earticle

영어

This paper presents efficient guidelines that allow unmanned ground vehicles (UGVs) to avoid obstacles and interpret sensor data, which were executed by an embedded real-time processor for rapid control prototyping (RCP) model using a graphic system design (GSD) programming language. The obstacle avoidance algorithm uses data from laser sensors in order to enable the UGV to make decisions on how to navigate around its environment. Our research control algorithm was implemented on a real-time system, and data were transferred from a real-time processor to a robot. The robot successfully moved towards its goal by pre-making way-points and avoiding arbitrary obstacles by following the newly made way-points using this algorithm. By integrating commercially-available, off-the-shelf hardware and by using GSD program, we greatly improved the repeatability of developing an autonomous robot that drives and plans its own path.