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040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aPh.D
099 _aCai01.13.01.Ph.D.2021.Yu.M
100 0 _aYunes Sharaf Noman Alqadasi
245 1 0 _aMotion planning :
_bguidance and control of autonomous swarm flying-robots /
_cYunes Sharaf Noman Alqadasi ; Supervised Gamal M. Elbayoumi , Ayman H. Kassem
246 1 5 _aالتحكم والتوجيه وتخطيط الحركة لسرب من الروبوتات الطائرة
260 _aCairo :
_bYunes Sharaf Noman Alqadasi ,
_c2021
300 _a119 P. :
_bcharts ;
_c30cm
502 _aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Aerospace Engineering
520 _aSmall Unmanned Flying Vehicles (UFV) such as multicopters have gained a considerable popularity over the last years.This noticeable interest has arisen due to their versatility, agility, maneuverability, and large range of applications. However, some complicated tasks and applications required a swarm formation consists of multiple flying robots working in a collaborative and coordinated manner to effectively accomplish the intended missions.This dissertation proposes a set of algorithmsto deal with motion planning, trajectory generation and control of basic behaviors and typical missions in swarm robotics such as:Synchronous Allocation and Planning of Trajectories (SAPT) both in obstacle-free and obstacle-cluttered environments,Multi-Robots Guidance Problems (MRGP), Pattern Formation and Collective Movement Control (PFCMC), and Guided Swarm to Intercept Moving Targets (GSIMT).Allaforementioned tasksare modeled and implemented in MATLAB with three-dimension animation and simulation to demonstrate the convergence and features of the proposed algorithms.These basic missions will be applied to different swarm applications
530 _aIssued also as CD
653 4 _aMulti-Robot Path Planning
653 4 _aMulti-Robot Task Allocation
653 4 _aSwarm UAVs
700 0 _aAyman H. Kassem ,
_eSupervisor
700 0 _aGamal M. Elbayoumi ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c83677
_d83677