Overview
The sophia infrastructure will offer the possibility to test and evaluate the mobility algorithms embedded on a ground robot. M
obility Algorithms concerns the classical robotics functionalities of Mapping, Localization, SLAM, and Navigation.
The aerial robot is equipped with an array of sensors, including Camera, LiDAR, IMU, and RTK-GPS (for the ground truth evaluation). The service consists of three main steps:
- First of all, the algorithm is evaluated using representative datasets.
- After that, the algorithm is integrated in a ROS2 architecture and evaluated with the local agrifoodTEF test infrastructure (different areas are possible). The performance of different attributes of the algorithm is evaluated with quantitative and qualitative metrics. A possibility of benchmarking will be proposed as a complementary option in order to position the performance of the proposed algorithm regarding the current state of the art.
- Finally, the last step will be to perform the field testing in real condition and in a particular end-user or customer site using the mobile living lab (it consists of a mobile laboratory going to the field connected with the real robot for monitoring and evaluation purposes).
More about the service
Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!
Through this service, customers can test and evaluate their AI & Robotic solutions in robot mobility for agricultural and agrifood applications to see how far are they from the SoA solutions. With the results obtained from this service, they would be able to check how much reliable their solution is, and identify where the existing limitations are.
There might be need of repetitions to deliver this service depending on customers' request or anomaly in the execution.
The delivery of service could be constrained due the season of crop or vegetation for which this service would be requested. Moreover, depending on the customer needs, customization and location, it could take from weeks to 2-3 months to test and evaluate the mobility algorithm. The customer will receive a document with the analysis of test and evaluation, and potentially a comparison with the solution available in SoA.
The delivery of service could be constrained due the season of crop or vegetation for which this service would be requested. Moreover, depending on the customer needs, customization and location, it could take from weeks to 2-3 months to test and evaluate the mobility algorithm. The customer will receive a document with the analysis of test and evaluation, and potentially a comparison with the solution available in SoA.
The equipment along with facilities, and environment used in the service could be customized using specific sensors as per customer need. Additionally, there may be some technical limitations of the robot, and legal regulations need to be considered.
Location
France
At user's premises
Type of Sector
Arable farming
Food processing
Greenhouse
Horticulture
Tree Crops
Viticulture
Type of service
AI model training
Collection of test data
Data analysis
Desk assessment
People training
Performance evaluation
Provision of datasets
Test design
Test setup
Test execution
Accepted type of products
Data
Design / Documentation
Physical system
Software or AI model
Other
