In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool
for countless applications in nearly every industry, in which collision avoidance plays a vital …

Given the increased interest in smart assistive technologies and autonomous robot vehicles,
path planning has emerged as one of the most researched and challenging topics in …

This review explores the integration of machine learning (ML) and reinforcement learning
(RL) techniques in enhancing the navigation and obstacle avoidance capabilities of …

Due to the high demands on military and commercial applications, the development of UAVs
(unmanned aerial vehicles) has become increasingly important in recent years. In this …

The inspection of electric power transmission lines using unmanned aerial vehicles
represents an innovative maintenance approach that several countries, including Morocco …

Swarms composed of multiple unmanned aerial vehicles (UAVs) are emerging as a key tool
in various application fields including aerial surveillance, urban search and rescue, and …

Multi-sensor information fusion is widely used in the field of unmanned aerial vehicles
obstacle avoidance flight, particularly in millimeter-wave (MMW) radar and camera fusion …

无人机成本低, 机动性**且视野广阔, 广泛用于军事和民用领域. 不断增**感知与决策能力,
进而提高无人机的自主性, 是无人机系统发展的必然趋势. 本文围绕实现多旋翼无人机自主控制 …

Multi‐agent systems are a significant and popular area of study in robotics, focusing on
efficient and safe coordination among multiple agents. This paper presents algorithms for …

Automation of the obstacle avoidance is observed to be a potential challenges in the growth
of self-driving vehicles (SDVs). For obstacle avoidance data is received from high resolution …