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Agricultural service unit motion planning under harvesting scheduling and terrain constraints

Auat Cheein, Fernando ; Torres‐Torriti, Miguel ; Hopfenblatt, Nicolás Busch ; Prado, Álvaro Javier ; Calabi, Daniel

Journal of field robotics, 2017-12, Vol.34 (8), p.1531-1542 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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  • Título:
    Agricultural service unit motion planning under harvesting scheduling and terrain constraints
  • Autor: Auat Cheein, Fernando ; Torres‐Torriti, Miguel ; Hopfenblatt, Nicolás Busch ; Prado, Álvaro Javier ; Calabi, Daniel
  • Assuntos: Agricultural management ; Agricultural production ; agriculture ; Energy conservation ; Energy consumption ; Energy management ; Harvest ; Harvesting ; Machinery and equipment ; Motion planning ; Planning ; Queues ; Scheduling ; Strategy ; Terrain ; wheeled robots
  • É parte de: Journal of field robotics, 2017-12, Vol.34 (8), p.1531-1542
  • Notas: This manuscript was originally submitted for the special issue on the Agricultural Robotics.
  • Descrição: Most of the existing harvesting strategies rely on traditional path planners that only minimize the length of the path or energy consumption, ignoring the state of the crops and production process. Furthermore, the existing approaches use simplified kinematic models that neglect the robots' dynamics and their interaction with the terrain. To address these limitations, we propose and test in the field a harvesting and motion‐planning strategy that explicitly considers the expected plant yield and the terrain's traversability. The latter has direct impact in the energy management of the agricultural service unit. A map with the predicted yield of each plant is employed to determine a priority queue of harvesting points. The priority queue, together with the harvesting rate and the robot's payload capacity, are used to generate a harvesting schedule for the different locations in the grove. The joint harvesting and motion‐planning strategy applied is evaluated using field data from a Chilean avocado grove during the harvesting season. The results show that the proposed strategy provides a useful approach to automate the harvest points scheduling and motion planning while saving machinery resources.
  • Editor: Hoboken: Wiley Subscription Services, Inc
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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