In the context of motion planning in robotics, the problem of path planning based on artificial
potential fields has been examined using different algorithms to avoid trapping in local …

Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due
to the possibility of covering a large area and the necessity of periodic monitoring. In …

As an emerging technology, multi-UAV collaboration is widely used in military and civil
applications, including regional surveillance, remote sensing, target strike, etc. As a key step …

The important nodes identification has been an interesting problem in this issue. Several
centrality methods have been proposed to solve this problem, but most previous methods …

Path planning for unmanned aerial vehicles (UAVs) has been widely considered in various
tasks. Existing path planning algorithms, such as A* and Jump Point Search, have been …

Aiming at the problems of “local minimum” and “unreachable target” existing in the
traditional artificial potential field method in path planning, an improved artificial potential …

The main emphasis of this work is placed on the problem of collaborative coverage path
planning for unmanned surface mapping vehicles (USMVs). As a result, the collaborative …

Path planning is a key technology in underwater glider navigation system, however, due to
the complex and time variant ocean environment, the development of underwater path …

In this article, we propose a deep reinforcement learning (DRL) algorithm as well as a novel
tailored neural network architecture for mobile robots to learn navigation policies …

Real-time path planning is crucial for intelligent vehicles to achieve autonomous navigation.
In this paper, we propose a novel deep neural network (DNN) based method for real-time …