Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
S Aggarwal, N Kumar - Computer communications, 2020 - Elsevier
Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …
Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey
Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with
significant market potential. UAVs may lead to substantial cost savings in, for instance …
significant market potential. UAVs may lead to substantial cost savings in, for instance …
[HTML][HTML] Application of AI techniques and robotics in agriculture: A review
The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …
Survey on coverage path planning with unmanned aerial vehicles
Coverage path planning consists of finding the route which covers every point of a certain
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …
An overview of cooperative robotics in agriculture
Agricultural robotics has been a popular subject in recent years from an academic as well as
a commercial point of view. This is because agricultural robotics addresses critical issues …
a commercial point of view. This is because agricultural robotics addresses critical issues …
A review on multirobot systems in agriculture
Agricultural multirobot systems (MRSs) are expected to be essential in future agriculture.
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …
[HTML][HTML] Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits
Grapevine phenoty** is the process of determining the physical properties (eg, size,
shape, and number) of grape bunches and berries. Grapevine phenoty** information …
shape, and number) of grape bunches and berries. Grapevine phenoty** information …
Autonomous navigation of UAV in multi-obstacle environments based on a deep reinforcement learning approach
Path planning is one of the most essential part in autonomous navigation. Most existing
works suppose that the environment is static and fixed. However, path planning is widely …
works suppose that the environment is static and fixed. However, path planning is widely …
Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction
Three-dimensional terrain reconstruction from 2D aerial images is a problem of utmost
importance due its wide level of applications. It is relevant in the context of intelligent …
importance due its wide level of applications. It is relevant in the context of intelligent …
Deterministic policy gradient with integral compensator for robust quadrotor control
In this paper, a deep reinforcement learning-based robust control strategy for quadrotor
helicopters is proposed. The quadrotor is controlled by a learned neural network which …
helicopters is proposed. The quadrotor is controlled by a learned neural network which …