A multi-objective path optimization method for plant protection robots based on improved A*-IWOA

This algorithm offers significant advantages in terms of computational accuracy, convergence speed, and efficiency. Moreover, the resulting paths satisfy the stringent energy consumption and path planning requirements of robots in unstructured mountain terrain. This improved algorithm could also be replicated and applied to other fields, such as picking robots, factory inspection robots, and complex industrial environments, where robust and efficient path planning is required.

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Publication Details

Journal
PeerJ Computer Science
Published
2024-12-20
DOI
https://doi.org/10.7717/peerj-cs.2620
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.50
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article

A multi-objective path optimization method for plant protection robots based on improved A*-IWOA

Lipeng Zhang, Ma Haohao, Chuanyan Shen, Qijun Li et al.
2 citations
PeerJ Computer Science
Robotic Path Planning Algorithms
0.50
article

A multi-objective path optimization method for plant protection robots based on improved A*-IWOA

Lipeng Zhang, Ma Haohao, Chuanyan Shen, Qijun Li, Jing Niu
article en
2 citations

Abstract

This algorithm offers significant advantages in terms of computational accuracy, convergence speed, and efficiency. Moreover, the resulting paths satisfy the stringent energy consumption and path planning requirements of robots in unstructured mountain terrain. This improved algorithm could also be replicated and applied to other fields, such as picking robots, factory inspection robots, and complex industrial environments, where robust and efficient path planning is required.

PeerJ Computer ScienceVol. 10
Universiti Putra Malaysia (MY), Yanshan University (CN), Tianshui Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 33%
Robotic Path Planning Algorithms
0.50
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A multi-objective path optimization method for plant protection robots based on improved A*-IWOA — Lipeng Zhang, Ma Haohao, et al. · PeerJ Computer Science (2024) | TGRS Research Map | TGRS