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This article describes a method of organizing the communication protocol, which allows agents of the multiagent system (MAS) to make decisions about their actions. Plan activities and interact with each other to perform tasks of modern industrial and business processes based on cyber-physical systems. The main attention is paid to those multi-agent systems, where autonomous agents — robots or smart...
This work proposes an obstacle avoidance method based on depth camera for UAV navigation. Firstly, we use a RealSense depth-camera to obtain depth images of the UAV flight environment. Then the image processing board is applied to stratify and segment the depth image and to obtain the orientation and distance information of the obstacle, thus generating the corresponding obstacle avoidance instructions...
This paper describes the use of mobile agents in the group of cooperating UAV and UGV autonomous robots. Multiagent system simulation uses an environment that integrates robot operating system (ROS), V-REP simulation environment and JADE multi-agent system. Mobile agents ensure the continuation and completion of the mission even in case of failure of a device from a group. Paper describes a particular...
This paper discusses the mobile agents and their application in a heterogeneous multi-agent system in the form of a group of cooperating UAV and UGV autonomous robots. Mobile agents are able to migrate, when necessary, from one device to the other, thereby ensuring the completion of the entire mission, even in the case of breakdown of any of the devices. In this paper, I describe the testing of mobile...
The main purpose of this article is to build a general platform for Unmanned Aerial Vehicle (UAV) simulation especially for vision algorithms. This general simulation platform can also connect to realistic UAVs for further tests. The platform enables UAVs controlled by a variety of advanced vision algorithms to accomplish certain tasks. Unlike the previous simulation systems, which can only achieve...
In this paper, a fuzzy control system is presented for an unmanned aerial vehicle (UAV) which provides aerial support for an unmanned ground vehicle (UGV). The UGV acts as a mobile launching pad for the UAV. The UAV provides additional environmental image feedback to the UGV. Our UAV of choice is a Parrot ArDrone 2.0 quadcopter, a small four rotored aerial vehicle, competent for its agile flight and...
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