This paper studies the evolutionary planning strategies for mobile robots to move smoothly along efficient collision-free paths in known static environments ...

Abstract—This paper studies the evolutionary planning strategies for mobile robots to move smoothly along efficient collision-free paths in known static ...

A comparative study of smooth path planning for a mobile robot by evolutionary multi-objective optimization. Authors: Hung, Kao-Ting · Liu, Jing-Sin · Chang, YZ.

This paper studies the evolutionary planning strategies for mobile robots to move smoothly along efficient collision-free paths in known static environments ...

Aiming to the drawback of evolution algorithm, we propose a novel mobile robot path planning approach of immune evolutionary algorithm in irregular environment.

A comparative study of smooth path planning for a mobile robot by evolutionary multi-objective optimization · Kao-Ting HungJing-Sin LiuYau-Zen Chang. Computer ...

This study is focused on providing a comparison between conventional motion planning approaches such as Potential Field (PF), Dijkstra's Algorithm (DA), Rapidly ...

Aug 19, 2022 · The proposed algorithm is used for the path planning of autonomous mobile robots in both static and dynamic environments.

In this study, a smooth path planning approach is proposed and compared to path smoothing for an autonomous mobile robot. Classical start-goal oriented path ...

An improved path planning for mobile robots is proposed based on the hybrid multi-objective bare-bones particle swarm optimization with differential ...