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 …
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 …
Robust flight control system design of a fixed wing UAV using optimal dynamic programming
Innovative design intricacies of new generation of UAVs, necessitate formulation of control
laws utilizing intelligent techniques which are independent of underlying dynamic model …
laws utilizing intelligent techniques which are independent of underlying dynamic model …
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 …
Multi-agent variational approach for robotics: a bio-inspired perspective
This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space
Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio …
Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio …
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 …
Aquila Optimizer with parallel computing strategy for efficient environment exploration
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 …
[HTML][HTML] Enhancing Quadrotor Control Robustness with Multi-Proportional–Integral–Derivative Self-Attention-Guided Deep Reinforcement Learning
Y Ren, F Zhu, S Sui, Z Yi, K Chen - Drones, 2024 - mdpi.com
Deep reinforcement learning has demonstrated flexibility advantages in the control field of
quadrotor aircraft. However, when there are sudden disturbances in the environment …
quadrotor aircraft. However, when there are sudden disturbances in the environment …
Sky's the Limit: Navigating 6G with ASTAR-RIS for UAVs Optimal Path Planning
The surge in the number of various types of connected devices with the upcoming 6G
networks may surpass the capabilities of traditional wireless infrastructure. Specifically …
networks may surpass the capabilities of traditional wireless infrastructure. Specifically …