Continuous Curvature Path Planning for Headland Coverage With Agricultural Robots

ABSTRACT We introduce a methodology for headland coverage planning for autonomous agricultural robot systems, which is a complex problem often overlooked in agricultural robotics. At the corners of the headlands, a robot faces the risk to cross the border of a field while turning. Though potentially dangerous, current papers about corner turns in headlands do not tackle this issue. Moreover, they produce paths with curvature discontinuities, which are not feasible by non‐holonomic robots. This paper presents an approach to strictly adhere to field borders during the headland coverage, and three types of continuous curvature turn planners for convex and concave corners. The turning planners are evaluated in terms of path length and uncovered area to assess their effectiveness in headland corner navigation. Through empirical validation, including extensive tests on a coverage path planning benchmark as well as real‐field experiments with an autonomous robot, the proposed approach demonstrates its practical applicability and effectiveness. In simulations, the mean coverage area of the fields went from 94.73%, using a constant offset around the field, to 97.29% using the proposed approach. Besides providing a solution to the coverage of headlands in agricultural automation, this paper also extends the covered area on the mainland, thus increasing the overall productivity of the field.

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Publication Details

Journal
Journal of Field Robotics
Published
2024-12-10
DOI
https://doi.org/10.1002/rob.22489
Citations
5
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.25

Funders

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article

Continuous Curvature Path Planning for Headland Coverage With Agricultural Robots

Sytze de Bruin, Gonzalo Mier, João Valente, Rick Fennema
5 citations
Journal of Field Robotics
Robotic Path Planning Algorithms
1.25
article

Continuous Curvature Path Planning for Headland Coverage With Agricultural Robots

Sytze de Bruin, Gonzalo Mier, João Valente, Rick Fennema
article en
5 citations

Abstract

ABSTRACT We introduce a methodology for headland coverage planning for autonomous agricultural robot systems, which is a complex problem often overlooked in agricultural robotics. At the corners of the headlands, a robot faces the risk to cross the border of a field while turning. Though potentially dangerous, current papers about corner turns in headlands do not tackle this issue. Moreover, they produce paths with curvature discontinuities, which are not feasible by non‐holonomic robots. This paper presents an approach to strictly adhere to field borders during the headland coverage, and three types of continuous curvature turn planners for convex and concave corners. The turning planners are evaluated in terms of path length and uncovered area to assess their effectiveness in headland corner navigation. Through empirical validation, including extensive tests on a coverage path planning benchmark as well as real‐field experiments with an autonomous robot, the proposed approach demonstrates its practical applicability and effectiveness. In simulations, the mean coverage area of the fields went from 94.73%, using a constant offset around the field, to 97.29% using the proposed approach. Besides providing a solution to the coverage of headlands in agricultural automation, this paper also extends the covered area on the mainland, thus increasing the overall productivity of the field.

Journal of Field RoboticsVol. 42(3)
Consejo Superior de Investigaciones Científicas (ES), Centre for Automation and Robotics (ES), Wageningen University & Research (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Zero hunger
Openalex Percentile: Top 18%
Robotic Path Planning Algorithms
1.25
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