I started to work on randomly generated Ignition Gazebo test environments for agriculture robots, and I’m so happy with the first results that I wanted to share it with you
Briefly, in the current state:
- a Blender script generates the crop meshes (tomato only), and a Jupyter notebook puts together the SDF models and world (based on the given parameters).
- It generates ground truth data (positions of plants and fruits) for each world and model, which can be used to evaluate the robot performance.
PS I’m looking for a job in robotic agriculture. If you think you might want to work with me, please send me a line (linkedin)