Goal-Oriented Process Plans in a Multiagent System for Plug & Produce
Artikel i vetenskaplig tidskrift, 2021

This article presents a framework for Plug & Produce that makes it possible to use configurations rather than programming to adapt a manufacturing system for new resources and parts. This is solved by defining skills on resources, and goals for parts. To reach these goals, process plans are defined with a sequence of skills to be utilized without specifying specific resources. This makes it possible to separate the physical world from the process plans. When a process plan requires a skill, e.g., grip with a gripper resource, then that skill may require further skills, e.g., move with a robot resource. This creates a tree of connected resources that are not defined in the process plan. Physical and logical compatibility between resources in this tree is checked by comparing several parameters defined on the resources and the part. This article presents an algorithm together with a multiagent system framework that handles the search and matching required for selecting the correct resources.

Plug & Produce

robotics

Multiagent

process plan

Författare

Mattias Bennulf

Högskolan Väst

Fredrik Danielsson

Högskolan Väst

Bo Svensson

Högskolan Väst

Bengt Lennartson

Chalmers, Elektroteknik, System- och reglerteknik

IEEE Transactions on Industrial Informatics

1551-3203 (ISSN)

Vol. 17 4 2411-2421

Ämneskategorier

Programvaruteknik

Robotteknik och automation

Datavetenskap (datalogi)

DOI

10.1109/TII.2020.2994032

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Senast uppdaterat

2021-03-05