Automated and intensive industries such as automobile manufacturing are not the only industries that rely on robots. More and more agricultural production sites have used robots to replace manpower. In Germany, cucumbers are biased by manpower, and cucumber cultivation is gradually moving to Eastern Europe and India. This labor-intensive and energy-consuming harvesting operation is increasingly inconsistent with economic benefits.
As part of the EU CATCH project, the German research institute Fraunhofer IPK and the Spanish research team are developing and testing a dual-arm robotic system that can automatically harvest cucumbers. The partners are Leibniz Agricultural Technology Institute and Spanish Automation and Robotics. Center (CAR).
Researchers develop and test a dual-arm robotic system consisting of inexpensive, lightweight modules with the ultimate goal of allowing the system to automatically grow cucumber or for other agricultural applications. Machine harvesters must be cost-effective, high-performance and reliable, even in bad weather, must be able to judge the degree of cucumber ripening, and then harvested with a robotic arm.
The research team provides tactile perception to the robot so that the two-arm robot system can mimic the human motion pattern and adapt it to environmental conditions. In addition, it must be ensured that the robot does not harm the crop or pull the crop out of the soil. The machine harvester must at least experience The rich human staff are the same, and these employees can harvest up to 13 cucumbers per minute.
Developing automated systems that can perform visual and tactile sensing, assessment, and monitoring autonomously is a considerable challenge. The challenge of cucumber harvesting is more complex: robots must be able to identify green objects throughout the green environment, and cucumbers are randomly distributed in the field. Some are covered by vegetation, and different lighting conditions make the task more difficult.
The research team used a special multi-spectral camera system and intelligent image processing system to locate the cucumber position and guide the robotic arm to grab, with a success rate of about 95%.
IPK scientist Dragoljub Surdilovic pointed out that robots can automatically change direction to target and extract through symmetric or asymmetrical, consistent or inconsistent motion. The researcher's goal is to create an intelligent control system that can judge and order. A robotic arm assigns tasks to monitor cucumber harvesting and handle anomalies.
Researchers particularly want to carefully study the impact of various disturbances or failures on system efficiency and robustness. Some companies, cucumber growers and agricultural associations have expressed strong interest in dual-arm robots. In November 2017, the German Agricultural Association (DLG eV) exhibited the robotic system at Agritechnica, an agricultural technology trade fair, which received enthusiastic responses from numerous agricultural experts and companies.
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