During Course "Object Collection with Wheeled Robots", which builds upon all the previous courses, lets students practice more about how to use all the sensors we have mounted on our wheeled robot, including the ultrasonic sensors and the camera, to detect and approach target objects up to a specified position, from which the robotic arm adjusted can manipulate the target objects appropriately. At first, students learn about Sensor Fusion and the challenges we are presented with when trying to combine information from different sources, along with the Probabilistic Theory we have introduced to deal with the uncertainty of this process. Then, students can see different hostile environment applications that robots are used for in the modern world. Afterwards, more Computer Vision skills are taught and students can see how to use different filters to detect different elements in their images through the use of OpenCV functions. Finally, they combine the skills they learned to complete the challenge of detecting target objects around the robot, navigating to them, picking them up with the robotic arm and carrying them to a target location.