scholarly journals Playback Robot Programming Framework for Fiber Spraying Processes

2022 ◽  
pp. 351-362
Author(s):  
Edgar Schmidt ◽  
Dominik Henrich
Keyword(s):  
Industrial Robots ◽  
Robot Programming ◽  
Video Editing ◽  
Robot System ◽  
Domain Experts ◽  
Programming Framework ◽  
Novel Approach ◽  
Spraying Process

AbstractRobot-based automation is still not widespread in small and medium-sized enterprises, since programming industrial robots is usually costly and only feasible by experts. This disadvantages can be resolved by using intuitive robot programming approaches like playback programming. At the same time, there are currently not automatized automatized, like fiber spraying. We present a novel approach in programming a robot system for fiber spraying processes, which extends a playback programming framework inspired by video editing concepts. The resulting framework allows the programming of also the periphery devices needed for the fiber spraying process. We evaluated the resulting programming framework to measure the intuitiveness in the use and show that the framework is not only able to program fiber spraying tasks but is also rather intuitive to use for domain experts.

Programming industrial robots in FMS (A survey with particular reference to off-line, high-level robot program generation using VAL, VAL-II, AML And MARTI)

Robotica ◽  
1984 ◽  
Vol 2 (2) ◽  
pp. 87-92 ◽  
Author(s):  
Paul G. Ranky
Keyword(s):  
Operating System ◽  
Machine Tool ◽  
Industrial Robots ◽  
Robot Programming ◽  
Robot System ◽  
Program Generation ◽  
High Level ◽  
Program Generator ◽  
System Programming

SUMMARYThere is a great deal to be done in machine tool and robot programming research. The major problems include the slowness of the introduction of machine controllers, which have similar operating system and interfacing capabilities as the current 16 bit and 32 bit microcomputers, and the lack of intelligent, high-level standard languages, providing access not only at a high level, but also at the robot system programming level. The introduced and illustrated “MARTI” off-line robot program generator, under development by the author, attempts to provide software in this area.

scholarly journals Leveraging Graphical User Interface Automation for Generic Robot Programming

Robotics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 3
Author(s):  
Tudor B. Ionescu
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Programming Models ◽  
Shop Floor ◽  
Robot Programming ◽  
User Interactions ◽  
Programming Environments ◽  
Automated Generation ◽  
Novel Approach ◽  
Block Based

A novel approach to generic (or generalized) robot programming and a novel simplified, block-based programming environment, called “Assembly”, are introduced. The approach leverages the newest graphical user interface automation tools and techniques to generate programs in various proprietary robot programming environments by emulating user interactions in those environments. The “Assembly” tool is used to generate robot-independent intermediary program models, which are translated into robot-specific programs using a graphical user interface automation toolchain. The generalizability of the approach to list, tree, and block-based programming is assessed using three different robot programming environments, two of which are proprietary. The results of this evaluation suggest that the proposed approach is feasible for an entire range of programming models and thus enables the generation of programs in various proprietary robot programming environments. In educational settings, the automated generation of programs fosters learning different robot programming models by example. For experts, the proposed approach provides a means for generating program (or task) templates, which can be adjusted to the needs of the application at hand on the shop floor.

A Novel Approach With Bayesian Networks to Multi-Robot Task Allocation in Dynamic Environments

2021 ◽  
Author(s):  
Ching-Wei Chuang ◽  
Harry H. Cheng
Keyword(s):  
Bayesian Networks ◽  
Task Allocation ◽  
Low Cost ◽  
Dynamic Environments ◽  
Modern World ◽  
Robot System ◽  
Novel Approach ◽  
Robot Systems ◽  
Robot Task ◽  
Multi Robot

Abstract In the modern world, building an autonomous multi-robot system is essential to coordinate and control robots to help humans because using several low-cost robots becomes more robust and efficient than using one expensive, powerful robot to execute tasks to achieve the overall goal of a mission. One research area, multi-robot task allocation (MRTA), becomes substantial in a multi-robot system. Assigning suitable tasks to suitable robots is crucial in coordination, which may directly influence the result of a mission. In the past few decades, although numerous researchers have addressed various algorithms or approaches to solve MRTA problems in different multi-robot systems, it is still difficult to overcome certain challenges, such as dynamic environments, changeable task information, miscellaneous robot abilities, the dynamic condition of a robot, or uncertainties from sensors or actuators. In this paper, we propose a novel approach to handle MRTA problems with Bayesian Networks (BNs) under these challenging circumstances. Our experiments exhibit that the proposed approach may effectively solve real problems in a search-and-rescue mission in centralized, decentralized, and distributed multi-robot systems with real, low-cost robots in dynamic environments. In the future, we will demonstrate that our approach is trainable and can be utilized in a large-scale, complicated environment. Researchers might be able to apply our approach to other applications to explore its extensibility.

Über das Potenzial von Secondary Encodern zur Vermessung/Dynamic behaviour of industrial robots – about the potential of secondary encoders for system identification

2020 ◽  
Vol 110 (03) ◽  
pp. 130-134
Author(s):  
Michael Neubauer ◽  
Patrick Mesmer ◽  
Armin Lechler ◽  
Alexander Verl
Keyword(s):  
System Identification ◽  
Dynamic Behavior ◽  
Dynamic Behaviour ◽  
Industrial Robots ◽  
Novel Approach ◽  
Dynamic Path ◽  
Main Factor

Industrieroboter werden zunehmend für Anwendungen eingesetzt, in denen es wichtig ist, die programmierte Bahn exakt einzuhalten. Hierfür ist vorwiegend das dynamische Verhalten der Roboterachsen entscheidend. Stetig steigende Anforderungen an die dynamische Bahngenauigkeit motivieren die Analyse und Quantifizierung der Achsdynamik. In diesem Beitrag wird ein neuer Ansatz vorgestellt, bei dem das dynamische Verhalten von Roboterachsen mithilfe von Secondary Encodern ermittelt wird.   Industrial robots are increasingly used for applications with high requirements on path accuracy. The main factor here is the dynamic behavior of the robot joints. To satisfy rising demands on dynamic path accuracy, it is essential to analyze and quantify the axis dynamics. This paper presents a novel approach to determine the dynamic behavior of robot axes using secondary encoders.

Business Semantics Alignment for Business Process Model Integration

2013 ◽  
pp. 91-112
Author(s):  
Janina Fengel
Keyword(s):  
Business Process ◽  
Process Model ◽  
Process Models ◽  
Modeling Languages ◽  
Semantic Matching ◽  
Domain Experts ◽  
Business Operations ◽  
Novel Approach ◽  
Support Domain ◽  
Processing Techniques

Business process modeling has become an accepted means for designing and describing business operations. However, due to dissimilar utilization of modeling languages and, even more importantly, the natural language for labeling model elements, models can differ. As a result, comparisons are a non-trivial task that is presently to be performed manually. Thereby, one of the major challenges is the alignment of the business semantics contained, which is an indispensable pre-requisite for structural comparisons. For easing this workload, the authors present a novel approach for aligning business process models semantically in an automated manner. Semantic matching is enabled through a combination of ontology matching and information linguistics processing techniques. This provides for a heuristic to support domain experts in identifying similarities or discrepancies.

From Finding to Explaining

2018 ◽  
pp. 1535-1551
Author(s):  
Valentina Dragos
Keyword(s):  
Information Retrieval ◽  
Semantic Integration ◽  
Challenging Problem ◽  
Domain Experts ◽  
User Interests ◽  
Maritime Surveillance ◽  
Novel Approach ◽  
Basic Facts ◽  
Anomaly Analysis ◽  
Definition Of

Supporting anomaly analysis in the maritime field is a challenging problem because of the dynamic nature of the task: the definition of abnormal or suspicious behaviour is subject to change and depends on user interests. This paper provides a novel approach to support anomaly analysis in the maritime domain through the exploration of large collections of interpretation reports. Based on observables or more sophisticated patterns, the approach provides information retrieval strategies going from basic facts retrieval that guide short-term corrective actions to more complex networks of related concepts that help domain experts to understand or to explain abnormal vessel behaviours. Semantic integration is used to link various information sources, by using a commonly adopted standard. The paper seeks to explore different aspects of using information retrieval to support the analysis and interpretation of abnormal vessel behaviours for maritime surveillance.

Quantifying the Usability of a Robot System for Friction Stir Welding

2010 ◽  
Vol 638-642 ◽  
pp. 1255-1260
Author(s):  
Mikael Soron
Keyword(s):  
Friction Stir Welding ◽  
Case Studies ◽  
Industrial Robots ◽  
Ferrous Alloys ◽  
Robot System ◽  
Industrial Areas ◽  
Friction Stir ◽  
Excellent Method

Friction Stir Welding (FSW) has been proven an excellent method for joining of non-ferrous alloys in several industrial areas. The introduction of industrial robots in FSW has extended the possibilities, now also including complex 3-dimesional structures to be joined. There is however issues regarding the robot system’s performance as well as how to really benefit from the extended flexibility features. This paper presents how the FSW robot system ROSIOTM is intended to be used to fully explore its potential usage in production and laboratory applications. This include presenting the system’s performance in a set of case studies, but also defining in which way this system may be a subject for increased productivity in FSW.

Design Automation of Modular Industrial Robots

2009 ◽  
Author(s):  
Mehdi Tarkian ◽  
Johan O¨lvander ◽  
Xiaolong Feng ◽  
Marcus Petterson
Keyword(s):  
Design Automation ◽  
Parametric Design ◽  
Industrial Robot ◽  
Industrial Robots ◽  
Modular Robots ◽  
Integrated Analysis ◽  
Analysis Tool ◽  
Modeling Methodology ◽  
Novel Approach ◽  
Main Components

This paper presents a novel approach for designing modular robots. There are two main components in this approach namely the modeling methodology of the robot and a framework for simulation of the models and execution of an optimization process. To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the design for modular industrial robots.

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