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Meet Aspara-Gus, The Autonomous Robot Harvester

A pioneering autonomous robot, designed to harvest asparagus, has successfully passed its initial field tests. Developed by engineers at the University of Cambridge, Gus, the robot has shown promise in addressing the labour shortages affecting the agriculture sector.



The mechanical harvester employs advanced technologies, such as computer vision and precise cutting tools, to identify and cut asparagus spears. This breakthrough comes at a critical time, as the industry struggles with a dwindling workforce and the rising costs associated with manual harvesting.


During trials in Cambridgeshire, Gus demonstrated its capability to adapt to different field conditions and asparagus sizes, achieving a cutting accuracy that rivals that of human workers. The developers believe that this technology not only enhances efficiency but also reduces the physical strain on farm workers.


Dr. Simon Birrell, who led the project, commented on the robot’s innovative design, stating, “Our robot integrates cutting-edge technologies to ensure gentle handling and precise cutting, which are crucial for maintaining the quality of asparagus.”





“The way the robotic arm works is…really similar to the human hand, so for handpicked crops it makes way more sense,” said Kyle-James Keen, COO of autopickr, a spin-out from robot arm specialists ST Robotics.


“Most of us worked there [ST Robotics] for years before and we’ll keep using the arm we have the license for,” said Keen. “It’s not complicated at all, it’s belts and pulleys with motors driving them.”


The team at the University of Cambridge plans to further refine the robot’s functionality, aiming to improve its speed and efficiency.


The ultimate goal is to make Gus commercially available, providing a sustainable solution to the agricultural industry’s ongoing challenges.


As the prototype continues to undergo testing, it holds the potential to revolutionise asparagus farming by making the process more economical and sustainable.


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