A Multi-Objective Particle Swarm Optimization for Trajectory Planning of Fruit Picking Manipulator
Stable, efficient and lossless fruit picking has always been a difficult problem, perplexing the development of fruit automatic picking technology. In order to effectively solve this technical problem, this paper establishes a multi-objective trajectory model of the manipulator and proposes an impro...
Guardado en:
Autores principales: | Xiaoman Cao, Hansheng Yan, Zhengyan Huang, Si Ai, Yongjun Xu, Renxuan Fu, Xiangjun Zou |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/539539287c9341dc940a869563ddd74e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Multi-Objective UAV Trajectory Planning in Uncertain Environment
por: Aoyu Zheng, et al.
Publicado: (2021) -
Trajectory optimization of an innovative-turbofan-powered aircraft based on particle swarm approach for low environmental impact
por: Ramón Fernando Colmenares-Quintero, et al.
Publicado: (2019) -
Particle swarm optimization for inverse kinematics solution and trajectory planning of 7-DOF and 8-DOF robot manipulators based on unit quaternion representation
por: Abdor-Sierra Javier Alexis, et al.
Publicado: (2021) -
Feasible Optimal Solutions of Electromagnetic Cloaking Problems by Chaotic Accelerated Particle Swarm Optimization
por: Alkmini Michaloglou, et al.
Publicado: (2021) -
Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption
por: Wen-Shing Lee, et al.
Publicado: (2021)