Workshop Objective
- Train a YOLOv11 object detection (computer vision) algorithm to identify images of traffic signs and QR Codes.
- Utilize LIDAR and IMU to facilitate navigation.
- Code a Python script to move the robot based on the string output of the object detection model.
Learning Outcomes
- Describe the process of identifying QR codes.
- Describe the process of training custom object identification models.
- Identify the basic kinematic conventions on a differential drive robot (i.e. axes in robot frame and direction).
- Utilize and integrate sensors to tasks.
- Describe the basic syntax and logic flow of a Python script that moves the robot.
Hands-on activities
- Using online datasets to train object detection models.
- Remotely teleoperating the robot.
- Integrating the object detection model.
- Programming a Python script to move the robot based on the output of the object detection model.
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