Autonomous Sorting and Detecting E-Waste System with UR3E Robotics Platform.

This project leverages the Robothon Competition tasks as a realistic simulation to tackle the challenges involved in actual e-waste sorting, allowing for the development of effective and scalable automated solutions.

Challenge Tasks:
1. First Tasks: At the start of the challenge, two types of batteries, AA, and AAA, will be randomly placed in the designated green area of the Robothon box. The robot must accurately detect the position and type of each battery using computer vision. Once the robot has determined the type of battery, it must pick it up and place it in the correct location.

2. Second Tasks: Upon finishing the initial task, the robot will proceed to retrieve the coin in order to remove the batteries from the Double-A battery holder. Subsequently, it will carefully extract the batteries and place them in the correct order.