Remember that the mouse is not supposed to have any previous knowledge of the maze, the maze is supposed to be random and the mouse must only have an algorithm to find the shortest route.
Ok hold on a second ,,,,, how ??? its seems like the robot knows where the maze end is , like skipping all other routes and go directly to the end , no testing, no exploring, no deadend turns , just staright to the maze end ,... someone explains please
The mouse robot has no previous information about how the maze is, the maze is supposed to be random and the mouse only makes an incomplete map of the maze by gathering information after it already entered. The algorithm is all about finding the shortest route without knowing the actual shortest route.
@@ElectroWolf_Arts ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-ZMQbHMgK2rw.html Here it is, the explanation about how robots can do this without memorizing the map.
Sir, I know they are using stm32 as mcu, LiPo cells, Maxon DC motors and respective driver, Infrared sensor array, encoder, Gyro sensor. I want to make one here in India. If you help me out, I will be in your debt otherwise I will make it by myself. I want to know each and every detail of this robot. I want you to get me in touch with atleast one of the participants.
At 4:10, he tried to remove the dust which was collected when the mouse ran on the maze on the tires with tapes. At 7:42, he shook the mouse to change running modes with different parameters 🤓.
What are the rules about staying on the line? I thought it would need to keeps its body right on top of the line but it seem to deviate a lot. Very nice.
The rule is here. www.ntf.or.jp/?page_id=68 The robot size should be smaller than 25cm(L)x25cm(W)x20cm(H), rule 1-3. Rule 3.1 asks the robot body to always touch the track. Therefore, contestants may use straw-like materials to stretch the robot body, such that the robot can run a different and better course with faster speed 🤓.
Yes, you are right. The goal area will be announced to all the participants, although the exact maze configuration could only be known at contest time.
While it was searching the first time, I thought I would try my hand at figuring out what route it would take, and I was pleasantly surprised that I was right!
For those who are wondering what the shortcut is, if you slow down the video you can see the path it takes is closer to a smooth curve on the wiggly section than following the line, which allows for far greater speed through that section.
The carrier frequency of PWM signals should be fast enough such that motors can run smoothly. The key figure could be obtained from the mechanical equation between motor torque and speed, i.e. the reaction time of motor speed to the change of motor torque.
It’s indeed included in the total time. We call the time from the start to the goal area “run time”. In this halfsize micromouse contest, the mouse can have at most 10 minutes of total time and 5 tries in the maze. The mouse with the shortest run time wins the game🤓.
I use Microsoft Visio to design the racetrack by using the center line of the track. It would then be redrawn with SolidWorks to make the racetrack 19mm in width, and output to a format that adobe illustrator can read such that the factory can print out the racetrack for us. Before sending the racetrack to the factory, we would cut the track into sticker segments.
This is an autonomous robot competition, which is called half size micromouse contest. At first, the robot would try to find a path to the goal area. After the goal area is reached, the robot would then searches the best route from the start cell to the goal, according to its motion capabilities. A robot with the shortest time from the start cell to the goal wins the contest.
