scholarly journals MOZAK – RAČUNAR INTERFEJS I NJEGOVA PRIMENA U UPRAVLJANJU DRONOM

2021 ◽  
Vol 36 (10) ◽  
pp. 1835-1838
Author(s):  
Nikola Rogić
Keyword(s):  

U radu su detaljno objašnjeni osnovni principi BCI tehnologije odnosno interfejsa između mozga i računara kao i njegova primena u ipravljanju dronom. Prikazan je AR Drone 2.0 i opisan je njegov princip rada kao i kontrola drona, i konačno uređaj Emotiv Insight dizajniran za BCI. Dat je opis softvera uređaja koji je dizajniran za ovaj uređaj kao i BCI200 platforma dizajnirana za razvoj otvorenog koda za upotrebu u istraživačke ili obrazovne svrhe u oblasti biomedicinskog inženjerstva.

2019 ◽  
Vol 13 (1) ◽  
pp. 39-49
Author(s):  
Fernando Campos Archila ◽  
Valentina Pinzón Saavedra ◽  
Faiber Robayo Betancourt

This paper aims to describe the design and implementation of the height control system for the quadrotor AR. Drone 2.0 making use of a fuzzy logic in a previously established environment. This device has a height control system both in simulation and in the real platform. Three controllers are developed by fuzzy logic whose parameters are obtained from the drone's sensors in such a way that it allows to control height and angles of orientation (Pitch, Roll and Yaw) as long as certain levels of battery charge are considered so that the system does not become unstable. For the visualization and interaction with the drone a Matlab® interface is designed and implemented, that allows communication between the user and all system functions in such a way that the mode of execution can be chosen, follow the reference parameters autonomously, store data for a later analysis, and visualize the displacements to observe the efficiency of system.


2015 ◽  
Vol 107 (1) ◽  
pp. 61-71
Author(s):  
Juan Carlos Rodríguez-Sánchez ◽  
Victor Manuel Landassuri-Moreno ◽  
José Martín Flores Albino
Keyword(s):  

2019 ◽  
Vol 27 ◽  
pp. 04001
Author(s):  
Mohamad Ghaith Alzin ◽  
Hiroki Imamura

In this paper, we propose a novel haptic device consisting of a Parrot quadcopter AR Drone 2.0 that delivers force-feedback to users when they press on the surface of the drone in the vertical direction. This drone haptic device will free users from any cumbersome devices which were utilized in previous haptics systems and allow them to sense kinesthetic feedback coming from the drone which in turn renders computer graphic objects, for example, a virtual box. Specifically, this system performs damped harmonic oscillation force motion on users’ hands and fingers. The oscillation function is implemented on the drone whenever users nudge the drone down. Overall, we evaluated the system with ten subjects, and results show the effectiveness of using damping oscillation motion to provide force-feedback delivered from the drone.


2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Aris Pujud Kurniawan ◽  
Giva Andriana Mutiara ◽  
Gita Indah Hapsari

AR Drone 2.0 is a miniature unmanned aerial vehicle used in the field of research. AR Drone 2.0 has a camera and IMU sensors, so it can be used to get visual data from air which hardly done by human. Unmanned aerial vehicle requires GPS (Global Positioning System) so that the pilot can control it remotely as well as to support automatic fly without pilot. While GPS data are supported by AR Drone 2.0 it still needs data conversion process due to the difference in data protocol which is used between the Drone and the GPS. This conversion process required processor or controller to process the data. Integration of GPS with AR Drone using controller also allows drone to run for automatic control. In addition, GPS data will also be sent information of latitude and longitude to computer so that the pilot can determine the current position when AR Drone is flying. The GPS system used for this design can be developed further in the future because it is open source.  


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