Szczegóły publikacji

Opis bibliograficzny

A novel software architecture of anticipatory harvesting robot teams / Andrzej M. J. SKULIMOWSKI, Przemysław PUKOCZ, Inez BADECKA, Mehmet KARA // W: MMAR 2021 [Dokument elektroniczny] : 2021 25th international conference on Methods and Models in Automation & Robotics : August 23–26, 2021, Międzyzdroje, Poland. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2021. — e-ISBN: 978-1-7281-7380-1. — S. 47–52. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 51–52, Abstr. — Toż. na Dysku Flash. — e-ISBN: 978-1-7281-7379-5. — A. M. J. Skulimowski, P. Pukocz, I. Badecka - dod. afiliacja: Progess & Business Foundation, Kraków

Autorzy (4)

Słowa kluczowe

multi-criteria optimizationanticipatory networkscoordination of robot teamsharvesting robots

Dane bibliometryczne

ID BaDAP135660
Data dodania do BaDAP2021-09-13
Tekst źródłowyURL
DOI10.1109/MMAR49549.2021.9528474
Rok publikacji2021
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaInstitute of Electrical and Electronics Engineers (IEEE)

Abstract

This paper presents a novel application of anticipatory coordination and optimization principles, previo-usly developed for autonomous inspection robot teams. The core tenet behind our research is to build a team of agile and relatively small robots, each equipped with two synergistically operating robotic arms, one arm with a soft gripper, the other arm with a set of cameras and a fruit cutting mechanism, all controlled by innovative anticipatory network (AN) algo-rithms. This allows the plantation management to efficiently supervise the team, coordinated and optimized by an adaptive anticipatory decision engine. Another key component of the robotic software architecture that allows the team of robots to efficiently harvest soft fruits such as strawberries or raspber-ries is a package of information fusion algorithms in the world model, associated with a knowledge base and a digital twin of the cover crops. We will show that AN coordination principles ensure the reliable operation of robots in case of communica-tion disturbances or when uncertain or incomplete instructions are entered by the operator in the management and supervision system. The flexible design of the overall robotic architecture will make it possible to further develop the robot teams to respond to additional needs such as harvesting other fruits and working in various horticultural environments.

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