Automatic Configuration of Robot Systems - Upward and Downward Integration

Reinhart, Gunther; Hüttner, Stefan; Krug, Stefan

doi:10.1007/978-3-642-25486-4_11

Cited by 9 publications

(3 citation statements)

References 4 publications

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“…Shorter product lifecycles and the steadily rising demand for customization require more flexible and changeable production systems leading to the need for an automatic configuration (Plug & Produce) of robot systems [4]. Developing robots that can operate in dynamic and unstructured environments (i.e., bin-picking, household or everyday environments, professional services) is of great interest.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Learning-Based Robotic Grasping

et al. 2020

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Purpose of Review This review provides a comprehensive overview of machine learning approaches for vision-based robotic grasping and manipulation. Current trends and developments as well as various criteria for categorization of approaches are provided. Recent Findings Model-free approaches are attractive due to their generalization capabilities to novel objects, but are mostly limited to top-down grasps and do not allow a precise object placement which can limit their applicability. In contrast, model-based methods allow a precise placement and aim for an automatic configuration without any human intervention to enable a fast and easy deployment. Summary Both approaches to robotic grasping and manipulation with and without object-specific knowledge are discussed. Due to the large amount of data required to train AI-based approaches, simulations are an attractive choice for robot learning. This article also gives an overview of techniques and achievements in transfers from simulations to the real world.

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Section: Introductionmentioning

confidence: 99%

A Survey on Learning-Based Robotic Grasping

et al. 2020

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“…In the following chapter the possible information and approaches are analyzed and described. Figure 1 illustrates the according main steps [7].…”

Section: State Of the Artmentioning

confidence: 99%

Classification, Modelling and Mapping of Skills in Automated Production Systems

Backhaus

Ulrich

Reinhart

2014

Enabling Manufacturing Competitiveness and Economic Sustainability

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The ability to enable a quick modification and system-change is one of the essential requirements of future production systems. The two basic steps to adapt an automated production system to a new task are the reconfiguration and the reprogramming. Against this background, the central objective of this paper is the discussion of a concept to simplify the programming. Assuming the use of standard industry devices, there is a lack in the ability to gather the necessary information about the available equipment automatically. Each device allocates its inherent skills through different functions, commands and interfaces. A classification and a method to map the devices' skills to the program of automation systems have been developed to handle and interpret these skills. The concept and its application are described in this paper.

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“…If a part is plugged in commands are shown to the operator to make the programming less complex for less trained persons. In [15] a concept to store configurations and functions in EDDL (electronic device description language) is presented. The system needs to be configured only once and it can be reused from the central data management.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent System Architecture for Self-configuration

Antzoulatos

Castro

Scrimieri

et al. 2014

Lecture Notes in Computer Science

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International audienceDue to constant globalisation new trends on the market are coming up. One of the trends is the customisation of products for the customer and shorter product life cycles. To overcome the trends industries identified as key element self-reconfigurable production systems. A change to a running system means loss of time, money and manpower. A reconfigurable production system can automatically adapt to changes in terms of changing a machine or a product. The methodology behind is adapted from the office world and is called plug and produce. However, a production system has different requirements which need to be met. Due to a lack of homogeneity of industrial controllers in terms of communication and reconfigurability, as well as the interaction with the end user, the multi-agent technology was identified as a superior communicator. We present a new multilayered multi-agent architecture where the necessary agent types are introduced to fulfil the requirements for plug and produce. One scenario is shown where the architecture is employed to enable plug and produce capabilities and allow the system to adapt itself

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Automatic Configuration of Robot Systems - Upward and Downward Integration

Cited by 9 publications

References 4 publications

A Survey on Learning-Based Robotic Grasping

A Survey on Learning-Based Robotic Grasping

Classification, Modelling and Mapping of Skills in Automated Production Systems

A Multi-Agent System Architecture for Self-configuration

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