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A review of UAV platforms for autonomous applications: comprehensive analysis and future directions
Unmanned aerial vehicles have evolved rapidly in the recent past for their widespread
utilization for both commercial and military purposes. It is extremely desirable while …
utilization for both commercial and military purposes. It is extremely desirable while …
Control algorithms, Kalman estimation and near actual simulation for UAVs: state of art perspective
The pervasive use of unmanned aerial vehicles for both commercial and military operations
has undergone rapid development in the recent past. When designing unmanned aerial …
has undergone rapid development in the recent past. When designing unmanned aerial …
A centralized strategy for multi-agent exploration
This paper introduces recently developed Aquila Optimization Algorithm specifically
configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …
configured for Multi-Robot space exploration. The proposed hybrid framework “Coordinated …
Development of reinforced learning based non-linear controller for unmanned aerial vehicle
AFU Din, I Mir, F Gul, S Akhtar - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Design complexities of trending UAVs and the operational harsh environments
necessitates Control Law formulation utilizing intelligent techniques that are both robust …
necessitates Control Law formulation utilizing intelligent techniques that are both robust …
Modified model free dynamic programming: an augmented approach for unmanned aerial vehicle
The design complexities of trending UAVs necessitates formulation of C ontrol L aws that are
both robust and model-free besides being self-capable of handling the evolving dynamic …
both robust and model-free besides being self-capable of handling the evolving dynamic …
Cooperative multi-function approach: A new strategy for autonomous ground robotics
The paper presents multi-objective optimization technique for the exploration of unknown
space. Exploration refers to the building of an estimated finite map of the environment using …
space. Exploration refers to the building of an estimated finite map of the environment using …
[HTML][HTML] Data driven model estimation for aerial vehicles: A perspective analysis
Unmanned Aerial Vehicles (UAVs) are important tool for various applications, including
enhancing target detection accuracy in various surface-to-air and air-to-air missions. To …
enhancing target detection accuracy in various surface-to-air and air-to-air missions. To …
[HTML][HTML] Deep reinforcement learning for integrated non-linear control of autonomous uavs
In this research, an intelligent control architecture for an experimental Unmanned Aerial
Vehicle (UAV) bearing unconventional inverted V-tail design, is presented. To handle UAV's …
Vehicle (UAV) bearing unconventional inverted V-tail design, is presented. To handle UAV's …
Aquila Optimizer with parallel computing strategy for efficient environment exploration
F Gul, I Mir, S Mir - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Abstract This paper introduces Aquila Optimization Algorithm specifically configured for Multi-
Robot space exploration that can be utilized for a wide range of operations. The proposed …
Robot space exploration that can be utilized for a wide range of operations. The proposed …
Flight dynamics modeling with multi-model estimation techniques: A consolidated framework
SK Fatima, SM Abbas, I Mir, F Gul… - Journal of Electrical …, 2023 - Springer
In modern era of aviation technology evolution, unmanned aerial vehicles have proved to be
crucial in all fields including military and research. The development of robust control system …
crucial in all fields including military and research. The development of robust control system …