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Wyszukujesz frazę "aerial robot" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Enhancing sensor capabilities of walking robots through cooperative exploration with aerial robots
Autorzy:
Heppner, G.
Roennau, A.
Dillman, .
Powiązania:
https://bibliotekanauki.pl/articles/385230.pdf
Data publikacji:
2013
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
walking robot
aerial robot
Lauron
cooperative exploration
low cost sensors
UAV
ARDrone
Opis:
Mobile robots can be used to support humans in many applications ranging from simple process automation to complex autonomous inspection tasks. While walking robots are perfectly suited to cross rough terrain, they are not able to detect everything in their environment as certain areas might be occluded or too far away. This paper presents a method of enhancing the sensor capabili- ties of the walking robot LAURON IVc with the use of the lightweight aerial robot ARDrone. A simple method for localization of the ready to use UAV is presented using only color tags and the motor encoders of LAURON. The combination of these two robot types enhances the sensor range of LAURON greatly, while the ARDrone gains localiza tion information from LAURON that acts as a base station.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 2; 5-11
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Novel nature-inspired autonomous guidance of aerial robots formation regarding honey bee artificial algorithm and fuzzy logic
Autorzy:
Shafieenejad, Iman
Powiązania:
https://bibliotekanauki.pl/articles/2055040.pdf
Data publikacji:
2020
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
nature-inspired guidance
honey bee swarm
optimal trajectory
aerial robot
fuzzy logic
Opis:
In this article, a novel nature-inspired autonomous guidance is investigated regarding the honey bee motion algorithm for aerial robots and fuzzy logic. Combination of the bee al- gorithm and fuzzy logic is proposed to achieve an on-line guidance for methodology of this research. The main idea of this work belongs to a novel analogy between honey bees and aerial robots motions. Moreover, information links between the aerial robots are demon- strated to construct a formation of vehicles by updating motions based on fuzzy decision making. Three dimensional simulations for the aerial robots are considered to show the ef- ficient performance of autonomous guidance. The simulation results show precise ability of the proposed method for aerospace and robotics engineers based on a nature phenomenon to present an innovative guidance method.
Źródło:
Journal of Theoretical and Applied Mechanics; 2020, 58, 3; 791--798
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automated UAV to Survey and Monitor Ionising Radiation Levels in a Closed Environment
Autorzy:
Anand, R.
Harshith, Kumar M. B.
Raghavan, Anirudh
Maddara, Roopak
Anand, Prajna
Powiązania:
https://bibliotekanauki.pl/articles/2175938.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
unmanned aerial vehicle
indoor SLAM
sensor data
disaster management robot
path planning
obstacle avoidance
Opis:
Since tragedies caused by nuclear disasters are always a concern, it is essential that nuclear power plants be monitored on a regular basis for any irregularities in ionising radiation levels. Irrespective of leakage proof measures being deployed in the plant, ensuring the safety of these measures is necessary. Given this scenario, the present study proposes the usage of unmanned aerial vehicles (UAVs) to ensure that radiation levels in nuclear plants remain within safe limits. The UAV deployed will map the entire environment following a unique path planning algorithm and monitor the environment with an onboard radiation sensor. If any irregularities are detected, the positional coordinates are flagged, and the A* algorithm is implemented to generate the shortest path between the starting point, and the flagged coordinates, which are considered as the destination coordinates. The UAV is made to traverse the shortest path together with maintaining stability of the system while traversing.
Źródło:
Power Electronics and Drives; 2022, 7, 42; 134--145
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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