scholarly journals Robot Operating System (ROS) in Quadcopter Flying Robot Using Telemetry System

2021 ◽  
Vol 1 (1) ◽  
pp. 54-65
Author(s):  
Mohammad Iqbalul Faiq Hatta ◽  
Nuryono Satya Widodo

In this study implementing odometry using RVIZ on a quadcopter flying robot that uses the Pixhawk Cube firmware version 3.6.8 as the sub-controller. Then the Lenovo G400 laptop as the main-controller as well as the Ground Control Station using the ubuntu 16.04 Linux operating system. The ROS platform uses the Kinetic and MAVROS versions as a quadcopter platform package using MAVlink communication with the telemetry module. The odometry system was tested using Rviz as navigation for Quadcopter movements in carrying out movements that follow movement patterns in certain shapes and perform basic robot movements. Data were collected using a standard measuring instrument inclinometer as a measurement of the slope of the robot and visualization RVIZ as a visual display of the odometric robot. The results of the research obtained are that the flying robot can maneuver according to the shape on the RVIZ according to the movements carried out directly at the airport, as well as the effect of the roll angle on the quadcopter (negative left roll, positive right) and the pitch angle on the quadcopter (negative forward pitch, the pitch returns positive).

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1369
Author(s):  
Hyojun Lee ◽  
Jiyoung Yoon ◽  
Min-Seong Jang ◽  
Kyung-Joon Park

To perform advanced operations with unmanned aerial vehicles (UAVs), it is crucial that components other than the existing ones such as flight controller, network devices, and ground control station (GCS) are also used. The inevitable addition of hardware and software to accomplish UAV operations may lead to security vulnerabilities through various vectors. Hence, we propose a security framework in this study to improve the security of an unmanned aerial system (UAS). The proposed framework operates in the robot operating system (ROS) and is designed to focus on several perspectives, such as overhead arising from additional security elements and security issues essential for flight missions. The UAS is operated in a nonnative and native ROS environment. The performance of the proposed framework in both environments is verified through experiments.


2016 ◽  
Vol 2 (1) ◽  
Author(s):  
Lukman Rosyidi

Teknologi memberikan peranan penting dalam menyelesaikan permasalahan yang kadang manusia tidak mampu mengatasinya, seperti halnya lambatnya pencarian dan penanganan bagi korban bencana alam. sampai saat ini banyak kasus dari bencana alam seperti tanah longsor kebakaran ataupun jatuhnya pesawat yang masih sulit untuk ditangani secara cepat dan tepat, hal ini diakibatkan dari beberapa penyebab seperti akses untuk menuju ke tempat bencana tertutup ataupun karena banyaknya kemacetan jika menggunakan jalur darat. Karena masalah ini begitu banyak korban bencana alam yang tak dapat diselamatkan. Salah satu solusi dari masalah ini adalah dengan menggunakan jalur udara , tapi biaya yang akan dikeluarkan jika menggunakan pesawat ataupun helikopter sangat besar.Jadi solusinya adalah menggunakan Explore Flying Robot seperti UAS(Unmanned Aircraft System). UAS(Unmanned Aircraft System) adalah sebuah pesawat tanpa awak yang banyak digunakan untuk keperluan militer. UAS yang akan dipersiapkan untuk pencarian dan penangan korban bencana alam, dan kami mencoba untuk menciptakan sebuah solusi baru yaitu ASEFRO (Autonomous Search and Explore Flying Robot) yang merupakan robot terbang autonomous pembawa sensor dan kamera berbasis navigasi GPS yang dibuat untuk membantu tim SAR dalam evakuasi, pencarian korban dan penjelajahan medan pada kegiatan penanggulangan bencana alam ASEFRO melakukan penjelajahan udara berketinggian rendah (low altitude) karena pada berbagai kejadian bencana alam, kondisi medan darat/terestrial sangat sulit ditempuh dan akan menghabiskan waktu eksplorasi yang lama, ASEFRO dilengkapi oleh perangkat lunak GCS (Ground Control Station) yang dapat dioperasikan di laptop.


2018 ◽  
Author(s):  
Yi Chen ◽  
Sagar Manglani ◽  
Roberto Merco ◽  
Drew Bolduc

In this paper, we discuss several of major robot/vehicle platforms available and demonstrate the implementation of autonomous techniques on one such platform, the F1/10. Robot Operating System was chosen for its existing collection of software tools, libraries, and simulation environment. We build on the available information for the F1/10 vehicle and illustrate key tools that will help achieve properly functioning hardware. We provide methods to build algorithms and give examples of deploying these algorithms to complete autonomous driving tasks and build 2D maps using SLAM. Finally, we discuss the results of our findings and how they can be improved.


2021 ◽  
Vol 13 (8) ◽  
pp. 188
Author(s):  
Marianna Di Gregorio ◽  
Marco Romano ◽  
Monica Sebillo ◽  
Giuliana Vitiello ◽  
Angela Vozella

The use of Unmanned Aerial Systems, commonly called drones, is growing enormously today. Applications that can benefit from the use of fleets of drones and a related human–machine interface are emerging to ensure better performance and reliability. In particular, a fleet of drones can become a valuable tool for monitoring a wide area and transmitting relevant information to the ground control station. We present a human–machine interface for a Ground Control Station used to remotely operate a fleet of drones, in a collaborative setting, by a team of multiple operators. In such a collaborative setting, a major interface design challenge has been to maximize the Team Situation Awareness, shifting the focus from the individual operator to the entire group decision-makers. We were especially interested in testing the hypothesis that shared displays may improve the team situation awareness and hence the overall performance. The experimental study we present shows that there is no difference in performance between shared and non-shared displays. However, in trials when unexpected events occurred, teams using shared displays-maintained good performance whereas in teams using non-shared displays performance reduced. In particular, in case of unexpected situations, operators are able to safely bring more drones home, maintaining a higher level of team situational awareness.


Aerospace ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 133
Author(s):  
Sugjoon Yoon ◽  
Dongcho Shin ◽  
Younghoon Choi ◽  
Kyungtae Park

In order to study air traffic control of UAS’s (Unmanned Aerial Systems) in very low altitudes, the UTM (UAS Traffic Management) simulator has to be as flexible and expandable as other research simulators because relevant technologies and regulations are not matured enough at this stage. Available approaches using open sources and platforms are investigated to be used in the UTM simulator. The fundamental rationale for selection is availability of necessary resources to build a UTM simulator. Integration efforts to build a UTM simulator are elaborated, using Ardupilot, MavProxi, Cesium, and VWorld, which are selected from the thorough field study. Design requirements of a UTM simulator are determined by analyzing UTM services defined by NASA (National Aeronautics and Space Administration) and Eurocontrol. The UTM simulator, named eUTM, is composed of three components: UOS (UTM Operating System), UTM, and multiple GCSs (Ground Control Stations). GCSs are responsible for generation of flight paths of various UASs. UTM component copies functions of a real UTM such as monitoring and controlling air spaces. UOS provides simulation of environment such as weather, and controls the whole UTM simulator system. UOS also generates operation scenarios of UTM, and resides on the same UTM computer as an independent process. Two GCS simulators are connected to the UTM simulator in the present configuration, but the UTM simulator can be expanded to include up to 10 GCS simulators in the present design. In order to demonstrate the flexibility and expandability of eUTM simulator, several operation scenarios are realized and typical deconfliction scenarios among them are tested with a deconfliction algorithm. During the study, some limits are identified with applied open sources and platforms, which have to be resolved in order to obtain a flexible and expandable UTM simulator supporting relevant studies. Most of them are related to interfacing individual sources and platforms which use different program languages and communication drivers.


Author(s):  
A. V. Satyanarayana ◽  
K. Hareesh Kumar ◽  
Jeevana Jyothi Pujari ◽  
Chitturi Prasad ◽  
Sunkari Venkata Ramakrishna ◽  
...  

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