Remark: The organizers tried to describe the tasks and assessments as good and fair as possible, but all teams should be aware of that we might need to modify the rules before or even during the contest! These ad hoc changes will always be decided by the jury members.
General description
For this task, the robots are navigating autonomously through a modeled and real maize field. Turning has to follow adjacent rows for track 1 to 7. From exiting track 7 the robot has to follow a given particular turning pattern. This task is all about accuracy, smoothness and speed of the navigation operation between the rows. Within three minutes the robot navigates between the rows. The aim is to cover as much travelled distance as possible. You find an example field and driving pattern in picture 2.
Virtual and Field Environment
First 3 tracks are without intra-row gaps to make it easy for robots to start. The rest of the field – track 4 to 11 – there are intra-row gaps even sometimes on both sides. In the last part – after track 7 – the robot has to follow a particular given turning and row pattern. This pattern will be made available 15 minutes before the contest starts for the real-world contest. In the simulation, the pattern is made available in the ‘driving_pattern.txt
’ file in the map
folder of the virtual_maize_field
package of the robot container. The content of this file may look as an example like: S – 1L – 1R – 3L – 2L – 2R – F.
Random stones and pebbles are placed along the path. Therefore, machine ground clearance is required. In order to make it easier for sensors there will be no gaps at the row entries and exits. The ends or beginnings of the rows may not be in the same line. The headland will be perhaps indicated by a fence or ditch or similar.
Rules for robots
Each robot has to start after a starting indication (acoustic signal) within 1 min. The maximum available time for the run is 3 min.
Assessment
The distance travelled following the given path during task duration is measured. (As soon as the robot leaves the specified path, the distance measurement will stop.) The final distance will be calculated including especially a bonus factor when the end of the field is reached in less time than 3 min. The final distance including a bonus factor is calculated as:
Sfinal [m] = Scorrected [m] * 3 [min] / tmeasured [min]
The corrected distance includes travelled distance and the penalty values. Travelled distance, penalty values and performance time are measured by the jury officials.
Crop plant damage by the robot will result in a penalty of 2 % of total row length distance in meter per damaged plant. (Example: 10 rows x 10 m = 100 m max. distance, means a penalty of 2 m per damaged plant.)
