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Development of an environment characterization methodology for optimal design of an agricultural robot (Abstract)
Year:
2016
Source of publication :
Emerald insight journals
Authors :
Bechar, Avital
;
.
Volume :
Co-Authors:

 

Victor Bloch (Department of Water and Agricultural Engineering, Technion Israel Institute of Technology, Faculty of Civil and Environmental Engineering, Haifa, Israel and Agricultural Research Organisation, Bet Dagan, Israel)

Amir Degani , (Department of Water and Agricultural Engineering, Technion Israel Institute of Technology Faculty of Civil and Environmental Engineering, Haifa, Israel)

 

Facilitators :
From page:
0
To page:
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Total pages:
1
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Abstract:

The purpose of this paper is to describe a methodology for characterization of the robot environment to help solve such problem as designing an optimal agricultural robot for a specific agricultural task.

Design/methodology/approach

Defining and characterizing a task is a crucial step in the optimization of a task-specific robot. It is especially difficult in the agricultural domain because of the complexity and unstructured nature of the environment. In this research, trees are modeled from orchards and are used as the robot working environment, the geometrical features of an agricultural task are investigated and a method for designing an optimal agricultural robot is developed. Using this method, a simplified characteristic environment, representing the actual environment, is developed and used.

Findings

Case studies showing that the optimal robot, which is designed based on the characteristic environment, is similar to the optimal robot, which is designed based on the actual environment (less than 4 per cent error), is presented, while the optimization run time is significantly shorter (up to 22 times) when using the characteristic environment.

Originality/value

This paper proposes a new concept for solving the robot task-based optimization by the analysis of the task environment and characterizing it by a simpler artificial task environment. The methodology decreases the time of the optimal robot design, allowing to take into account more details in an acceptable time.

 

Note:
Related Files :
Agriculture
Field robotics
Robot design
Robot task characterization
Show More
Related Content
More details
DOI :
Article number:
0
Affiliations:
Database:
Google Scholar
Publication Type:
Abstract
;
.
Language:
English
Editors' remarks:
ID:
37285
Last updated date:
02/03/2022 17:27
Creation date:
17/09/2018 13:05
Scientific Publication
Development of an environment characterization methodology for optimal design of an agricultural robot (Abstract)

 

Victor Bloch (Department of Water and Agricultural Engineering, Technion Israel Institute of Technology, Faculty of Civil and Environmental Engineering, Haifa, Israel and Agricultural Research Organisation, Bet Dagan, Israel)

Amir Degani , (Department of Water and Agricultural Engineering, Technion Israel Institute of Technology Faculty of Civil and Environmental Engineering, Haifa, Israel)

 

Development of an environment characterization methodology for optimal design of an agricultural robot .

The purpose of this paper is to describe a methodology for characterization of the robot environment to help solve such problem as designing an optimal agricultural robot for a specific agricultural task.

Design/methodology/approach

Defining and characterizing a task is a crucial step in the optimization of a task-specific robot. It is especially difficult in the agricultural domain because of the complexity and unstructured nature of the environment. In this research, trees are modeled from orchards and are used as the robot working environment, the geometrical features of an agricultural task are investigated and a method for designing an optimal agricultural robot is developed. Using this method, a simplified characteristic environment, representing the actual environment, is developed and used.

Findings

Case studies showing that the optimal robot, which is designed based on the characteristic environment, is similar to the optimal robot, which is designed based on the actual environment (less than 4 per cent error), is presented, while the optimization run time is significantly shorter (up to 22 times) when using the characteristic environment.

Originality/value

This paper proposes a new concept for solving the robot task-based optimization by the analysis of the task environment and characterizing it by a simpler artificial task environment. The methodology decreases the time of the optimal robot design, allowing to take into account more details in an acceptable time.

 

Scientific Publication
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