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In this paper, by understanding the problem of route optimization of UAV under specific environmental conditions, mathematical model is established and algorithm is used to solve it, and the flight time of UAV is minimized under specified speed and ...

This paper presents a novel approach to identifying anomalous individuals among UAVs utilizing receding-horizon clustering. The artificial potential field methods (APF) with a leader-follower mechanism are employed to generate multiple intelligently ...

In dynamic environments, safe motion planning for robots is one of the frequently encountered challenges in real applications. To address this issue, this paper proposes a real-time obstacle avoidance and pathfinding controller (ROAPC) for robot ...

Unmanned aerial vehicles (UAVs) have various applications in different settings, including for example, surveillance, packet delivery, emergency response, data collection in the Internet of Things (IoT), and connectivity in cellular networks. However, ...

When ground reconnaissance mobile robots perform tasks alone, they can only obtain ground view perception, which leads to the inability to globally optimize, resulting in local rather than global optimal solutions. Inspired by this, a servo control ...

With the rise of artificial intelligence, ships are gradually becoming intelligent. Ship path planning, as the foundation of ship intelligence, has become a current research hotspot. To achieve the planning of ship collision avoidance paths, a hybrid ant ...

To address the issues of exploration imbalance and slow convergence speed in the Q-learning path planning algorithm, an adaptive improved Q-learning path planning algorithm based on an obstacle learning matrix and artificial potential field (APF) is ...

With the progress of manufacturing capability and the requirements of modern project construction clustering and safety, unmanned technology has become a major development direction for construction machinery. The study analyzes the defects of ...

Aiming at the defects of ant colony inengineering path planning, this study uses the basic ant colony method combinedwith the artificial potential field (APF) algorithm to construct comprehensiveheuristic information to improve the efficiency of the ...

A large number of grain machinery and vehicle equipment are usually required in the raw grain storage phase, and these objects together form the path planning map environment for the unmanned grain transfer vehicle. After using LiDAR to build a map of the ...

The problem of mixed static and dynamic obstacle avoidance is essential for path planning in highly dynamic environments. However, the paths formed by grid edges can be longer than the actual shortest paths in the terrain since their headings are ...

Autonomous navigation of a robot is a promising research domain due to its extensive applications in which planning and motion control are the most important and interesting parts. The proposed techniques are classified into two main categories: the first ...

In this paper, the multi-UAV cooperative target searching problem is investigated and a close loop path planning method is developed for UAVs in uncertain environment. The proposed method includes two consecutive parts, the multi-UAV cooperative target ...

Artificial Potential Field (APF) method is used for the path planning through the simplest and efficient ways. Although it provides very good performances, it may fall in local minima problem, which prevents the agent to arrive its destination. The main ...

The objective of this paper is to develop a path planning algorithm that is able to plan the trajectory of mobile robots from its start point to target point in static and dynamic unknown environments. The classical artificial potential field (APF) method ...

The artificial potential field is one of the most popular algorithms in the robot path planning. The algorithm's structure is simple and the algorithm implement quite easily. However, the traditional artificial potential field algorithm have a local ...

In order to solve problem of path planning for Unmanned Aerial Vehicle (UAV) in dynamic environment, a three-dimensional (3D) path planning algorithm of UAV which Based on improved artificial potential field is proposed in this paper. First, the problem ...

The potential field method is widely used for autonomous robots due to its simplicity and high efficiency in dynamic motion planning. However, there is still drawback of unnecessary obstacle avoidance of former methods in dynamic obstacle avoidance ...

Our research is focused on mobile robots that can accompany a person, and this paper addresses how to control the relative position of the robot to the accompanied person according to the dynamic environment. The robot is expected to move side-by-side ...

He artificial potential field (APF) algorithm is widely used for virtual human path planning. Two concerned problems of this algorithm are chiefly introduced, which are the goal nonreachable problem with obstacles nearby and the local minimum problem. ...

We present a computational framework and experimental platform for robot navigation that allows for a user-friendly, graphical and haptic interaction with the human operator during the deployment process. The operator can see, feel, and manipulate the ...