A Delivery Robot Based on IoT Environment Perception and Real-Time Positioning

This paper provides an implementation method for an intelligent delivery and distribution robot based on the knowledge field of the Internet of Things, which integrates functions such as real-time positioning, and facial recognition. It achieves the required functions at low cost, low power consumption, and simple hardware conditions. This paper introduces the implementation methods of various positioning technologies and interactive algorithm principles of the intelligent delivery robot, the collaborative linkage between various modules, evaluates the gap between the existing technology and algorithms of the project and market demand, and proposes improvement methods and vision. Compared with similar robot systems, this paper proposed has the characteristics of low cost, low power consumption and easy to use.