The involvement of Meta-heuristic algorithms in robot motion planning has attracted the
attention of researchers in the robotics community due to the simplicity of the approaches …

Underwater robot positioning and navigation achieve autonomous underwater robot
movement based on the premise that positioning obtains the coordinates of the relative …

This paper proposes a two-layer path-planning method, where an optimized artificial
potential field (APF) method and an improved dynamic window approach (DWA) are used at …

Mobile robots have been making a significant contribution to the advancement of many
sectors including automation of mining, space, surveillance, military, health, agriculture and …

This article proposes, a novel obstacle avoidance algorithm for a mobile robot based on
finite memory filtering (FMF) in unknown dynamic environments. To overcome the limitations …

Intelligent mobilebot (mobile robot) is a kind of robot system that can perceive the
environment and its own state through sensors, realize target-oriented autonomous …

Artificial potential field has long been proposed in the field of robot path planning. But the
well-known drawbacks like local minimal problem and low efficiency prevent its wide …

Autonomous mobile robot path planning in unknown and dynamic environment is a crucial
task for successful mobile robot navigation. This study proposes an improved Q-learning …

In the unstructured family environment, robots are expected to provide various services to
improve the quality of human life, based on the performance of specific action sequences …

Effectively improving the optimization performance of artificial electric field algorithm (AEFA)
and broadening its application domain can aid in providing robot path planning in 3-D …