This innovation integrates control, navigation and planning strategies, both onboard the robot and the cloud, to enable smart navigation of mobile robots on the farm. It empowers mobile robots to navigate throughout the whole farm, not limited exclusively to the crop field. It benefits from the use of standards and digital descriptions of the work environment to represent, both semantically and metrically, the navigable space. This allows this innovation to be adapted to different mobile robots from different vendors, and integrates information such as maps and treatment planning developed by third parties. It also integrates different Artificial Intelligence methodologies to identify various types of crops in different stages of growth, especially in the early stages, and includes both wide and narrow crops, allowing precise navigation over the field without depending on accurate maps at the centimetre level, maintaining the safety of the crop, the robot and the humans.
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Listing Description
Addressing target audiences and expressing needs
- Other blended financing
We are looking for manufacturers of robotic systems willing to incorporate our controller in their robots.(commercial exploitation)
- Others/ No specific audience
- Public or private funding institutions
R&D, Technology and Innovation aspects
The controller is expected to be improved during the development of the Horizon Europe project AGROSUS (101084084). In the meantime, the system will be presented at innovation events and trade fairs as in TRANSFIERE, Malaga, Spain (https://transfiere.fycma.com/).
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This innovative technology’s main value proposition is that it combines control, navigation, and planning strategies both onboard the robot and in the cloud to enable smart navigation for mobile robots on the farm. It allows mobile robots to navigate the entire farm, not just the crop field. The technology uses standards and digital descriptions of the work environment to represent the navigable space semantically and metrically, making it adaptable to different mobile robots from other vendors. The technology integrates information such as maps and treatment planning developed by third parties. Additionally, it employs various artificial intelligence methodologies to identify different types of crops at different stages of growth, including early stages and covers both wide and narrow crops. This allows precise navigation across the field without requiring accurate maps at the centimetre level, ensuring the safety of the crop, the robot, and the humans involved in the process.
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Adress:
MADRID
Community of Madrid
28006
Spain
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