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This project set out to design and build a low-cost autonomous robot capable of identifying and following paths or objects. While the initial design was simple, the concept carried far-reaching potential — from delivering medical supplies in remote areas to serving as a robotic guide dog. For the team, the project represented an opportunity to step beyond the classroom and apply engineering principles to a real, socially impactful challenge.
Develop an autonomous robot that could move reliably across different surfaces.
Design a system powered by lightweight electronics and programmed to recognise and track objects or paths.
Gain practical experience in balancing hardware limitations with software ambition.
The team assembled a full robotic system, integrating:
Chassis, motors, and batteries for movement and stability.
A microcontroller and camera for navigation and object recognition.
Detection algorithms, developed and tested in a virtual environment before real-world implementation.
The process combined mechanical design, electronics integration, and programming, providing a comprehensive learning experience in both hardware and software engineering.
Produced a working prototype of an object-tracking autonomous robot.
Gained practical experience in system integration, algorithm testing, and real-world engineering trade-offs.
Identified key limitations — such as motor strength and component reliability — that will inform future iterations of the project.