Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
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
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
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
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
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
AI-powered robot learns how to harvest tomatoes more efficiently
A groundbreaking advancement in agricultural technology has emerged with the development of a new tomato-picking robot that employs predictive capabilities to enhance its harvesting efficiency. Unlike traditional robots that merely identify ripe tomatoes, this innovative machine assesses the ease of harvesting each fruit and adapts its approach accordingly. This intelligent strategy has resulted in an impressive success rate of 81%, with the robot even capable of adjusting its angles during the picking process. This significant leap in automation could facilitate a future where robots and human workers collaborate seamlessly on farms, revolutionizing the agricultural landscape.
Robotics firm Eternal and seed breeder Rijk Zwaan partner to optimize tomato varieties for greenhouse automation
Eternal.ag and Rijk Zwaan have announced a collaboration focused on identifying tomato varieties that can enhance robotic crop work in greenhouses. This initiative seeks to leverage the expertise of both companies to gain insights into plant characteristics that would facilitate the automation of greenhouse operations. The partnership aims to pave the way for a future where crop management is fully automated, thereby improving efficiency and productivity in agricultural practices. By combining Rijk Zwaan's extensive global experience in fruit cultivation with eternal.ag's innovative technologies, the two organizations are working together to explore the potential of various tomato strains in supporting advanced robotic systems.
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