Self-Driving Car Project | Donkey Car
As a Design Technology teacher, embarking on a project to build a Donkey Car offers a rich, interdisciplinary learning experience. Here is what one can expect to learn and teach through this hands-on project:
Engineering and Mechanics: Gain hands-on experience assembling mechanical components, understanding vehicle dynamics, and working with hardware like motors, wheels, and chassis.
Electronics and Robotics: Learn about wiring, sensors (e.g., cameras, ultrasonic sensors), and microcontrollers (e.g., Raspberry Pi) to create a functional autonomous system.
Python Programming and AI: Explore coding in Python, machine learning, and neural networks to train the car to drive autonomously using computer vision and data collection.
Design Thinking: Apply design principles to create a functional and aesthetically pleasing Radio-controlled Car, considering ergonomics, materials, and user experience.
Problem-Solving and Iteration: Develop critical thinking and troubleshooting skills as you debug hardware and software issues and test and refine the car’s performance.
Collaboration and Project Management: Manage a multidisciplinary project, delegate tasks, and work collaboratively, especially with other builders on GitHub, mirroring real-world engineering and design processes.
Ethics and Implications of AI: Discuss the ethical considerations of autonomous systems, such as safety, privacy, and societal impact.
This project enhances technical skills and fosters creativity, innovation, and a deeper understanding of how technology integrates with design and real-world applications. It is an excellent way to inspire our students and demonstrate the practical relevance of Design Technology in modern engineering and AI.
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