Navigation of Mobile Robot with Cooperation of Quadcopter

The simulation of a navigation heterogeneous group of robots; unmanned ground vehicle (UGV), unmanned aerial vehicle (UAV) through GPS, digital map and image processing using probabilistic roadmap method (PRM) arc addressed throughout this paper. Having the capacity to navigate accurately is one of the major abilities of a mobile robot to effectively execute a variety of jobs including manipulation, docking, and transportation. To achieve the desired navigation accuracy, mobile robots are typically equipped with on-board sensors to observe persistent features in the environment, to estimate their pose from these observations, and to adjust their motion accordingly [1]. According to the scenario of the mission, UAV takes off from UGV, surveys the terrain and transmits Image terrestrial robot. UGV processes images, calculating the optimum trajectory method Probabilistic Roadmap with the help of GPS, and provide standalone navigate through the outdoor based on the calculated route. The group of robots is: UGV Belarus-132N and UAV Phantom-2 Vision quadcopter.