Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Hashem Haghbayan"'
Publikováno v:
IEEE Access, Vol 11, Pp 24768-24779 (2023)
In this paper, the reconfiguration of swarms of unmanned aerial vehicles after simultaneous failures of multiple nodes is considered. The objectives of the post-failure reconfiguration are to provide collision avoidance and smooth energy-efficient mo
Externí odkaz:
https://doaj.org/article/75f417296dee4dfd8f5369a72df691f1
Publikováno v:
IEEE Access, Vol 10, Pp 101109-101123 (2022)
In this paper, an adaptable fuzzy control mechanism for an Unmanned Aerial Vehicle (UAV) to manipulate its mechanical actuators is provided. The mission (landing) for the UAV is defined to track (land on) an object that is detected by a deep learning
Externí odkaz:
https://doaj.org/article/834d70cc94e14cad995d6f7f4c0f1bb6
Publikováno v:
IEEE Access, Vol 8, Pp 95667-95680 (2020)
A key problem in cooperative robotics is the maintenance of a geometric configuration during movement. As a solution for this, a multi-layered and distributed control system is proposed for the swarm of drones in the formation of hierarchical levels
Externí odkaz:
https://doaj.org/article/dd547eb533914fe4a22dac5a920c2993
Autor:
Jawad N. Yasin, Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila
Publikováno v:
IEEE Access, Vol 8, Pp 105139-105155 (2020)
Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable as possible, necessitating a comparative study of the recent work in this
Externí odkaz:
https://doaj.org/article/2af2a498bb1c412e9207023c2e7a479e
Publikováno v:
IEEE Access, Vol 8, Pp 42784-42793 (2020)
Recent technical advancements in both fields of unmanned aerial vehicles (UAV) control and artificial intelligence (AI) have made a certain realm of applications possible. However, one of the main problems in integration of these two areas is the bot
Externí odkaz:
https://doaj.org/article/9dcaf24f1d4543fdaa4cdcc7209623d6
Autor:
Jawad Naveed Yasin, Sherif Abdelmonem Sayed Mohamed, Mohammad-Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Muhammad Mehboob Yasin, Juha Plosila
Publikováno v:
IEEE Access, Vol 8, Pp 170681-170695 (2020)
Two important aspects in dealing with autonomous navigation of a swarm of drones are collision avoidance mechanism and formation control strategy; a possible competition between these two modes of operation may have negative implications for success
Externí odkaz:
https://doaj.org/article/9e1d0fb7242a4ea4aa3fe44de95aeb86
Publikováno v:
Heliyon, Vol 7, Iss 8, Pp e07840- (2021)
The focus of this work is to present a novel methodology for optimal distribution of a swarm formation on either side of an obstacle, when evading the obstacle, to avoid overpopulation on the sides to reduce the agents' waiting delays, resulting in a
Externí odkaz:
https://doaj.org/article/35b3bfba55814db79e6bd5a57f7c9740
Autor:
Sherif A. S. Mohamed, Mohammad-Hashem Haghbayan, Tomi Westerlund, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila
Publikováno v:
IEEE Access, Vol 7, Pp 97466-97486 (2019)
The development of a navigation system is one of the major challenges in building a fully autonomous platform. Full autonomy requires a dependable navigation capability not only in a perfect situation with clear GPS signals but also in situations, wh
Externí odkaz:
https://doaj.org/article/a4aef20d07644f4795b7aa4c6ab39d40
Publikováno v:
IEEE Transactions on Computers. :1-14
Publikováno v:
Journal of Integrated Design and Process Science. 25:120-140
We propose an adaptive run-time failure recovery control system for quadcopter drones, based on remote real-time processing of measurement data streams. Particularly, the measured RPM values of the quadcopter motors are transmitted to a remote machin