Fast Path Planning for On-Water Automatic Rescue Intelligent Robot Based on Constant Thrust Artificial Fluid Method

Joint Authors

Ke, Yi
Qi, Yongqiang

Source

Scientific Programming

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-10-21

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Mathematics

Abstract EN

In this paper, fast path planning of on-water automatic rescue intelligent robot is studied based on the constant thrust artificial fluid method.

First, a three-dimensional environment model is established, and then the kinematics equation of the robot is given.

The constant thrust artificial fluid method based on the isochronous interpolation method is proposed, and a novel algorithm of constant thrust fitting is researched through the impulse compensation.

The effect of obstacles on original fluid field is quantified by the perturbation matrix, and the streamlines can be regarded as the planned path.

Simulation results demonstrate the effectiveness of this method by comparing with A-star algorithm and ant colony algorithm.

It is proved that the planned path can avoid all obstacles smoothly and swiftly and reach the destination eventually.

American Psychological Association (APA)

Qi, Yongqiang& Ke, Yi. 2020. Fast Path Planning for On-Water Automatic Rescue Intelligent Robot Based on Constant Thrust Artificial Fluid Method. Scientific Programming،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209157

Modern Language Association (MLA)

Qi, Yongqiang& Ke, Yi. Fast Path Planning for On-Water Automatic Rescue Intelligent Robot Based on Constant Thrust Artificial Fluid Method. Scientific Programming No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1209157

American Medical Association (AMA)

Qi, Yongqiang& Ke, Yi. Fast Path Planning for On-Water Automatic Rescue Intelligent Robot Based on Constant Thrust Artificial Fluid Method. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1209157

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1209157