DGA-ACO: Enhanced Dynamic Genetic Algorithm—Ant Colony Optimization Path Planning for Agribots

DGA-ACO: Enhanced Dynamic Genetic Algorithm—Ant Colony Optimization Path Planning for Agribots

Recent advancements in agricultural mobile robots (agribots) have enabled the execution of critical tasks such as crop inspection, precision spraying, and selective harvesting. While agribots show significant potential, conventional path-planning algorithms suffer from three limitations: (1) inadequ...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhenpeng Zhang, Pengyu Li, Shanglei Chai, Yukang Cui, Yibin Tian
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agriculture
Subjects:
agricultural robots
safety compliance
path planning
obstacle avoidance
genetic algorithm (GA)
ant colony optimization (ACO)
Online Access:https://www.mdpi.com/2077-0472/15/12/1321
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items