PROJECT & FUNDING SCHEMES

Hong Kong's densely populated urban environment relies heavily on manual labor for tasks such as security patrols and maintenance checks in estates. However, the
workforce in these sectors is aging, with most workers being over 50 years old, and there is a declining interest in labor-intensive roles. This situation presents significant sustainability and efficiency challenges, as current methods are costly, time-consuming, and struggle to provide consistent 24/7 coverage.
This project proposes an autonomous robot patrol system that uses behavior-based navigation techniques, such as wall following and obstacle avoidance, to replace repetitive manual tasks. By integrating robotic dog and drone, the system ensures costeffective, scalable, and real-time adaptable operations in structured indoor environments.
This approach not only addresses the labor shortage but also enhances operational efficiency and reliability, providing a sustainable solution for the future.