Su próxima pinta de frambuesas podría ser recogida por un robot

Fieldwork Robotics, a British company established in 2016, has unveiled an AI-driven robot capable of picking raspberries, marking a pivotal step toward robotic automation in agriculture. The innovation comes amid rising concerns over labor shortages and the need for greater efficiency in food production. According to the company's director and chief technical officer, Sid Shaikh, the robot is designed to address both challenges by offering a reliable, consistent method of harvesting a fruit known for its fragility. The robot operates on a self-driving, battery-powered base vehicle equipped with four harvesting arms. Each arm features a patented picking cup, which resembles a small paw and includes an inflatable membrane. This mechanism allows the robot to gently grasp each raspberry without damaging the fruit. The system relies on advanced sensors and machine learning algorithms to identify ripe berries, distinguishing between seven levels of ripeness. This capability enables the robot to cater to varying customer demands, some requiring perfectly ripe fruit while others prefer slightly underripe berries for better durability during transportation. During testing in the United Kingdom last year, the robot demonstrated impressive speed, completing the task of picking a 328-foot-long row of raspberries in approximately 40 minutes. Its efficiency continues to improve, with projections indicating it could harvest between 3.3 to 4.4 pounds of fruit per hour. These figures highlight the potential of robotic systems to significantly increase output compared to traditional manual methods. One of the key advantages of using such robots is their ability to operate continuously without the need for rest periods or additional compensation. Unlike human workers, who require breaks and may face issues such as absenteeism, robots can function around the clock, enhancing overall productivity. Furthermore, these machines can be adapted to handle multiple types of crops through interchangeable attachments, providing versatility in agricultural applications. Shaikh emphasized that the primary goal of deploying these robots is not to replace human labor entirely but to augment it. By combining the strengths of both humans and machines, farms can benefit from reduced costs and increased efficiency. He noted that human-robot teams could potentially achieve a lower cost-per-kilo than fully automated setups due to the extended operational hours achievable with the same equipment. In addition to boosting productivity, the use of harvesting robots helps minimize waste. The machines can clear large portions of a row, allowing human workers to focus on areas that remain inaccessible or visually complex. This division of labor ensures that fruits previously overlooked are now efficiently harvested, further contributing to sustainability efforts within the farming industry. Looking ahead, Fieldwork Robotics plans to enhance its technology to improve detection capabilities. Future iterations of the platform will aim to identify berries hidden among foliage or in hard-to-reach locations, thereby increasing accuracy and coverage. As this technology matures, it signals a broader shift towards automation in agriculture, promising to transform how fruits are cultivated and harvested globally.