Design optimization and trajectory planning of a strawberry harvesting manipulator

This paper presents a systematic approach to optimizing the structural parameters of a 4-degree-of-freedom (DoF) strawberry harvesting manipulator to minimize its workspace. Unlike previous research that primarily concentrated on the spatial needs related to fruit distribution areas, this work addresses the spatial dynamics of different stages of the fruit-picking process. This is achieved by combining the workspace model method, mathematical modeling, and the GlobalSearch algorithm in the optimization process. A comprehensive verification was conducted using the Denavit-Hartenberg method to simulate the workspace of the optimal manipulator structure. This ensured that the manipulator effectively covered the entire harvesting space. The research design involves exploring an optimal trajectory planning method by adopting a modified sine jerk profile that minimizes overall trajectory duration while maintaining good smoothness. The effectiveness of this method is demonstrated through a simulation of the trajectory of the four joints to drive the end effector from the initial position to the position of the strawberry. This approach yields execution times up to 27% shorter than in previous studies. The proposed method is useful for optimizing the physical and trajectory design of the harvesting manipulator that operates in confined and restricted environments to enhance efficiency, adaptability, and safety in harvesting operations.

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Publication Details

Journal
Bulletin of Electrical Engineering and Informatics
Published
2024-09-20
DOI
https://doi.org/10.11591/eei.v13i6.7957
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20

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article

Design optimization and trajectory planning of a strawberry harvesting manipulator

Naoufal Raissouni, Abdelilah Azyat, Asaad Chahboun, Nizar Ben Achhab et al.
2 citations
Bulletin of Electrical Engineering and Informatics
Smart Agriculture and AI
1.20
article

Design optimization and trajectory planning of a strawberry harvesting manipulator

Naoufal Raissouni, Abdelilah Azyat, Asaad Chahboun, Nizar Ben Achhab, Hatim Idriss Jaafari, Inas Saoud
article en
2 citations

Abstract

This paper presents a systematic approach to optimizing the structural parameters of a 4-degree-of-freedom (DoF) strawberry harvesting manipulator to minimize its workspace. Unlike previous research that primarily concentrated on the spatial needs related to fruit distribution areas, this work addresses the spatial dynamics of different stages of the fruit-picking process. This is achieved by combining the workspace model method, mathematical modeling, and the GlobalSearch algorithm in the optimization process. A comprehensive verification was conducted using the Denavit-Hartenberg method to simulate the workspace of the optimal manipulator structure. This ensured that the manipulator effectively covered the entire harvesting space. The research design involves exploring an optimal trajectory planning method by adopting a modified sine jerk profile that minimizes overall trajectory duration while maintaining good smoothness. The effectiveness of this method is demonstrated through a simulation of the trajectory of the four joints to drive the end effector from the initial position to the position of the strawberry. This approach yields execution times up to 27% shorter than in previous studies. The proposed method is useful for optimizing the physical and trajectory design of the harvesting manipulator that operates in confined and restricted environments to enhance efficiency, adaptability, and safety in harvesting operations.

Bulletin of Electrical Engineering and InformaticsVol. 13(6)
Abdelmalek Essaâdi University (MA)
Centre National pour la Recherche Scientifique et Technique
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Smart Agriculture and AI
1.20
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Design optimization and trajectory planning of a strawberry harvesting manipulator — Naoufal Raissouni, Abdelilah Azyat, et al. · Bulletin of Electrical Engineering and Informatics (2024) | TGRS Research Map | TGRS