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The Micromouse 2.0 Competition augments the well known Micromouse competition with a machine learning tasked designed to introduce participants to complex robotic solutions. Teams of up to 4 will be given 2 wheel, differential drive robots and are tasked with autonomously navigating a maze in search of 3 objects. Once an object has been located, the robot will spin to signify a success and navigate to the correct corner marked by the object. This competition requires students to apply creative engineering and teamwork to solve the proposed challenge.
The rules for both the virtual tournament and physical tournament are identical. Teams will be provided AWS credits and/or a Waveshare JetBot to explore and successfully navigate a maze. A total of 4 runs is allowed for each team to accomplish all of the required tasks. The robot will start in the upper-left corner (Position 1 on the diagram below). Initial runs will be used to explore the maze creating a map of the environment. For proceeding runs 3 images will be placed randomly throughout the maze and return them to their corresponding corners. The images and their respective corners will be revealed in the near future. The robot will perform a spin to signify the image has been detected and the corner has been reached. Once all 3 images are collected the robot must navigate to the center of the maze (Position 2 on the diagram) and spin one final time to finish the run.
February 1: Official competition sign-Up form will be released.
February 18: Sign-up will be closed.
February 20: Detection images will be released to all participating teams.
February 25: Coding Competition will take place.
Please use the following link to sign up your team for the competition!
Sign-Up Form
This tournament requires a great deal of learning in order to succeed. As such any technical questions can be sent in the issues section of the Github. Questions and answers will be open to all teams. Questions and Concerns
IEEE Computer Society
IEEE Philadelphia Section
AWS Robomaker
Temple University School of Engineering
The 5 teams with shortest completion time will be awarded a Waveshare Jetbot with Lidar provided by AWS.
Robomaker setup, Pytorch examples for image recognition
Joseph Bruno |
Anway Bose |
Li Bai |
Don Webster |