Dealing with the unpredictable: An Evolvable Robotic Assembly Cell

Onori, Mauro; Neves, Pedro; Akillioglu, Hakan; Maffei, Antonio; Hofmann, Andreas; Siltala, Niko

doi:10.1007/978-3-642-23860-4_26

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…However, evolution is the result of a matching process between the available solutions and the functional requirements imposed by nature. Hence, evolution is closer to a refining process in relation to the current conditions, rather than an optimization process per se [20]. While optimization tends to close possibilities to rapid change, due to excessive specialization towards given conditions, refining in relation to given conditions leaves the opportunity to change open.…”

Section: A Evolutionary Systemsmentioning

confidence: 97%

Bio-inspired self-organised mechatronic-agent interactions to support product emergence

Ferreira¹,

Ribeiro

Onori³

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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The emergence of modern manufacturing paradigms together with the growing interest on distributed architectures has been increasing the use of biologically inspired solutions. However, somehow along the way, developed approaches have converged towards more traditional systems where the physical and logical decoupled nature of the system has been partially lost.In this context, the presented work aims to introduce and analyse a new fully physically and logically decoupled bioinspired self-organising approach that tries to bring to the mechatronic-agent based manufacturing architectures the dynamics of biological systems. Furthermore, the manufacturing systems are approached from a bottom-up perspective in an attempt to reduce the specification of the production processes to the minimum.

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Section: A Evolutionary Systemsmentioning

confidence: 97%

Bio-inspired self-organised mechatronic-agent interactions to support product emergence

Ferreira¹,

Ribeiro

Onori³

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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“…It offers a novel approach to deploy assembly systems in EPS, linking assembly processes to product design features by addressing the data requirements. Like other efforts, EPSs try to respond to the necessity of increasing trend of producing smaller batch sizes and tight production schedules, by offering a robust process plan that can provide solutions based on the available resources (Akillioglu and Onori, 2011; Chen et al , 2015; Onori et al , 2011; Onori and Barata, 2010). To be effective, agile knowledge transmission among product design and process planning in EPS definition levels of self-re-configurability and self-adapting is always economically and ecologically desirable (Maffei et al , 2009; Neves and Barata, 2009).…”

Section: Introductionmentioning

confidence: 99%

Object-oriented design of product assembly feature data requirements in advanced assembly planning

Khabbazi

Wikander

Onori

et al. 2018

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Purpose This paper introduces a schema for the product assembly feature data in an object-oriented and module-based format using Unified Modeling Language (UML). To link production with product design, it is essential to determine at an early stage which entities of product design and development are involved and used at the automated assembly planning and operations. To this end, it is absolutely reasonable to assign meaningful attributes to the parts’ design entities (assembly features) in a systematic and structured way. As such, this approach empowers processes such as motion planning and sequence planning in assembly design. Design/methodology/approach The assembly feature data requirements are studied and definitions are analyzed and redefined. Using object-oriented techniques, the assembly feature data structure and relationships are modeled based on the identified requirements as five UML packages (Part, three-dimensional (3D) models, Mating, Joint and Handling). All geometric and non-geometric design data entities endorsed with assembly design perspective are extracted or assigned from 3D models and realized through the featured entity interface class. The featured entities are then associated (used) with the mating, handling and joints features. The AssemblyFeature interface is realized through mating, handling and joint packages related to the assembly and part classes. Each package contains all relevant classes which further classify the important attributes of the main class. Findings This paper sets out to provide an explanatory approach using object-oriented techniques to model the schema of assembly features association and artifacts at the product design level, all of which are essential in several subsequent and parallel steps of the assembly planning process, as well as assembly feature entity assignments in design improvement cycle. Practical implications The practical implication based on the identified advantages can be classified in three main features: module-based design, comprehensive classification, integration. These features help the automation and solution development processes based on the proposed models much easier and systematic. Originality/value The proposed schema’s comprehensiveness and reliability are verified through comparisons with other works and the advantages are discussed in detail.

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“…EAS aims to cope with unpredictable and changing production requirements by building evolvable capabilities into the production system. As stated by Onori et al [4], [5], [6] evolvability is not only the ability of system components to adapt to changing requirements, but also a characteristic, which assists the processes in becoming more self-x, which can stand for self-evolvable, self-reconfigurable, selftuning, self-diagnosing and so on.…”

Section: Introductionmentioning

confidence: 99%

Assembly Features Utilization to Support Production System Adaptation

Hasan

Onori

Wikander

2014

Technological Innovation for Collective Awareness Systems

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The purpose of this paper is to introduce a proposed methodology to extend the evolvable assembly system (EAS) paradigm for product design by utilizing assembly features in a product. In this paper, assembly features are used to bridge the gap between product design and assembly process by matching features of a part in an assembly to operations of a process in the EAS ontology. This can be achieved by defining and extracting a new set of assembly features called process features, which are features significant to specific and well-defined assembly operations. The extracted assembly features are represented in a proposed model based on product topology. A case-study example is conducted to illustrate the new methodology. A process-feature ontology is proposed as well in order to match the assembly requirements represented by process features with the available processes and skills in the EAS ontology so that adaptation of the production system can be achieved.

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Dealing with the unpredictable: An Evolvable Robotic Assembly Cell

Cited by 5 publications

References 10 publications

Bio-inspired self-organised mechatronic-agent interactions to support product emergence

Bio-inspired self-organised mechatronic-agent interactions to support product emergence

Object-oriented design of product assembly feature data requirements in advanced assembly planning

Assembly Features Utilization to Support Production System Adaptation

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