We are using two different types of servos. For opening and turning the arm, we are using small EMAX-ES09MD servos, and for lifting the whole arm, we are using a Diymore 35 kg digital servo.
We use a mix of OpenCV and NumPy methods to do all the image detection tasks. The full code will probably be available on our Github once we finished all our competitions.
Amazing robot ❤🎉😊
Thank you!
What types of servos have you used for catch the balls?
We are using two different types of servos. For opening and turning the arm, we are using small EMAX-ES09MD servos, and for lifting the whole arm, we are using a Diymore 35 kg digital servo.
thanks, very great work!
What is the type of the camera used ?
In the GUI visualization, the left image is from a Raspberry Pi Camera Module V3 Wide Angle. The right image is from a Arducam B0268 Wide Angle Camera
What strategy is used to identify markings on the track, such as green, silver and red stop markings
We use a mix of OpenCV and NumPy methods to do all the image detection tasks. The full code will probably be available on our Github once we finished all our competitions.
How was the robot able to determine it hadn't picked the first dead victim?
We have a infrared sensor inside the gripper so we know if something is inside of it
@@Overengineering2 Thank you, congratulations.
what infrared sensor did you use on the clamp?
@@limaotop3913 A 50cm Pololu irs16a infrared sensor