Kamaro reveals winning code!

One of the goals of the field robot event is to learn from each other. We are therefore very happy with Kamaro’s initiative to make some of their software public. We expect this to boost our community and encourage collaboration and exchange between teams. It also helps aspiring participants to get started.

Kamaro has published their winning code for crop row navigation and their code for object detection using deep learning.

Which team is next?

Important updates for teams

  • The containers for the field robot event are now available at Github! Further information can be found in the README.md.
  • The ground texture has been updated. It does not longer contain images of weeds.
  • Changes in the task:
    • All tasks: The starting will always be on the right side of the field. (first turn left)
    • Task 2: A file with the code of the path pattern to be followed is made available to robot at the start.
    • Task 3: Assessment differentiates more clearly between detection during run and classification and accuracy of mapped objects.

3D meshes of real maize plants.

Kamaro Engineering joins the development of the virtual maize field! Will you join too?

A digital Field Robot Event poses some serious challenges but also brings new opportunities. Due to the digital nature of a virtual event, we can now easily collaborate internationally.

Since today Kamaro engineering, a well-known participant of the Field Robot Event, is contributing to the development of the digital simulation environment. Kamaro engineering already made some beautiful 3D meshes of real maize plants (see picture).

We, as Field Robot Event organisation, are very enthusiastic about this collaboration and we would love to see this field robot community grow. If you have questions, ideas, or want to help with the digital environment, contact us using the discussion thread in the git repository.

We will conduct a virtual Field Robot Event in 2021!

In order to prepare, if you have only little experience in GAZEBO/ROS, we recommend to follow the link on the “Virtual environment” page.

This will be also the place where we will publish more details about the event soon!

We still suggest a rough preliminary task description like: Basic (1) and advanced navigation (2), an agricultural application (sensing (3) and manipulation (4)) and the freestyle (5).

And remember, in the freestyle – not compulsory – we suggest to show using a live video your real existing machine at home conducting an agricultural task of your choice.

The online contest will be at the same time as the DLG Feldtage from 8th to 10th June 2021. We want to continue our collaboration with the DLG. There will be much likely an online transmission during this time also via the Feldtage digital platform.