UC Chile Researchers Develop an AI-Powered Harvesting Robot
The initiative aims to assist farmers in the agricultural sector with tasks that require precision and consistency. Thanks to the use of AI, the robot is also capable of adapting to different working conditions in the field.
photo_camera The robot, which is currently under development, has a mobile platform that can move across uneven terrain, and two arms that can manipulate objects. It can also interact with the environment in a coordinated and collaborative manner. Photo credit: UC Chile Engineering
A team of researchers from the UC Chile School of Engineering, led by Professor Miguel Torres, is designing an innovative robot with autonomous farming capabilities to assist Chilean farmers.
The project introduces a robotic system capable of executing repetitive and demanding tasks such as pruning, weeding, thinning, applying fertilizers, and harvesting soft-skinned fruits like cherries, blueberries, and nectarines.
“The idea is to have a tech tool that helps farmers with tasks that demand precision and consistency, and that can help make the industry more efficient,” explained researcher Miguel Torres.
The UC Chile engineering professor noted that the robot being developed features a mobile platform that can navigate uneven terrain, along with two arms capable of manipulating objects. Additionally, he noted that the technology can interact with its environment in a coordinated and collaborative way.
“This design allows it to adapt to field conditions and operate in open spaces without requiring specialized infrastructure. To train the robot, we use AI algorithms that enable it to learn, adapt, and enhance its performance.”
“We’re developing a system that not only performs predefined tasks but also learns and adjusts to different field conditions. AI is crucial to this project as it enables the robot to make real-time decisions,” the UC Chile professor added.
The researchers are perfecting the robot’s sensors and perception systems to improve its ability to capture relevant information and process it efficiently. The goal is for the robot to achieve a level of autonomy that enables it to make optimal decisions in diverse situations.
Agricultural robots can optimize the use of water or fertilizers, reducing environmental impact and improving the quality of harvested products. Moreover, this type of automation is especially relevant in addressing the ongoing water scarcity and environmental sustainability crises.
