Mobile manipulators have recently been subject to studies and researches thanks to their augmented mobility and interaction capability. In the precision agriculture field, the development and implementation of such systems can be advantageous in every aspect of the farm activities, e.g. harvesting, pruning, or trimming. This paper presents the implementation of a 7 degree of freedom manipulator upon a mobile rover prototype, designed for precision agriculture, in order to perform grape sampling tasks. While the redundancy of the arm is used to perform off-line collision avoidance with the environment and the mobile base itself, thanks to sampling based path planning methods, a closed form inverse kinematics solution allows to select the posture which maximizes the manipulability index of the manipulator. To do so, base mobility is used to reach the target and properly position the arm. The overall architecture was implemented on the real system and successfully validated through experimental tests.

Optimal Positioning of Mobile Manipulators Using Closed Form Inverse Kinematics / Colucci, Giovanni; Baglieri, Lorenzo; Botta, Andrea; Cavallone, Paride; Quaglia, Giuseppe. - STAMPA. - 120:(2022), pp. 184-191. (Intervento presentato al convegno 31st International Conference on Robotics in Alpe-Adria-Danube Region 2022 tenutosi a Klagenfurt am Wörthersee (AT) nel June 8ꟷ10, 2022) [10.1007/978-3-031-04870-8_22].

Optimal Positioning of Mobile Manipulators Using Closed Form Inverse Kinematics

Colucci, Giovanni;Baglieri, Lorenzo;Botta, Andrea;Cavallone, Paride;Quaglia, Giuseppe
2022

Abstract

Mobile manipulators have recently been subject to studies and researches thanks to their augmented mobility and interaction capability. In the precision agriculture field, the development and implementation of such systems can be advantageous in every aspect of the farm activities, e.g. harvesting, pruning, or trimming. This paper presents the implementation of a 7 degree of freedom manipulator upon a mobile rover prototype, designed for precision agriculture, in order to perform grape sampling tasks. While the redundancy of the arm is used to perform off-line collision avoidance with the environment and the mobile base itself, thanks to sampling based path planning methods, a closed form inverse kinematics solution allows to select the posture which maximizes the manipulability index of the manipulator. To do so, base mobility is used to reach the target and properly position the arm. The overall architecture was implemented on the real system and successfully validated through experimental tests.
2022
978-3-031-04869-2
978-3-031-04870-8
File in questo prodotto:
File Dimensione Formato  
pxxx40_RAAD2022_MobilitaKinovaAgriQ.pdf

Open Access dal 24/04/2023

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 9.84 MB
Formato Adobe PDF
9.84 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2962327