A Vertical and Cyber–Physical Integration of Cognitive Robots in Manufacturing

Krüger, Volker; Chazoule, Arnaud; Crosby, Matthew; Lasnier, Antoine; Pedersen, Mikkel Rath; Rovida, Francesco; Nalpantidis, Lazaros; Petrick, Ronald P. A.; Toscano, César; Veiga, Germano

doi:10.1109/jproc.2016.2521731

Cited by 44 publications

(31 citation statements)

References 7 publications

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“…There are already robotic applications that have adopted SoA approaches (Chen, Du, and García-Acosta 2010;Kouba 2014). However, only limited of the existing implementations address the material supply operations coordination on industrial environment issue such as Krueger et al (2016).…”

Section: Autonomous Resources For Materials Supply Operations Executionmentioning

confidence: 99%

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Scheduling of smart intra – factory material supply operations using mobile robots

Kousi

Koukas

Michalos

et al. 2018

International Journal of Production Research

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This paper presents the design and prototype implementation of a service-based control system responsible for the material supply operations planning and coordination in assembly lines. The material supply processes are carried out by autonomous mobile units that are responsible for the transportation of the consumables from the warehouse to the production stations. The plan generation based on time and inventory level driven criteria is automatically carried out by a web-based software that can also distribute the derived plan to the autonomous mobile units. The proposed system was implemented on a case inspired by an actual production line from the automotive assembly sector. Discrete event simulation has been employed for the investigated production system, to derive the specifications for the mobile units (e.g. number of boxes that can carry simultaneously) that may serve the system efficiently. The results indicate that the proposed architecture integrated with the discussed mobile assistant units may provide high quality solutions with respect to the end user criteria.

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Section: Autonomous Resources For Materials Supply Operations Executionmentioning

confidence: 99%

“…This work adapts the modelling suggested by Chryssolouris (2006). Nevertheless, is generic enough to employ other formalisations as well such as the Missions/Skills representation (Krueger et al 2016). Respectively, the facilities have been modelled at a two-level breakdown.…”

Section: Decision-making Frameworkmentioning

confidence: 99%

Scheduling of smart intra – factory material supply operations using mobile robots

Kousi

Koukas

Michalos

et al. 2018

International Journal of Production Research

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“…Krueger et al [5] proposed a robotic system for automotive kitting within the STAMINA 3 project. The large mobile manipulation robot consists of an industrial manipulator mounted on a heavy automated guided vehicle (AGV) platform.…”

Section: Related Workmentioning

confidence: 99%

KittingBot: A Mobile Manipulation Robot for Collaborative Kitting in Automotive Logistics

Pavlichenko

García

Koo

et al. 2018

Intelligent Autonomous Systems 15

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Individualized manufacturing of cars requires kitting: the collection of individual sets of part variants for each car. This challenging logistic task is frequently performed manually by warehouseman. We propose a mobile manipulation robotic system for autonomous kitting, building on the Kuka Miiwa platform which consists of an omnidirectional base, a 7 DoF collaborative iiwa manipulator, cameras, and distance sensors. Software modules for detection and pose estimation of transport boxes, part segmentation in these containers, recognition of part variants, grasp generation, and arm trajectory optimization have been developed and integrated. Our system is designed for collaborative kitting, i.e. some parts are collected by warehouseman while other parts are picked by the robot. To address safe human-robot collaboration, fast arm trajectory replanning considering previously unforeseen obstacles is realized. The developed system was evaluated in the European Robotics Challenge 2, where the Miiwa robot demonstrated autonomous kitting, part variant recognition, and avoidance of unforeseen obstacles.

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“…For example, [12] presented a cognitive system applied to a concrete and well-known use case from the automotive industry, which is part of a research project called STAMINA. For fast deployment of robotic technologies the work of [13] proposes a "knowledge integration framework" which generates a generalized platform independent description of a manufacturing process.…”

Section: B Related Workmentioning

confidence: 99%

Robotic technologies for fast deployment of industrial robot systems

Dean-León

Ramirez-Amaro

Bergner

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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Abstract-The development of breakthrough technologies helps the deployment of robotic systems in the industry. The implementation and integration of such technologies will improve productivity, flexibility and competitiveness, in diverse industrial settings specially for small and medium enterprises. In this paper we present a framework that integrates three novel technologies, namely safe robot arms with multi-modal and auto-calibrated sensing skin, a robot control framework to generate dynamic behaviors fusing multiple sensor signals, and an intuitive and fast teaching by demonstration method that segments and recognizes the robot activities on-line based on re-usable semantic descriptions. In order to validate our framework, these technologies are integrated in a industrial setting to sort and pack fruits. We demonstrate that our presented framework enables a standard industrial robotic system to be flexible, modular and adaptable to different production requirements.

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A Vertical and Cyber–Physical Integration of Cognitive Robots in Manufacturing

Cited by 44 publications

References 7 publications

Scheduling of smart intra – factory material supply operations using mobile robots

Scheduling of smart intra – factory material supply operations using mobile robots

KittingBot: A Mobile Manipulation Robot for Collaborative Kitting in Automotive Logistics

Robotic technologies for fast deployment of industrial robot systems

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