On Autonomous Robotic Cooperation Capabilities within Factory and Logistic Scenarios

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On Autonomous Robotic Cooperation Capabilities within Factory and Logistic Scenarios

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Casalino, G. / Simetti, E. / Wanderlingh, F. / Darvish, K. / Bruno, B. / Mastrogiovanni, F.

The paper presents the development of a unified functional, algorithmic and Software (Sw) architecture, which can be adopted as a standard for controlling, at action level only, any robotic structure within a given wide class of them; even of reconfigurable type within the class. Such control architecture is therefore deemed very suitable for operating within factory and/or logistic, possibly reconfigurable, scenarios. Moreover, for the few cases of cooperative activities to be established between agents not allowed to be cable connected, an effective coordination policy, based on the exchange of a reduced information set, only regarding the cooperation goals, is developed; and relevant simulative and experimental trials are briefly outlined. Moreover, the advantage of having, in whatever operative condition, the possibility of commanding the involved structures only in terms of the ultimate goals of each action, also seems to be the right basis for having non-negligible improvements within their integration with automated action planning, and even learning, techniques.

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Dokumentinformationen

Titel :

On Autonomous Robotic Cooperation Capabilities within Factory and Logistic Scenarios

Beteiligte:

Casalino, G. (Autor:in) / Simetti, E. (Autor:in) / Wanderlingh, F. (Autor:in) / Darvish, K. (Autor:in) / Bruno, B. (Autor:in) / Mastrogiovanni, F. (Autor:in) / Casalino, G. / Simetti, E. / Wanderlingh, F. / Darvish, K.

Erscheinungsdatum :

2017-01-01

DOI :

https://doi.org/10.1016/j.promfg.2017.07.219

Medientyp :

Aufsatz (Zeitschrift)

Format :

Elektronische Ressource

Sprache :

Englisch

Schlagwörter :

Action based control architecture , bi-manual manipulation , Vehicle manipulator system , Cooperarating robot , Cooperative manipulation and transportation , Reconfigurable robotic systerm , Industrial and Manufacturing Engineering , Artificial Intelligence