A hybrid formation path planning based on A* and multi-target improved artificial potential field algorithm in the 2D random environments-Reference-Cited by-同舟云学术

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A hybrid formation path planning based on A* and multi-target improved artificial potential field algorithm in the 2D random environments

Published:2022-10 Issue: Volume:54 Page:101755
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Tong Xiaolong,Yu Shanen,Liu Guangyu,Niu Xiaodie,Xia Cunjun,Chen Jianke,Yang Zhe,Sun Yingyi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference34 articles.

1. A review: On path planning strategies for navigation of mobile robot;Patle;Defence Technol.,2019

2. Fixed-time formation of AUVs with disturbance via event-triggered control;Su;Int. J. Control Autom. Syst.,2021

3. Formation control with disturbance rejection for a class of Lipschitz nonlinear systems;Wang;Sci. China Inf. Sci.,2017

4. Control strategies for driving a group of nonholonomic kinematic mobile robots in formation along a time-parameterized path;Ailon;IEEE/ASME Trans. Mechatronics,2011

5. Experiments of formation control with multirobot systems using the null-space-based behavioral control;Antonelli;IEEE Trans. Control Syst. Technol.,2009

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