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 …
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 …
[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 …
[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] 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 …
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 …
[PDF][PDF] Path planning and collision avoidance methods for distributed multi-robot systems in complex dynamic environments
Z Yang, J Li, L Yang, Q Wang, P Li… - Mathematical Biosciences …, 2023 - aimspress.com
Multi-robot systems are experiencing increasing popularity in joint rescue, intelligent
transportation, and other fields. However, path planning and navigation obstacle avoidance …
transportation, and other fields. However, path planning and navigation obstacle avoidance …
[HTML][HTML] Flight dynamics modeling with multi-model estimation techniques: A consolidated framework
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 …
Multi-agent robotics system with whale optimizer as a multi-objective problem
A multi-objective optimization method for exploring uncharted space is presented in the
study. Robotics exploration personnel create a map of the immediate area using sensor …
study. Robotics exploration personnel create a map of the immediate area using sensor …