A Learnable Unmanned Smart Logistics Prototype System Design and Implementation

Abstract

Most of today's logistic systems require people to control them. If there are no enough man-power, e.g. drivers, or the destination is unfamiliar by the driver, delivery could be delayed or the goods may send to the wrong location. This paper demonstrated a prototype of a learnable smart system for precise positioning of unmanned transport machines. The proposed system consists of robotic arms, land vehicles, and unmanned aerial vehicles, which can easily deliver light-cargo to a designated place. The proposed design can automatically deliver goods to designated locations while avoiding environmental influences. Interactive use of unmanned vehicles and unmanned aerial vehicles for transport makes it possible to transport goods to a precise destination. This learnable prototype system can be demonstrated to evaluate the feasibility and performance for a learnable unmanned intelligent transportation system.