
Overview
The service is designed to provide support for validating the design and functionality of robotic systems in specific testing environments. The scope of the service includes peer feedback on the robot's design to identify ways to improve its design to maximise the benefits of robotic work in high-value crops or high-risk testing environments. This may include suggestions for changes to parts of the robot, its control systems, sensors, or general recommendations to ensure safe and efficient work with high-value crops. (plants).
More about the service
Conducting field tests will provide valuable feedback on the behaviour of the robot's components, its movement, course of action, and quality of execution of activities resulting from the assumed scope of work and work movements.
These activities help identify the necessary improvements for the effective implementation of the device. The insights gained can positively influence the operational life of the robot and refine its working movements, potentially reducing downtime.Ultimately, this will lead to improvements in the overall reliability and functionality of the machine and increase its operational efficiency.
- System analysis: A comprehensive system analysis is carried out, considering specific guidelines and expectations. This allows us to identify the necessary materials and testing methods, focusing on the robotic components and artificial intelligence algorithms used in the product.
- Test plan development: A detailed test plan is developed, defining the scope, methodology, and schedule of activities. This plan is discussed with and approved by the client before testing begins.
- Testing: Tests are carried out using professional measurement equipment under laboratory or operational conditions, as required. Measurements include measurements of the range of working movements, gripping force, and duration of working movements.
The condition of the crop before and after operation of the robot, the quality, and the condition of the collected material.- Data analysis: The interaction between the physical components and the artificial intelligence algorithms is analysed to assess the impact of the reliability of the system and to indicate directions for improvements. The collected data is analysed in detail using advanced methods.
- Reporting: A comprehensive report is prepared containing test results, analysis, and recommendations for system improvements. The report can be tailored to the customer's specific requirements.
- Post-test support: Post-test support is offered in the form of workshops or consultations for the team to discuss the results and proposed improvements. The process is flexible and tailored to specific needs, ensuring professionalism and commitment at every stage of our collaboration.