Published: 10 March 2026
The Sustainable smArt Robotic Agriculture (SARA) programme, underpinning Versatile RobotX, has been shortlisted for the UKRI AI & Robotics Research Awards 2026 in the category of Best Research Project (Industry Collaboration).
The nomination recognises sustained collaboration between the University of Essex and industry partners including Wilkin & Sons, JEPCO, and GyroPlant in the development of deployable agricultural robotics systems addressing real-world production challenges.
The programme focuses on automating labour-intensive farming processes through the integration of artificial intelligence, robotics, and data-driven decision-making. Systems developed within the programme are designed to operate across different crop types and agricultural environments, enabling flexibility that is critical for commercial adoption.
“Being shortlisted for the UKRI AI & Robotics Research Awards is strong validation of the impact we are delivering with our industry partners.”
A central objective of the work has been the development of low-cost, adaptable robotic platforms capable of performing perception, manipulation, and decision-making tasks in complex and unstructured environments such as farms. These systems address key constraints in agriculture, including labour availability, operational efficiency, and environmental sustainability.
The programme has also demonstrated the importance of close collaboration between academic research teams and commercial growers, enabling rapid iteration and validation of systems in real production settings.
“Our focus is practical field robotics that addresses critical societal challenges of food security, labour security and climate/sustainability.”
The recognition further reinforces the transition from research programme to commercialisation, with Versatile RobotX established to scale these technologies into deployable solutions.
This milestone highlights the growing maturity of field-deployable agri-robotics and its increasing relevance to commercial farming operations.
