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Fox Robotics awarded funding from DEFRA and Innovate UK

Fox Robotics Ltd, in collaboration with the  University of Surrey and the Agri-EPI Centre, along with three prominent farms –  MA & MP Stockwell Barnsmuir Farm in Scotland,  Lutton Farm in Peterborough, and  Secretts Farm in Surrey – have been awarded a grant of £998,639 for their ground-breaking FLEXBOT project, from DEFRA and Innovate UK


Revolutionising Agriculture with FLEXBOT

The FLEXBOT project is funded by the Department for Environment, Food & Rural Affairs (‘Defra ’) through the Farming Futures Automation and Robotics Competition. The Farming Innovation Programme work in partnership with Innovate UK, who are delivering the programme, and  aims to benefit from the significant experience of Agri-EPI Centre in coordinating and enhancing agricultural technology practices and helping farmers, integrating the significant robot vision & AI capabilities of the University of Surrey, to enhance Fox Robotics Ltd.’s cutting-edge technology, with a particular focus on refining the navigation capabilities of their autonomous all-terrain robot, Hugo RTTM

Hugo RT™ was designed with horticulture farms in mind, with all-terrain capabilities and autonomous navigation, providing invaluable support to farmers in their day-to-day operations, but has applications in husbandry, fruit, flowers and other agricultural contexts.  Hugo RTTM ‘s versatility spans various tasks, from off-season work like mowing grass, transporting soil, and handling delicate seedlings to the demanding in-season tasks of transporting harvested produce. The unique feature of Hugo RTTM lies in its ability to perform these tasks without the need for human intervention, thus optimising efficiency and productivity in agriculture.


Navigational Robustness and Autonomy

The core objective of the FLEXBOT project is to enhance the robustness of the Hugo RTTM navigation system, ensuring that the robot can operate autonomously in bustling, and energetic farm environments. This improvement will make Hugo RTTM the solution for a wide range of applications, transcending the boundaries of traditional farm settings.


Scaling Up English Fruit Farms

The overarching goal of the FLEXBOT project is to showcase the scalability, productivity, and profitability of English fruit farms.


Agricultural Robotics: A Solution to Labour Shortages

The agricultural robotics market for logistics transportation offers a unique opportunity, particularly in the UK and Europe, where the sector faces challenges due to a reduced availability of seasonal workers. The integration of Fox Robotics Ltd.’s technology, along with the navigation system developed further through the FLEXBOT project, is poised to address these challenges and provide a reliable, and robust solution for farmers.


Scalability and Resource Optimisation

Furthermore, this technology offers scalability, allowing farmers to adapt to varying farm sizes and layouts. The navigation system provides accurate mapping, enabling farmers to plan their fields effectively and optimise the distribution of resources.


Fox’s  Chairman, Christian Gordon-Pullar said:

“We are delighted to be able to participate in the FLEXBOT project and to help steer and lead such an illustrious group of collaborators on this exciting journey and very grateful to be selected for this Grant in light of the excellent competition. The aim of this collaboration is to enhance technology that aims to simplify the adoption of robotics in agriculture by mitigating the complexities associated with advanced technology manipulation and will empower farmers to harness the benefits of robotics without the need for extensive technical expertise”.


Gary Livingstone, CEO, Fox Robotics Limited said :

“We are delighted to be have received the Grant from DEFRA and INNOVATE UK. It is envisioned that this initiative will not only encourage an ecosystem of add-on suppliers but also lay the groundwork for collaborative efforts that employ mobile COBOT platforms, thus propelling the traditionally fragmented Agri-Tech industry towards standardisation. 


Henry Acevedo, Founder and CTO of Fox Robotics Ltd, said:

“The FLEXBOT project represents a significant step forward in the evolution of agriculture, leveraging state-of-the-art robotics to address critical challenges faced by the industry. With the support of DEFRA, Innovate UK, and a consortium of innovative partners, Fox Robotics Ltd is poised to revolutionise farming practices, ushering in a new era of efficiency, productivity, and sustainability in agriculture. The navigation system, based on Bird’s Eye View (BEV) maps, enables the robots to autonomously navigate outdoor environments, including fruit farms, with precision and efficiency. This capability will prove invaluable in logistics transportation tasks within agricultural operations.”


Simon Hadfield, Associate Professor in Robot Vision & Autonomous Systems, University of Surrey, said:

“Researchers at the University of Surrey are excited to participate in this innovative new research project. In a world grappling with evolving agricultural challenges, FLEXBOT aims to provide flexible and reliable solutions to farm automation. Marrying cutting-edge AI research with state-of-the-art robotic hardware, FLEXBOT aims to create a greener, more efficient future for farmers.” 


Duncan Ross, Business Development Manager for Crops and Horticulture, Agri-EPI Centre Ltd, said:

“Fruit growers are interested in tech innovations that can address some of the issues they currently face, such as seasonal labour shortages. Picking robots are still some way from being commercially ready, but robotic platforms that can move fruit and crates around a site will allow pickers to keep picking and not spend time bringing fruit to a central weighing location. This project aims to develop the solution towards increased on-farm adoption.”


Innovate UK drives productivity and economic growth by supporting businesses to develop and realise the potential of new ideas. It connects businesses to the partners, customers and investors that can help them turn ideas into commercially successful products and services and business growth. Innovate UK is part of UK Research and Innovation.

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Agri-EPI Centre is accelerating the adoption of precision agriculture and engineering technologies to boost productivity across the whole agri-food chain. It does this by exploring how to optimise performance of highly complex agricultural production and processing systems. The Centre provides world-class R&D facilities, connects academia and industry, and progresses next generation technologies such as sensing, imaging, and robotics to create a new understanding of production efficiency. Agri-EPI works with 25 ‘satellite’ farms across the UK where new technologies and techniques are researched, developed, trialled, and shared in commercial farm settings. Agri-EPI is supported by Innovate UK.

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The Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is the largest research centre of its kind in the UK. It comprises more than 180 research and support staff working at the forefront of Computer Vision, AI and Automation research with applications ranging from medical imaging to agricultural robotics. An active research grant portfolio of >£30m and more than 100 successful PhD alumni has led to CVSSP being simultaneously ranked 1st in the UK for Computer Vision, 3rd in the UK for AI and 5th in the UK for robotics (

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For Corporate Affairs and Public Relations matters, please contact :

Christian Gordon-Pullar

Chairman, Fox Robotics Ltd



Alejandra Acevedo:

Business Development and Marketing Manager


Agri-EPI expands robotics and data offering

Agri-EPI has developed its robotics and data offering, including the addition of 4 new members to their engineering team over the last couple of months.

Eliot Dixon, Head of Agri-Tech (Engineering) explains:

“Over the last few months Agri-EPI has been investing heavily in its engineering team, bringing on several new members, enabling us to offer a set of services to assist in the creation of agri-tech products. The team of platform and spectral imaging experts uses our fleet of sensors and specialist software to deliver a range of sensing products such as ground truthing for AI model generation, or the creation of digital twins. We are also now able to offer UAV and UGV platforms as a means to test novel sensors and end-effectors without the need for a bespoke vehicle. And through working closely with our innovation farm network, we are creating a heavily layered source of evidence for developers using our farm network to design and test their innovations.”

Agri-EPI’s new GIS Data Analyst, Yingwang Gao, majored in Agricultural Engineering, and has a PhD degree specialising in Hyperspectral Imaging Applications, as well as postdoc experience working as Research Associate. In addition to a strong academic background, he has accumulated several years of industrial work experience, mainly on spectral imaging systems, R&D, and spectral imaging data analysis in various application domains. He has a strong passion for remote sensing and photogrammetry. At Agri-EPI, he takes care of data acquisition and data processing from different types of sensors, including RGB, multispectral, hyperspectral, LiDAR, and GPR, to identify and map out features of interest in the agricultural sector, to help farmers with better decision-making in agricultural management.

Agri-EPI’s new R&D Equipment Technician, Aditya Jadhav, pursued his bachelors in aeronautical engineering, where he learned various aspects of flying machines. He set up an aeromodelling club with a few of his classmates where they designed, built and tested various configurations of small UAVs. The MSc program for Autonomous vehicle dynamics and control was structured for students to gain a deeper understanding of unmanned systems. Aditya was part of a group project that built a surveillance system with a swarm of autonomous drones, and an individual project sponsored by the Railway Safety and Standards Board which aimed to design and develop an autonomous vehicle which can operate in a station environment. The advancements in robotics and the urgent need of integrating robotics with sustainable agriculture were the driving forces for him deciding to work in the agri-tech sector. As the R&D Equipment Technician, Aditya looks after all the deployable assets that are in service to the company, which includes maintenance, asset tracking and deployment, and organising the logistics.

Panagis Tzivras, Agri-EPI’S new GIS Software Engineer, is a GIS expert with strong technical skills who is highly invested in programming. In his previous roles working with startups and the commercial sector, he was involved in data collection and extraction, maintaining data pipelines and building geospatial processes and automation updates. At Agri-EPI Centre he is helping to leverage the measurement resources of the centre to create high quality dataset and support systems. He is working on creating tools and code to enable the automation of data collection from a wide variety of sources available to Agri-EPI Centre.

Lastly, Aidan Robertson has joined the Agri-EPI Engineering team as their new Graduate Data Analyst. Aidan’s background is in mathematics, which he studied at University of Warwick for four years before looking for jobs related to data science. He is very pleased to be part of the Agri-EPI team in quite a varied role; so far, he has been working on projects related to the health and wellbeing of cows, specifically by reformatting farm datasets to be sent out for analysis. Soon, there are plans for him to begin a more ambitious project to develop a costings estimator for RAS in agriculture. This is a long-term task, but the ultimate goal would be to offer it as a service for farmers looking to introduce robotic systems into their farms. The most interesting part of agri-tech for Aidan is the data, and what it actually says about the performance of a system, as well as what can be done to help the problems being faced by the agri-tech sector at present.