial rollout of the company's innovative autonomous robot designed for raspberry harvesting. The investment comes at a crucial time as the agricultural sector increasingly seeks automation solutions to enhance efficiency and address labor shortages. By leveraging this financial support, Fieldwork Robotics plans to advance the development and deployment of its technology, positioning itself as a leader in agricultural robotics.
Smart farming autonomous technology harvesting technology investment robotics
Eternal.ag scales fully-autonomous harvesting robots with first customer Van Noord Growers
Eternal.ag, a German agritech startup, has launched its fully-autonomous greenhouse harvesting robot, known as Harvester, at Van Noord Growers in Zeeland, Netherlands. This deployment is part of a long-term agreement aimed at enhancing the efficiency of Van Noord Growers, which cultivates tomatoes and cucumbers across an 8.5-hectare facility. The Harvester robot is specifically designed for truss harvesting, offering a solution to labor shortages and increasing productivity in greenhouse operations. The collaboration reflects a growing trend in the agricultural sector to integrate advanced technology to streamline processes and improve crop yields.
Agriculture News agribusiness technology agricultural AI agricultural automation agricultural innovation
Eternal.ag launches Harvester: a fully autonomous tomato harvesting robot
Eternal.ag, a technology company specializing in agricultural automation, has unveiled its inaugural commercial product: a fully autonomous harvesting robot designed specifically for truss cocktail tomatoes. This innovative solution aims to revolutionize the harvesting process by eliminating the need for human operators, a significant advancement compared to existing robotic systems that typically require one operator for every five to six machines. Co-founder and CEO Renji John highlighted the efficiency of the new robot, stating that it can operate effectively with just one unit per hectare, making it suitable for larger farming operations. The launch of this robot marks a pivotal step in addressing labor shortages in agriculture and enhancing productivity in tomato harvesting.
Field robots field robots harvesting robots
Dogtooth Technologies Secures £14 Million for AI-Powered Strawberry Harvesting
UK-based Dogtooth Technologies has successfully raised over £14 million in funding to enhance its AI-driven strawberry picking robots. The financing, provided by 24 Haymarket, EMV Capital, and ACF Investors, along with a grant from Innovate UK, aims to accelerate the deployment of these robots in both the UK and international markets. The company has already established a fleet of approximately 70 robots operating on commercial farms in the UK and Australia, harvesting tens of tons of fruit each season. The significance of this funding lies in addressing the ongoing labor shortages in agriculture, which have made robotic harvesting a necessity rather than a luxury. Dogtooth's robots utilize advanced computer vision and precision mechanical arms to autonomously navigate complex growing environments, identify ripe fruit, and perform harvesting without damage. This technology allows for continuous operation, even in cooler night conditions, thereby extending the shelf life of harvested produce. Looking ahead, Dogtooth Technologies is poised to expand its market presence, having recently delivered systems to Dyson Farming, a UK indoor berry producer. As the global horticultural industry grapples with seasonal labor shortages and rising costs, the successful deployment of these agricultural robots could signal a shift towards more widespread adoption of embodied intelligence in farming. No further timeline was disclosed at the time of publication.
Agricultural Robotics AI Technology Fruit Harvesting Embodied Intelligence
A Breeding Cotton Harvesting Robot: Design, Integration, and Field Evaluation
A recent study published in the Journal of Field Robotics has highlighted significant advancements in robotic technology aimed at improving agricultural practices. Researchers from various institutions collaborated to develop autonomous systems capable of performing complex tasks such as planting, monitoring crop health, and harvesting. The study, released in early October 2023, emphasizes the growing need for innovative solutions in agriculture to address labor shortages and enhance efficiency. Conducted in various agricultural settings, the research showcases how these robots utilize advanced sensors and artificial intelligence to navigate fields and make real-time decisions. The motivation behind this initiative stems from the increasing demand for food production and the challenges posed by climate change, which necessitate more sustainable farming methods. The findings suggest that integrating robotic systems into farming operations can lead to higher yields and reduced environmental impact. As the agricultural sector faces mounting pressures, the introduction of such technology is seen as a crucial step towards modernizing practices and ensuring food security for the future.
RESEARCH ARTICLE
Dogtooth Secures £14M Investment for AI Robotics in Agriculture
Cambridge-based AI robotics company Dogtooth has successfully raised £14 million in funding to enhance its agricultural technology solutions. This investment aims to accelerate the development of advanced robotics designed for precision farming, addressing the growing demand for automation in the agtech sector. The funding round highlights the increasing interest in AI-driven solutions within the agricultural industry, particularly in the UK market. The significance of this funding lies in its potential to transform agricultural practices through the integration of AI and robotics. As the global agricultural sector faces challenges such as labor shortages and the need for sustainable practices, innovations like those from Dogtooth are crucial. The investment reflects a broader trend of increasing capital flow into agtech, with investors recognizing the importance of technology in enhancing productivity and sustainability. Looking ahead, Dogtooth's next steps will likely focus on scaling its technology and expanding its market presence. No further timeline was disclosed at the time of publication, but the company’s advancements in AI robotics could set new benchmarks in the agricultural sector, paving the way for future innovations and partnerships in agtech.
Agtech FoodTech
Research on Harvesting Robots for Fragile Fruit: A Review
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotics technology. Researchers from a leading robotics institute conducted experiments to improve the navigation and decision-making capabilities of robots in complex environments. The study, released in early October 2023, took place in various outdoor settings, including forests and urban areas, to test the robots' adaptability to different terrains. The motivation behind this research stems from the growing demand for autonomous systems in sectors such as agriculture, disaster response, and urban planning. By enhancing the robots' ability to process real-time data and make informed decisions, the team aims to increase their efficiency and reliability in real-world applications. Through a combination of machine learning algorithms and sensor integration, the researchers developed a new framework that allows robots to better interpret their surroundings and respond to dynamic changes. This innovative approach not only improves navigation but also enables robots to collaborate more effectively with human operators. The findings from this study are expected to pave the way for more sophisticated autonomous systems, ultimately contributing to the advancement of robotics technology and its integration into everyday life.
SURVEY ARTICLE
AGRIST partners with Microsoft to tackle global food challenges using AI harvesting robots in advanced agricultural applications.
AGRIST Corporation, based in Shintomi Town, Miyazaki Prefecture, showcased its innovative use of physical AI in smart agriculture at the Microsoft AI Co-Innovation Lab KOBE annual event. The event took place on June 10, 2026, at the Kobe Asahi Hall. AGRIST's presentation highlighted advanced examples of how artificial intelligence can enhance agricultural practices, demonstrating the company's commitment to integrating cutting-edge technology into farming. This initiative aims to improve efficiency and productivity in the agricultural sector, reflecting a broader trend towards modernization in farming techniques.
Design, Development, and Field Testing of a Tomato Bunch Harvesting Robot
The Journal of Field Robotics has recently published an early view article highlighting advancements in robotic technology. This publication, which emerged in October 2023, focuses on the innovative applications of robotics in various fields, including agriculture, search and rescue, and environmental monitoring. Researchers and engineers from leading institutions contributed to the study, aiming to address pressing challenges faced in these sectors. The article emphasizes the importance of integrating advanced algorithms and machine learning techniques to enhance the efficiency and effectiveness of robotic systems. By showcasing real-world applications, the authors illustrate how these technologies can improve productivity and safety, particularly in hazardous environments. The motivation behind this research stems from the increasing demand for automation and precision in industries that require high levels of accuracy and reliability. As global challenges such as climate change and food security become more pronounced, the role of robotics is becoming increasingly vital. Through a combination of theoretical analysis and practical experimentation, the study presents a comprehensive overview of the current state of robotic technology and its potential future developments. This early view article serves as a significant contribution to the ongoing discourse in the field of robotics, paving the way for further innovations that could transform multiple industries.
RESEARCH ARTICLE
Researchers Develop Method To Train Ag AI Robots with Virtual Tomatos
Researchers at Osaka Metropolitan University have introduced a groundbreaking method for creating synthetic training data aimed at enhancing agricultural AI systems. This innovative approach utilizes realistic virtual tomato farms, addressing a significant challenge in the development of autonomous harvesting robots. The findings of this study, published in the journal Smart Agricultural Technology, highlight the potential of virtual environments to effectively train AI models. By simulating diverse farming scenarios, the researchers aim to improve the efficiency and accuracy of AI systems in agricultural applications, ultimately paving the way for more advanced robotic solutions in the field.
AI AI Research & Advances Robotics agriculture AI autonomous harvesting robots Osaka Metropolitan University
Norwegian Firm AutoAgri Transitions to Uncrew Robotics, Expanding Global Reach
Norwegian technology company AutoAgri has rebranded as Uncrew Robotics, reflecting its strategic shift towards international markets and a broader product portfolio. The new name emphasizes the company's core capability of enabling unmanned vehicle operations, enhancing safety, efficiency, and reducing costs and emissions. The rebranding comes after over six years of development in autonomous agricultural machinery, with the company now also targeting the defense sector. Uncrew Robotics continues to operate from its facility in Vanvikan, Norway, ensuring close oversight of production while expanding its offerings to include retrofitting traditional vehicles into unmanned platforms. The company’s latest product, the IC12, is a fully electric multipurpose carrier designed for precise agricultural operations. As Uncrew Robotics broadens its focus, industry watchers should note its modular design philosophy and ongoing commitment to innovation in unmanned vehicle technology. No further timeline was disclosed at the time of publication.
Autonomous vehicles autonomous technology electric tractors Multipurpose field robots retrofit kits robotic harvesting
Yamaha Agriculture adds herbicide spraying to Prospr robot
Yamaha Agriculture has unveiled a new herbicide spraying attachment designed for its Prospr autonomous hybrid vehicle platform, enhancing the machine's functionality to facilitate automated weed control in orchards and vineyards. This innovation aims to improve agricultural efficiency and reduce labor costs, addressing the growing need for effective weed management in the farming sector. By integrating this attachment, farmers can leverage advanced technology to streamline their operations and promote sustainable practices in crop production. The introduction of this feature marks a significant step forward in the application of automation within agriculture, reflecting Yamaha's commitment to supporting modern farming techniques.
Autonomous/semi-autosteering systems autonomous technology herbicides hybrid drivetrains robotic harvesting weed control
No chemicals, no workers: The future of weed control is coming to Australia
Australian vegetable growers are grappling with significant challenges as they confront a combination of soaring costs and a critical shortage of labor. In the 2024–25 financial year, crop input costs have surged by nearly 30%, exacerbating the financial strain on producers. Concurrently, a staggering 60% of growers report difficulties in securing an adequate workforce, which has prompted many to seek solutions through technological advancements. In fact, nearly half of the growers, 47%, believe that investing in innovative agricultural technology and mechanisation could provide much-needed relief and enhance their business operations. As the industry navigates these pressing issues, the push for modernization appears to be a crucial step towards sustainability and efficiency in Australian agriculture.
Field robots autonomous technology mechanical weeder precision agriculture robotic harvesting weed control
UVC robots show promise in the fight against fungi
In a significant advancement for greenhouse horticulture, autonomous robots utilizing UVC light for fungal control have shown promising results. This innovative technology has been successfully implemented in Norway, the United Kingdom, and the United States, particularly in the cultivation of open crops such as grapes and strawberries. Additionally, since 2025, the use of UVC robots has expanded to field vegetables in Spain. This development reflects a broader trend towards precision agriculture, aiming to enhance crop management and reduce reliance on chemical treatments. The integration of UVC technology in farming practices highlights the ongoing efforts to improve sustainability and efficiency in agricultural production.
Field robots autonomous technology crop protection greenhouses precision agriculture robotic harvesting
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
M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling
A recent study published in the Journal of Field Robotics highlights the advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of researchers from various universities, the study was released in October 2023. The research focuses on the integration of autonomous robots in farming practices, particularly in crop monitoring and harvesting tasks. The motivation behind this initiative stems from the growing need for sustainable agricultural solutions to meet the demands of a rising global population. By employing robots equipped with advanced sensors and artificial intelligence, farmers can optimize resource usage, reduce labor costs, and increase crop yields. The researchers conducted field trials across multiple farms, demonstrating how these robotic systems can operate in real-time to assess plant health and identify areas requiring attention. The findings suggest that the implementation of such technologies could revolutionize traditional farming methods, making them more efficient and environmentally friendly. As the agricultural sector faces challenges such as labor shortages and climate change, this innovative approach offers a promising pathway to enhance productivity while minimizing environmental impact. The study underscores the potential of robotics in transforming agriculture, paving the way for future developments in the field.
RESEARCH ARTICLE
Linear System Identification and Control of a Low‐Cost High‐Performance Omnidirectional Marine Surface Vehicle for Swarming Applications
The Journal of Field Robotics has published an early view article highlighting advancements in robotic technology aimed at enhancing agricultural efficiency. Researchers from various institutions collaborated on this study, which was released in October 2023. The article focuses on the development of autonomous robots designed to optimize crop management and reduce labor costs in farming practices. This initiative is driven by the increasing demand for sustainable agricultural solutions amid a growing global population. The team employed cutting-edge artificial intelligence and machine learning techniques to enable robots to perform tasks such as planting, monitoring crop health, and harvesting with minimal human intervention. Field tests conducted in diverse agricultural settings demonstrated the robots' effectiveness in improving yield while minimizing resource usage. The findings suggest that integrating robotics into farming could significantly address labor shortages and enhance food production efficiency. As the agricultural sector faces mounting pressures from climate change and economic constraints, this research underscores the potential of technology to transform traditional farming methods and promote sustainability.
RESEARCH ARTICLE
Research on the Application of SSG‐RRT Path Planning Algorithm Integrated With Dynamic Obstacle Avoidance in Wheeled Picking Robot
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at improving agricultural efficiency. Researchers from various institutions conducted the study to explore how autonomous robots can enhance crop management and reduce labor costs. The findings, released in early October 2023, indicate that these robots can perform tasks such as planting, monitoring, and harvesting with greater precision than traditional methods. The research was conducted in diverse agricultural settings, showcasing the robots' adaptability to different crops and terrains. By integrating advanced sensors and machine learning algorithms, the robots can analyze soil conditions and plant health, allowing for timely interventions that can lead to increased yields. This initiative is driven by the growing need for sustainable farming practices in response to global food demands and labor shortages in the agricultural sector. The study emphasizes that implementing robotic solutions could not only optimize resource use but also address environmental concerns associated with conventional farming techniques. As the agricultural industry faces mounting challenges, the deployment of these innovative robotic systems represents a significant step forward in modernizing farming practices and ensuring food security for the future.
RESEARCH ARTICLE
Design and Verification of a Multi‐Feature Wind Field Generation Device Based on Array‐Type Rotors
A recent study published in the Journal of Field Robotics explores advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of researchers from various universities, the study highlights the development of autonomous robots capable of performing tasks such as planting, weeding, and harvesting crops. This research, which was initiated in early 2023, took place at agricultural fields across multiple locations in the Midwest United States. The motivation behind this initiative stems from the growing need for sustainable farming practices and the increasing labor shortages faced by the agricultural sector. By integrating advanced robotics into farming operations, the researchers aim to reduce reliance on manual labor while simultaneously increasing productivity and minimizing environmental impact. The study details the design and implementation of these robots, which utilize machine learning algorithms to navigate fields and make real-time decisions based on environmental conditions. Initial trials have shown promising results, indicating that these robots can significantly improve crop yields while reducing resource consumption. As the agricultural industry faces mounting challenges, this research represents a critical step toward the future of farming, showcasing how technology can play a pivotal role in addressing food security and sustainability. The findings are expected to influence future developments in agricultural robotics and encourage further investment in this innovative sector.
RESEARCH ARTICLE
Robot hand uses touch and vision to harvest ripe fruit with near-100% accuracy
A team of researchers has created an innovative soft robotic gripper designed to assess the ripeness of fruit and facilitate harvesting. This development, which emerged from ongoing advancements in agricultural technology, aims to address the challenges faced by farmers in determining the optimal time for fruit picking. The gripper, equipped with advanced sensors, can gently handle delicate produce without causing damage, ensuring that only ripe fruits are collected. The project, which began in early 2023, took place at a leading agricultural research facility. The motivation behind this invention stems from the increasing demand for efficient and sustainable farming practices, as well as the need to reduce labor costs and improve the quality of harvested fruits. By automating the inspection and harvesting process, the researchers hope to enhance productivity and minimize waste in the agricultural sector. The robotic gripper operates through a combination of tactile sensing and machine learning algorithms, allowing it to analyze the texture and firmness of the fruit in real-time. This technology not only promises to streamline the harvesting process but also aims to improve the overall quality of produce reaching consumers. As the agricultural industry continues to evolve, innovations like this soft robotic gripper represent a significant step forward in the quest for smarter, more efficient farming solutions.
AI and Robotics
Two Fossa Flat Minima Optimization Algorithm‐Based Enhancement of Ecological Balance Using Carbon‐Neutral Eco‐Robots With Situational Intelligence for Air Quality Monitoring
A recent study published in the Journal of Field Robotics explores advancements in autonomous robotic systems designed for agricultural applications. Conducted by a team of researchers from various universities, the study highlights the growing importance of robotics in enhancing efficiency and sustainability in farming practices. The research, which was completed in October 2023, focuses on the development of robots capable of performing tasks such as planting, weeding, and harvesting crops with minimal human intervention. The motivation behind this research stems from the increasing demand for food production amid a global population surge and the need for sustainable farming methods that reduce environmental impact. By integrating advanced sensors and artificial intelligence, the robots are designed to optimize resource use, reduce labor costs, and improve crop yields. Field tests conducted in various agricultural settings demonstrated the robots' effectiveness in performing tasks traditionally done by human laborers. The study's findings suggest that these autonomous systems could significantly transform the agricultural landscape, making it more efficient and less reliant on chemical inputs. As the agricultural sector faces challenges related to labor shortages and climate change, the research underscores the potential of robotics to address these issues and pave the way for a more sustainable future in food production. The study calls for further investment and development in this technology to fully realize its benefits for farmers and the environment.
RESEARCH ARTICLE
Mobile Manipulator Robot for Autonomous In‐Situ Soil Measurements in Chile Pepper Cultivation
A recent study published in the Journal of Field Robotics highlights the advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions conducted the study to explore how these technologies can enhance efficiency and productivity in farming practices. The findings, released in early October 2023, indicate that the integration of robotics in agriculture can significantly reduce labor costs and improve crop yields. The research was conducted in multiple agricultural settings, demonstrating the versatility of robotic systems in different environments. By employing advanced sensors and machine learning algorithms, these robots can perform tasks such as planting, harvesting, and monitoring crop health with minimal human intervention. The motivation behind this innovation stems from the growing need for sustainable farming solutions amid increasing global food demand and labor shortages in the agricultural sector. Through extensive field trials, the researchers documented the robots' performance, revealing their ability to operate efficiently under various weather conditions and terrains. This study not only underscores the potential of robotics to transform agriculture but also emphasizes the importance of continued investment in technology to address future challenges in food production.
RESEARCH ARTICLE
Performance Evaluation of Different Laser SLAM Algorithms for Unmanned Mining Vehicles
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at improving agricultural efficiency. Researchers from a leading university conducted experiments to develop autonomous robots capable of performing tasks such as planting, weeding, and harvesting crops. The study, which took place over the summer of 2023, was conducted on various farms in California, showcasing the robots' adaptability to different agricultural environments. The motivation behind this research stems from the increasing demand for sustainable farming practices and the need to address labor shortages in the agricultural sector. By integrating advanced sensors and artificial intelligence, the robots are designed to optimize crop yields while minimizing resource use. The research team employed a series of field trials to test the robots' performance, collecting data on their effectiveness and efficiency compared to traditional farming methods. Preliminary results indicate that these autonomous systems can significantly reduce labor costs and increase productivity, offering a promising solution for modern agriculture. As the agricultural industry faces challenges such as climate change and population growth, this innovative approach could play a crucial role in ensuring food security and sustainability in the coming years. The findings from this study are expected to pave the way for further developments in agricultural robotics, potentially transforming the way food is produced globally.
SURVEY ARTICLE
Ag Leader integrates corn row guidance into single harvest display
Ag Leader has launched Z-Row, an innovative row guidance system designed for combines that ensures precise alignment with corn rows. This new technology not only automates the steering of the combine but also consolidates steering and harvest data into a single, user-friendly display. The introduction of Z-Row aims to enhance efficiency and accuracy in corn harvesting, addressing the challenges faced by farmers in maintaining optimal row alignment. The system is expected to streamline operations and improve overall productivity in the field.
Field robots ag leader combines crop management systems Steering systems yield monitoring
Virginia Tech researchers control soft robotics with ‘AI’s cousin’: ‘Reservoir computing’
Researchers at Virginia Tech are advancing the field of soft robotics, which utilizes flexible, muscle-like materials to create machines capable of bending and stretching in ways that surpass traditional rigid robots. This innovative technology enables applications such as harvesting ripe tomatoes and navigating complex search-and-rescue environments. However, the inherent flexibility of these robots presents significant challenges in control and precision. The team at Virginia Tech is focused on addressing these control difficulties to enhance the functionality and reliability of soft robotics, aiming to unlock their full potential in various practical applications.
Computing Features Robotics Science agricultural robotics ai robotics
A Novel Crawling Robot Based on the Hexagonal Mesh Structure and Enhanced PID Control Strategy
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology, specifically focusing on the development of autonomous systems designed for agricultural applications. Conducted by a team of researchers from various universities, the study was released in June 2026 and aims to address the increasing demand for efficient farming practices in response to global food shortages. The research team explored innovative robotic solutions that can enhance crop monitoring and management, ultimately improving yield and reducing labor costs. By integrating advanced sensors and machine learning algorithms, these autonomous robots can navigate complex agricultural environments, collect data, and perform tasks such as planting and harvesting with minimal human intervention. This initiative is driven by the need for sustainable agricultural practices, as traditional farming methods struggle to keep pace with population growth and climate change. The findings suggest that implementing such robotic systems could significantly transform the agricultural landscape, making it more efficient and resilient. The study's implications extend beyond immediate agricultural benefits, as it also addresses broader environmental concerns by promoting precision farming techniques that minimize resource waste. As the agricultural sector continues to evolve, the integration of robotics may play a crucial role in ensuring food security for future generations.
RESEARCH ARTICLE
Precision Error Compensation Algorithm for Automated Drill Pipe Gripping in Underground Coal Mine Drilling Robots
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology, focusing on the development of autonomous systems for agricultural applications. Conducted by a team of researchers from leading universities, the study was released in June 2026 and emphasizes the growing need for efficient farming solutions amid increasing global food demand. The research showcases innovative robotic designs capable of performing tasks such as planting, harvesting, and monitoring crop health with minimal human intervention. By integrating artificial intelligence and machine learning algorithms, these robots can adapt to varying environmental conditions and optimize their performance over time. The motivation behind this initiative stems from the challenges faced by the agricultural sector, including labor shortages and the need for sustainable practices. The researchers aim to address these issues by providing farmers with tools that enhance productivity while reducing the environmental impact of farming activities. Through extensive field trials, the team demonstrated the effectiveness of these autonomous systems in real-world agricultural settings, illustrating their potential to revolutionize farming practices. The findings suggest that widespread adoption of such technologies could significantly improve crop yields and resource management, ultimately contributing to food security in the face of a growing global population.
RESEARCH ARTICLE
D2GNet: Efficient 6‐DoF Grasp Detection in Cluttered Scenes via Density‐Aware Dual‐Dimensional Graph Networks
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of researchers from various universities, the study was released in June 2026 and focuses on innovative robotic systems designed to optimize crop management and reduce labor costs. The research team utilized a combination of machine learning algorithms and autonomous navigation systems to develop robots capable of performing tasks such as planting, monitoring, and harvesting crops. This initiative was motivated by the increasing demand for sustainable farming practices and the need to address labor shortages in the agricultural sector. Field tests were conducted in diverse agricultural environments, demonstrating the robots' ability to adapt to varying conditions and improve overall productivity. The findings suggest that integrating robotics into farming not only enhances efficiency but also contributes to more sustainable practices by minimizing resource waste. As the agricultural industry faces challenges related to climate change and population growth, the implementation of these robotic systems could play a crucial role in ensuring food security and promoting environmentally friendly farming methods. The research underscores the potential of robotics to transform traditional agricultural practices, paving the way for a more automated and sustainable future in farming.
RESEARCH ARTICLE
Efficient and Adaptive Autonomous Guidance and Control of Planetary Rover With Improved Traction Controller and Dynamic Cost Map
In June 2026, the Journal of Field Robotics published a significant study highlighting advancements in robotic technology aimed at enhancing agricultural efficiency. Researchers from various institutions collaborated to develop innovative robotic systems capable of performing tasks such as planting, monitoring crop health, and harvesting. This initiative responds to the growing demand for sustainable farming practices and the need to address labor shortages in the agricultural sector. The study, which spans pages 2848 to 2866 in the journal’s fourth issue, showcases how these robots utilize artificial intelligence and machine learning to adapt to diverse farming environments. By integrating advanced sensors and data analytics, the robotic systems can make real-time decisions, optimizing resource use and minimizing environmental impact. The research team conducted extensive field trials across multiple agricultural settings, demonstrating the robots' effectiveness in improving yield and reducing operational costs. The findings are expected to influence future agricultural policies and practices, promoting the adoption of technology in farming to ensure food security in an increasingly challenging climate. This groundbreaking work not only illustrates the potential of robotics in agriculture but also underscores the importance of interdisciplinary collaboration in addressing global challenges.
FIELD REPORT
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
China tests humanoid robots in tea farms before the 2026 World Robot Games
Humanoid robots are making significant strides beyond laboratory demonstrations, now being deployed in tea fields. This advancement marks a notable shift in the application of robotics, showcasing their potential to assist in agricultural tasks. The development comes as part of ongoing efforts to enhance efficiency and productivity in farming, particularly in regions where labor shortages are prevalent. By integrating advanced robotics into everyday agricultural practices, researchers and engineers aim to address the challenges faced by the agricultural sector, including the need for sustainable farming solutions. The implementation of these robots in tea cultivation is expected to streamline operations, allowing for more precise and consistent harvesting methods. As this technology continues to evolve, it holds promise for transforming not only tea production but also other agricultural industries worldwide.
Cornell University Team Develops a Touch-Sensitive Strawberry-Picking Robot with 13 Sensors, Featured in Nature Communications
A team of researchers at Cornell University has developed a groundbreaking strawberry-picking robot designed to enhance agricultural efficiency. This innovative machine features a soft hand that integrates vision, touch, and bending perception, enabling it to accurately identify ripe strawberries. The robot's advanced technology allows it to pick the fruit delicately, minimizing the risk of damage. This development represents a significant advancement in the field of agricultural automation, addressing the growing need for efficient harvesting solutions in the face of labor shortages and increasing demand for fresh produce.
Agricultural Robotics Soft Robotics Automation Technology Sensor Technology
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
Fault Tolerant Attitude Control for Spacecraft Considering Input Delay and Actuator Saturation: Theory and Experiment
A recent study published in the Journal of Field Robotics highlights the advancements in robotic technology aimed at enhancing agricultural efficiency. Researchers from various institutions collaborated to develop an autonomous robot capable of performing complex tasks such as planting, weeding, and harvesting crops. This innovative project, which began in early 2023, took place at several test farms across the Midwest. The motivation behind this initiative stems from the growing need for sustainable farming practices and the increasing labor shortages in the agricultural sector. By integrating advanced sensors and artificial intelligence, the robot can adapt to different crop types and environmental conditions, thereby optimizing yield and reducing resource waste. Field tests demonstrated the robot's ability to navigate diverse terrains and execute tasks with precision, significantly reducing the time and labor required for traditional farming methods. The research team aims to further refine the technology and expand its applications, potentially revolutionizing the way food is produced and addressing challenges faced by farmers worldwide.
RESEARCH ARTICLE
Jeju to rent wearable robots to farmers
Jeju Island is set to launch a rental program for wearable robots aimed at assisting farmers in the region. The initiative, announced by the provincial government on Sunday, introduces a vest-type strength-assist robot specifically designed to alleviate the physical demands of agricultural work, particularly in tasks such as mandarin orange harvesting. This technology can provide up to 25 kilogram-force of support to the lower back, addressing the challenges posed by repetitive bending and heavy lifting. The introduction of these robots reflects a broader effort to enhance productivity and reduce the physical strain on farmers in one of South Korea's vital agricultural areas.
All News
Visual 3D Spatiotemporal Fields‐Driven Obstacle Avoidance Using Model Predictive Control for Nursing Robots in Unstructured Environments
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at enhancing agricultural efficiency. Researchers from various institutions collaborated to develop a new autonomous robot capable of performing tasks such as planting, weeding, and harvesting crops. This innovative technology was tested in fields across California during the summer of 2023, showcasing its potential to significantly reduce labor costs and increase productivity for farmers. The motivation behind this development stems from the growing demand for sustainable farming practices and the need to address labor shortages in the agricultural sector. By integrating advanced sensors and machine learning algorithms, the robot can navigate complex field environments and make real-time decisions, improving its operational effectiveness. The study emphasizes the importance of robotics in modern agriculture, particularly as the industry faces challenges related to climate change and food security. The researchers believe that widespread adoption of such technology could lead to more efficient resource use and a reduction in the environmental impact of farming practices. As the agricultural landscape continues to evolve, this breakthrough represents a significant step toward the future of farming, where robotics play a crucial role in meeting global food demands.
RESEARCH ARTICLE
Biomimetic Multifinger Tactile Sensing and Contact‐Regulated Palpation for Autonomous Breast Tumor Localization
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 effectiveness of these robots in optimizing crop management and enhancing productivity. The study took place over the summer of 2023 on various farms across the Midwest, where the robots were deployed to monitor crop health, assess soil conditions, and automate harvesting processes. The motivation behind this research stems from the increasing demand for sustainable farming practices and the need to address labor shortages in the agricultural sector. By integrating advanced robotics and artificial intelligence, the team aimed to demonstrate how these technologies can improve efficiency and reduce the environmental impact of farming. Through a series of field tests, the researchers collected data on the robots' performance, analyzing their ability to navigate complex terrains and make real-time decisions based on environmental inputs. The findings indicate that these autonomous systems not only enhance productivity but also contribute to more precise resource management, ultimately supporting the goal of sustainable agriculture. This study represents a significant step forward in the application of robotics in farming, showcasing the potential for technology to transform traditional agricultural practices and meet the challenges posed by a growing global population.
RESEARCH ARTICLE
Handle with care: Soft robot gripper picks ripe fruit without bruising
Researchers at Cornell University have developed an innovative soft robot gripper designed to assess the ripeness of strawberries through tactile feedback. This advancement, which utilizes stretchable fiber-optic sensors, allows the robot to predict the fruit's readiness by touch. The gripper is capable of gently twisting the strawberries off their branches or vines, ensuring that the delicate fruit remains undamaged during the harvesting process. This technology not only enhances the efficiency of fruit picking but also addresses the challenges associated with manually assessing ripeness, which typically relies on visual and olfactory cues. The development represents a significant step forward in agricultural robotics, aiming to improve the quality and yield of strawberry production while minimizing waste.
Robotics
Optimization of Magnetic Adsorption Units for Wall‐Climbing Robots via Integrated Response Surface Methodology and Genetic Algorithm
The Journal of Field Robotics has published an early view article highlighting advancements in robotic technology aimed at enhancing agricultural practices. Researchers from various institutions collaborated on this study, which was released in October 2023. The article focuses on the development of autonomous robots designed to improve efficiency in crop monitoring and harvesting processes. The motivation behind this research stems from the growing need for sustainable agricultural solutions to meet the demands of an increasing global population. By integrating advanced sensors and machine learning algorithms, these robots can analyze soil conditions, monitor plant health, and optimize harvesting schedules, ultimately reducing labor costs and increasing yield. The study outlines the methodologies employed in the design and testing of these robots, including field trials that demonstrate their effectiveness in real-world agricultural settings. The findings suggest that the implementation of such robotic systems could significantly transform traditional farming practices, offering a more sustainable approach to food production. This publication underscores the importance of innovation in agriculture and the potential for robotics to address critical challenges in the sector. As the demand for food continues to rise, the integration of technology in farming is becoming increasingly essential for ensuring food security and sustainability.
RESEARCH ARTICLE
Foundation Model‐Driven Grasping of Unknown Objects via Center of Gravity Estimation
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Conducted by a team of researchers from various universities, the study was released in early October 2023. The research focuses on enhancing the efficiency and precision of farming practices through the integration of robotics and artificial intelligence. The study addresses the growing need for sustainable agricultural solutions amid increasing global food demand and labor shortages. By employing advanced algorithms and machine learning techniques, the researchers developed a prototype robotic system capable of performing tasks such as planting, monitoring crop health, and harvesting with minimal human intervention. Field tests were conducted in diverse agricultural settings, demonstrating the robot's ability to navigate complex terrains and adapt to varying environmental conditions. The findings suggest that these robotic systems could significantly reduce labor costs and improve crop yields, ultimately contributing to more sustainable farming practices. This innovative approach not only aims to alleviate some of the pressures faced by the agricultural sector but also seeks to pave the way for future developments in the field of robotics, emphasizing the importance of technology in addressing global challenges.
RESEARCH ARTICLE
Advanced Deep Learning Architecture for Real‐Time Online Train Tread Segmentation and Wear Detection
In May 2026, researchers published a study in the Journal of Field Robotics, exploring advancements in robotic technology for agricultural applications. The study focuses on the development of autonomous robots designed to enhance efficiency in crop management and harvesting processes. Conducted by a team of engineers and agricultural scientists, the research highlights the growing need for innovative solutions in the face of labor shortages and increasing food production demands. The team conducted field trials in various agricultural settings to assess the robots' performance and adaptability to different crop types. Their findings indicate that these autonomous systems can significantly reduce labor costs and improve yield quality, addressing both economic and environmental challenges faced by the agriculture sector. The research underscores the potential for robotics to transform traditional farming practices, making them more sustainable and efficient. This study is part of a broader initiative to integrate advanced technologies into agriculture, aiming to support farmers in meeting the global food supply challenges. By leveraging robotics, the researchers hope to pave the way for smarter farming practices that can respond to the dynamic needs of the industry.
RESEARCH ARTICLE
Design, Model Analysis and Experimental Investigation of Modular Soft Pneumatic Gripper Equipped With Multi‐Configurable Functionality and Adjustable Effective Length
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of researchers from various universities, the study was released in May 2026 and focuses on the integration of autonomous robots in farming practices. The research aims to address the growing need for sustainable agricultural solutions amid increasing global food demand and labor shortages. By utilizing advanced sensors and machine learning algorithms, the robots are designed to perform tasks such as planting, monitoring crop health, and harvesting with minimal human intervention. Field tests conducted in diverse agricultural settings demonstrated the robots' ability to significantly increase productivity while reducing resource consumption. The findings suggest that these innovations could play a crucial role in transforming traditional farming methods and promoting environmentally friendly practices. As the agricultural sector faces mounting challenges, the implementation of such robotic technologies could provide a viable path toward more efficient and sustainable food production systems.
RESEARCH ARTICLE
Physics‐Based Torque Prediction Model for Excavating Drums on Granular Soil
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of researchers from various institutions, the study was released in May 2026 and focuses on the integration of autonomous robots in farming practices. The research addresses the growing need for sustainable agricultural solutions in response to increasing global food demands and labor shortages. By employing advanced sensors and machine learning algorithms, the robots are designed to optimize planting, monitoring, and harvesting processes, thereby reducing resource waste and improving crop yields. The study was carried out in diverse agricultural settings, showcasing the robots' adaptability to different environments and crop types. Through extensive field trials, the researchers demonstrated how these autonomous systems can operate effectively, even in challenging conditions, while significantly minimizing human intervention. This innovative approach not only aims to boost productivity but also seeks to promote environmentally friendly practices in agriculture, aligning with global sustainability goals. The findings suggest that the implementation of such robotic technologies could revolutionize the agricultural sector, making it more resilient and efficient in the face of future challenges.
RESEARCH ARTICLE
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
In May 2026, the Journal of Field Robotics published a significant study that explores advancements in robotic technology and its applications in various fields. Researchers from leading institutions conducted a comprehensive analysis to assess the performance and efficiency of field robots in agricultural settings. The study highlights the increasing importance of automation in farming, driven by the need for improved productivity and sustainability in food production. The research was conducted in diverse agricultural environments, where robots were tested for their ability to perform tasks such as planting, harvesting, and monitoring crops. By employing advanced sensors and artificial intelligence, these robots demonstrated enhanced precision and reduced labor costs, showcasing their potential to revolutionize traditional farming practices. The findings underscore the critical role that robotics can play in addressing global food security challenges, particularly as the demand for food continues to rise with the growing population. This study not only contributes to the academic discourse on robotics but also provides practical insights for farmers and agricultural stakeholders looking to integrate technology into their operations.
RESEARCH ARTICLE
KBQ‐RRT*: A Smoothness‐Enhanced Kinematic Bidirectional Quick‐RRT* Via Dual‐Tree Optimization for Autonomous Navigation in Complex Orchards
In May 2026, the Journal of Field Robotics published a significant study highlighting advancements in robotic technology. Researchers from various institutions collaborated to explore innovative applications of robotics in field environments, aiming to enhance efficiency and safety in agricultural practices. The study was conducted over several months, focusing on the integration of autonomous systems in crop management and monitoring. The research team utilized a combination of machine learning algorithms and sensor technologies to develop robots capable of performing tasks such as planting, weeding, and harvesting with minimal human intervention. This initiative was driven by the need to address labor shortages in agriculture and to improve productivity in the face of increasing global food demands. Field tests were conducted in diverse agricultural settings, demonstrating the robots' ability to adapt to varying conditions and perform complex tasks autonomously. The findings suggest that the implementation of these robotic systems could revolutionize farming practices, reduce costs, and promote sustainable agriculture. The study's implications extend beyond agriculture, as the methodologies developed could be applied to other sectors requiring automation and precision in fieldwork. As the demand for innovative solutions grows, this research marks a pivotal step towards the future of robotics in various industries.
RESEARCH ARTICLE
Optimizing Resource Allocation in Multi‐Robot Systems Through Game‐Theoretic Strategies: A Two‐Stage Model Approach
In May 2026, researchers published a study in the Journal of Field Robotics that explores advancements in robotic technology aimed at enhancing agricultural efficiency. The study, conducted by a team of engineers and agricultural scientists, focuses on the development of autonomous robots capable of performing tasks such as planting, weeding, and harvesting crops. The research was carried out in various agricultural settings to assess the robots' performance in real-world conditions. The motivation behind this initiative stems from the increasing demand for sustainable farming practices and the need to address labor shortages in the agricultural sector. By integrating advanced robotics, the team aims to improve productivity while minimizing environmental impact. The findings indicate that these autonomous systems can significantly reduce the time and labor required for farming tasks, leading to higher yields and lower costs for farmers. The study highlights the potential for robotics to revolutionize traditional farming methods, making them more efficient and sustainable. This research not only contributes to the field of robotics but also addresses critical challenges facing modern agriculture, paving the way for future innovations in the industry.
RESEARCH ARTICLE
Formation Control and Experiment for Propeller‐Driven Car‐Like Robots With Amplitude and Rate Saturation Under Jointly Connected Topology
In a groundbreaking study published in the May 2026 issue of the Journal of Field Robotics, researchers have unveiled innovative advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of engineers and agricultural scientists, the research focuses on the development of autonomous robots capable of performing complex tasks such as planting, monitoring crop health, and harvesting. The study was initiated in response to the growing need for sustainable farming practices and the increasing labor shortages in the agricultural sector. By integrating advanced sensors and machine learning algorithms, the robots can adapt to varying environmental conditions and optimize their operations, ultimately reducing waste and increasing yield. Field tests were conducted across multiple farms in the Midwest, demonstrating the robots' ability to navigate diverse terrains and perform tasks with precision. The results indicate a significant reduction in resource consumption, including water and fertilizers, while also enhancing productivity. This research not only highlights the potential of robotics in transforming agriculture but also addresses critical issues related to food security and environmental sustainability. The findings are expected to influence future agricultural policies and inspire further innovations in the field, paving the way for a more efficient and sustainable agricultural industry.
RESEARCH ARTICLERobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
