Innovation in Motion: Rescuing Robotic System

The project required integrating a UAV (drone) and a Land Rover into a single, coordinated robotic system. This involved knowledge of mechatronics—combining mechanical, electrical, and computer engineering to ensure both robots could work together seamlessly for search and rescue missions, including payload management and deployment mechanisms.

Implementing ORB-SLAM3 for navigation and YOLOv8 for real-time object detection demanded expertise in computer vision and AI. This included understanding image processing, feature extraction, simultaneous localization and mapping (SLAM), and training or optimizing neural networks for accurate victim detection in complex environments.

Designing the Land Rover to traverse rough terrain and be carried by a drone required advanced mechanical engineering skills. This included lightweight structural design, terrain-adaptive mechanisms, 3D modeling, and iterative prototyping to ensure durability, compactness, and functionality under real-world conditions.

Developing the electronics layout and power distribution for the Land Rover involved embedded systems knowledge. This included circuit design, sensor integration, power management, and ensuring stable operation of all components, especially in challenging outdoor environments.

Ensuring reliable, long-range communication between the UAV, Land Rover, and base station was critical. This required understanding wireless protocols, signal processing, and the limitations of different technologies (e.g., why 5G was not feasible in rural areas), as well as integrating multiple subsystems (navigation, detection, control) into a robust, unified solution.

Team members had to quickly learn new technologies, such as ORB-SLAM3, YOLOv8, and 3D modeling software, often outside their original field of study. This adaptability and willingness to acquire new skills are essential for lifelong learning, enabling individuals to thrive in rapidly changing environments.

The project presented complex, real-world challenges, from technical integration to communication limitations in rural areas. The team systematically researched, brainstormed, and tested solutions, demonstrating the ability to analyze problems, weigh alternatives, and implement effective strategies—key skills for continuous personal and professional growth.

Working in an inter-departmental team and with external partners like the Hong Kong Police Force required clear communication and teamwork. Sharing ideas, seeking feedback, and leveraging each member’s strengths fostered a collaborative environment, which is vital for success in multidisciplinary and multicultural settings.

Balancing the FYP with other commitments, competitions, and job searches required strong time management. The team learned to prioritize tasks, set deadlines, and sometimes work overnight to meet goals. Effective organization and time management are crucial for lifelong productivity and stress management.

Team members became proactive in seeking help from professors, PhD students, and industry vendors, as well as utilizing university resources. This resourcefulness and initiative in overcoming obstacles and seizing learning opportunities are hallmarks of lifelong learners who continuously seek improvement and innovation.