Optimal Path Planning Method for a Bush Trimming Robot With a Non-Omnidirectional End-Effector

Nowadays, the operation of trimming artistic bushes is generally performed by skilled human operators without any technological support. This entails that such an operation is characterized by a variability in terms of quality and that it can be performed only with adequate weather conditions. This work addresses the problem of developing a robotized pruning workstation to accurately trim an artistic bush by kinematically modelling the cutting operation, deriving and proving the kinematic constraints which ensure a good quality of the cutting operation, and adapting and improving a state of the art coverage path planning algorithm. Such approach has been validated both numerically and experimentally, showing a consistent improvement with respect to the state of the art algorithms.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-12-16
DOI
https://doi.org/10.1109/lra.2024.3518232
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
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article

Optimal Path Planning Method for a Bush Trimming Robot With a Non-Omnidirectional End-Effector

Giovanni Carabin, Matteo Manzardo, Renato Vidoni
IEEE Robotics and Automation Letters
Control and Dynamics of Mobile Robots
article

Optimal Path Planning Method for a Bush Trimming Robot With a Non-Omnidirectional End-Effector

Giovanni Carabin, Matteo Manzardo, Renato Vidoni
article en

Abstract

Nowadays, the operation of trimming artistic bushes is generally performed by skilled human operators without any technological support. This entails that such an operation is characterized by a variability in terms of quality and that it can be performed only with adequate weather conditions. This work addresses the problem of developing a robotized pruning workstation to accurately trim an artistic bush by kinematically modelling the cutting operation, deriving and proving the kinematic constraints which ensure a good quality of the cutting operation, and adapting and improving a state of the art coverage path planning algorithm. Such approach has been validated both numerically and experimentally, showing a consistent improvement with respect to the state of the art algorithms.

IEEE Robotics and Automation LettersVol. 10(2)
Free University of Bozen-Bolzano (IT)
Sustainable cities and communities
Openalex Percentile: Top 72%
Control and Dynamics of Mobile Robots
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Optimal Path Planning Method for a Bush Trimming Robot With a Non-Omnidirectional End-Effector — Giovanni Carabin, Matteo Manzardo, et al. · IEEE Robotics and Automation Letters (2024) | TGRS Research Map | TGRS