Unmanned maritime systems are evolving in a rapidly changing environment. Although the
regulation and international law processes are still in progress, there are numerous …

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 trap** in local …

Recent advances in technology lead to the use of robotic systems as part of the modern
working environment. Single and multiple robotic systems work closely with humans to …

Unmanned aerial vehicles (UAVs) have recently attracted the attention of researchers due to
their numerous potential civilian applications. However, current robot navigation …

This study proposes an algorithm for combining the Jacobian-based numerical approach
with a modified potential field to solve real-time inverse kinematics and path planning …

Autonomous mobile robot path planning is considered as a complex task in unknown, highly
uncertain and dynamic environments. The presence of diverse and uncertain objects …

This paper presents a novel motion planner for redundant robotic manipulators by utilizing
rapidly exploring randomized trees and artificial potential fields. Rapidly exploring …

The ability of autonomous undersea vehicles (AUVs) to plan paths in unknown marine
environments is the precondition for executing complicated missions. However, existing path …

This study develops a novel image-based control scheme to address the on-orbit service
mission that multiple spacecraft track a tumbling uncooperative target under a visibility …

Purpose–The purpose of this paper is to focus on the local minima issue encountered in
motion planning by the artificial potential field (APF) method, investigate the currently …