This page has only limited features, please log in for full access.

Unclaimed
Łukasz Sobaszek
Lublin University of Technology

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Conference paper
Published: 24 June 2021 in Recent Advances in Computational Mechanics and Simulations
Reads 0
Downloads 0

Robust scheduling of production jobs has been extensively studied. New methods are being sought to support effective production scheduling in the presence of disruptions caused by uncertain events. The range, extent and variety of uncertainty factors cannot be fully anticipated, which is why the solutions developed should necessarily allow for handling several disruptions simultaneously. Therefore, this study proposes a robust scheduling method that considers two factors contributing to the uncertainty of the schedule – machine failure and variable technological operation times. In particular the algorithms for robust scheduling using prediction tools: for prediction of machine failure, estimation and implementation of redundant service time buffers and for the prediction of variable technological operation times are presented.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Antoni Świć. The Algorithms for Robust Scheduling of Production Jobs Under Machine Failure and Variable Technological Operation Times. Recent Advances in Computational Mechanics and Simulations 2021, 56 -67.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Antoni Świć. The Algorithms for Robust Scheduling of Production Jobs Under Machine Failure and Variable Technological Operation Times. Recent Advances in Computational Mechanics and Simulations. 2021; ():56-67.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Antoni Świć. 2021. "The Algorithms for Robust Scheduling of Production Jobs Under Machine Failure and Variable Technological Operation Times." Recent Advances in Computational Mechanics and Simulations , no. : 56-67.

Journal article
Published: 19 June 2021 in Applied Sciences
Reads 0
Downloads 0

Industrial robot work optimization has been extensively studied. The main reason for analysis is the growing number of robots implemented in the different manufacturing processes. In order to benefit from the implementation of industrial robots, each implementation process ought to be preceded by an in-depth analysis of the stand work. Often the integrator’s intuition is the only base for decisions. This work focuses on the need for individualized scheduling and analysis of robotic production tasks in the context of overall production scheduling. The method of alternative schedules analysis was presented. The paper presents a scheduling process for an industrial robot in the process of robot welding of thin-walled steel sheet structures under constraints caused by the process technology. The proposed method allowed to reduce the assumed time criterion at the level of 5.4% for one detail. The obtained value of technological operation time reduction resulted in increased time savings throughout the entire production process.

ACS Style

Łukasz Sobaszek; Antoni Świć. Scheduling the Process of Robot Welding of Thin-Walled Steel Sheet Structures under Constraint. Applied Sciences 2021, 11, 5683 .

AMA Style

Łukasz Sobaszek, Antoni Świć. Scheduling the Process of Robot Welding of Thin-Walled Steel Sheet Structures under Constraint. Applied Sciences. 2021; 11 (12):5683.

Chicago/Turabian Style

Łukasz Sobaszek; Antoni Świć. 2021. "Scheduling the Process of Robot Welding of Thin-Walled Steel Sheet Structures under Constraint." Applied Sciences 11, no. 12: 5683.

Journal article
Published: 01 March 2021 in Advances in Science and Technology Research Journal
Reads 0
Downloads 0
ACS Style

Antoni Świć; Łukasz Sobaszek; Arkadiusz Gola. A Method of Increasing the Accuracy of Controlling the Parameters of Dynamic Systems and Regulating the Parameters of the Elastic-Deformable State in the Process of Treating Low-Rigidity Shafts. Advances in Science and Technology Research Journal 2021, 15, 26 -36.

AMA Style

Antoni Świć, Łukasz Sobaszek, Arkadiusz Gola. A Method of Increasing the Accuracy of Controlling the Parameters of Dynamic Systems and Regulating the Parameters of the Elastic-Deformable State in the Process of Treating Low-Rigidity Shafts. Advances in Science and Technology Research Journal. 2021; 15 (1):26-36.

Chicago/Turabian Style

Antoni Świć; Łukasz Sobaszek; Arkadiusz Gola. 2021. "A Method of Increasing the Accuracy of Controlling the Parameters of Dynamic Systems and Regulating the Parameters of the Elastic-Deformable State in the Process of Treating Low-Rigidity Shafts." Advances in Science and Technology Research Journal 15, no. 1: 26-36.

Article
Published: 02 February 2021 in Journal of Intelligent Manufacturing
Reads 0
Downloads 0

The article presents a new thermo-mechanical machining method for the manufacture of long low-rigidity shafts which combines straightening and heat treatment operations. A fixture for thermo-mechanical treatment of long low-rigidity shafts was designed and used in tests which involved axial straightening of shafts combined with a quenching operation (performed to increase the corrosion resistance of the steel used as stock material). The study showed that an analysis of the initial deflections of semi-finished shafts of different dimensions and determination of the maximum corrective deflection in the device could be used as a basis for performing axial straightening of shaft workpieces with simultaneous heat treatment and correction of the initial deflection of the workpiece. The deflection is corrected by stretching the fibers of the stock material, at any cross-section of the shaft, up to the yield point and generating residual stresses symmetrical to the axis of the workpiece. These processes allow to increase the accuracy and stability of the geometric shape of the shaft.

ACS Style

Antoni Świć; Arkadiusz Gola; Łukasz Sobaszek; Natalia Šmidová. A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts. Journal of Intelligent Manufacturing 2021, 32, 1939 -1951.

AMA Style

Antoni Świć, Arkadiusz Gola, Łukasz Sobaszek, Natalia Šmidová. A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts. Journal of Intelligent Manufacturing. 2021; 32 (7):1939-1951.

Chicago/Turabian Style

Antoni Świć; Arkadiusz Gola; Łukasz Sobaszek; Natalia Šmidová. 2021. "A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts." Journal of Intelligent Manufacturing 32, no. 7: 1939-1951.

Journal article
Published: 09 November 2020 in Materials
Reads 0
Downloads 0

The specific character of the process of machining of axisymmetric low-rigidity parts makes it difficult to obtain finished products with a required accuracy of shape and dimensions and surface quality. The methods traditionally used to achieve accuracy in the machining of low-rigidity shafts considerably reduce the efficiency of the process, fail to meet modern automation requirements, and are uneconomical and not very productive, which means new methods for controlling the machining of low-rigidity shafts need to be looked for. This article presents a structural and a calculation scheme of a machining system for the turning of low-rigidity parts and a control model based on the second-order Lagrange equation. The first section of this paper presents qualitative relationships among variables in the proposed technological system for machining axisymmetric low-rigidity parts. Moreover, schematic of the machining system for the processing of such parts as well as equations describing the energy state of the machining system is presented. Next, mathematical model of optimal system control during the machining process, which permits to control a system under specific conditions and obtains a higher shape accuracy were introduced. The key stage of the verification process concerns the numerical validation of proposed solutions. Experimental studies confirm that the utilization of the proposed mathematical models describe the properties of the original object with sufficient accuracy and allow to obtain a higher machined shaft shape accuracy.

ACS Style

Antoni Świć; Arkadiusz Gola; Łukasz Sobaszek; Olga Orynycz. Control of Machining of Axisymmetric Low-Rigidity Parts. Materials 2020, 13, 5053 .

AMA Style

Antoni Świć, Arkadiusz Gola, Łukasz Sobaszek, Olga Orynycz. Control of Machining of Axisymmetric Low-Rigidity Parts. Materials. 2020; 13 (21):5053.

Chicago/Turabian Style

Antoni Świć; Arkadiusz Gola; Łukasz Sobaszek; Olga Orynycz. 2020. "Control of Machining of Axisymmetric Low-Rigidity Parts." Materials 13, no. 21: 5053.

Journal article
Published: 03 September 2020 in Applied Sciences
Reads 0
Downloads 0

Production scheduling is attracting considerable scientific interest. Effective scheduling of production jobs is a critical element of smooth organization of the work in an enterprise and, therefore, a key issue in production. The investigations focus on improving job scheduling effectiveness and methodology. Due to simplifying assumptions, most of the current solutions are not fit for industrial applications. Disruptions are inherent elements of the production process and yet, for reasons of simplicity, they tend to be rarely considered in the current scheduling models. This work presents the framework of a predictive job scheduling technique for application in the job-shop environment under the machine failure constraint. The prediction methods implemented in our work examine the nature of the machine failure uncertainty factor. The first section of this paper presents robust scheduling of production processes and reviews current solutions in the field of technological machine failure analysis. Next, elements of the Markov processes theory and ARIMA (auto-regressive integrated moving average) models are introduced to describe the parameters of machine failures. The effectiveness of our solutions is verified against real production data. The data derived from the strategic machine failure prediction model, employed at the preliminary stage, serve to develop the robust schedules using selected dispatching rules. The key stage of the verification process concerns the simulation testing that allows us to assess the execution of the production schedules obtained from the proposed model.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. Predictive Scheduling with Markov Chains and ARIMA Models. Applied Sciences 2020, 10, 6121 .

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Edward Kozłowski. Predictive Scheduling with Markov Chains and ARIMA Models. Applied Sciences. 2020; 10 (17):6121.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. 2020. "Predictive Scheduling with Markov Chains and ARIMA Models." Applied Sciences 10, no. 17: 6121.

Journal article
Published: 25 December 2019 in IFAC-PapersOnLine
Reads 0
Downloads 0

This paper presents a methodology for determining the variability of technological operations times, which is suitable for predictive scheduling of production tasks. The paper begins with outlining the problems related to production scheduling in real production systems and the process of robust job scheduling. In the work, a special attention was paid to the uncertainties associated with the variability of the times of technological operations of individual jobs. Subsequently, the proprietary prediction algorithm for the variability of technological operations times was discussed, and the results of its operation were verified using historical production data. The work was completed with the analysis of the obtained results, as well as the outlining the direction of further work in the analysed problem area.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. Prediction of variable technological operation times in production jobs scheduling. IFAC-PapersOnLine 2019, 52, 1301 -1306.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Edward Kozłowski. Prediction of variable technological operation times in production jobs scheduling. IFAC-PapersOnLine. 2019; 52 (13):1301-1306.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. 2019. "Prediction of variable technological operation times in production jobs scheduling." IFAC-PapersOnLine 52, no. 13: 1301-1306.

Journal article
Published: 10 December 2019 in Eksploatacja i Niezawodnosc - Maintenance and Reliability
Reads 0
Downloads 0
ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Antoni Świć. Time-based machine failure prediction in multi-machine manufacturing systems. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019, 22, 52 -62.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Antoni Świć. Time-based machine failure prediction in multi-machine manufacturing systems. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 2019; 22 (1):52-62.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Antoni Świć. 2019. "Time-based machine failure prediction in multi-machine manufacturing systems." Eksploatacja i Niezawodnosc - Maintenance and Reliability 22, no. 1: 52-62.

Journal article
Published: 02 November 2019 in IFAC-PapersOnLine
Reads 0
Downloads 0

The paper presents a 7-level hierarchical mathematical model of the system of longitudinal turning and a mathematical model of the dynamic system of machining of shafts with low rigidity in the elastic-deformable state, taking into account factors interfering with and destabilising the process of shaft machining. For the purpose of validation of the models, a study was conducted on the conformance of the dynamic characteristics of the mathematical model with the actual object. The study was realized on specially designed experimental workstation for the study of characteristics of the dynamic system of turning of elastic-deformable shafts with low rigidity. The experiment demonstrated a high conformance of the dynamic characteristics of the mathematical model with the actual object.

ACS Style

Antoni Świć; Łukasz Sobaszek; Arkadiusz Gola; Olga Orynycz. Clasiffication and Analysis of Typical Structures of Dynamic Systems of Machining of Low-Rigidity Shafts. IFAC-PapersOnLine 2019, 52, 142 -147.

AMA Style

Antoni Świć, Łukasz Sobaszek, Arkadiusz Gola, Olga Orynycz. Clasiffication and Analysis of Typical Structures of Dynamic Systems of Machining of Low-Rigidity Shafts. IFAC-PapersOnLine. 2019; 52 (10):142-147.

Chicago/Turabian Style

Antoni Świć; Łukasz Sobaszek; Arkadiusz Gola; Olga Orynycz. 2019. "Clasiffication and Analysis of Typical Structures of Dynamic Systems of Machining of Low-Rigidity Shafts." IFAC-PapersOnLine 52, no. 10: 142-147.

Journal article
Published: 02 November 2019 in IFAC-PapersOnLine
Reads 0
Downloads 0

The following paper describes the method for heat straightening of long low-stiffness shafts in a thermomechanical treatment tool. The straightening tool with a fixed workpiece, whose coefficient of thermal expansion is lower than that of the shaft material, is subjected to cooling. As a result of the difference of coefficients of thermal expansion at cooling axial loading occurs, causing axial the straightening of the shaft. Subsequent sections described the control system for automatic thermomechanical treatment and the mathematical model of the controlled system, functionally combining the input and output parameters. The paper also presents the experimental part of the study, within which the thermomechanical treatment tool was employed to perform axial straightening of shafts combined with hardening (aimed to increase the corrosion resistance of steel). The conducted tests showed that during heating the shaft deforms at the expected speed, in accordance with the heat treatment technology. As a result, the experimental tests have confirmed the validity of the developed models, diagrams and analytical dependencies.

ACS Style

Antoni Świć; Łukasz Sobaszek; Arkadiusz Gola; Natalia Šmidová. Thermomechanical Treatment of Long Low-Stiffness Shafts. IFAC-PapersOnLine 2019, 52, 136 -141.

AMA Style

Antoni Świć, Łukasz Sobaszek, Arkadiusz Gola, Natalia Šmidová. Thermomechanical Treatment of Long Low-Stiffness Shafts. IFAC-PapersOnLine. 2019; 52 (10):136-141.

Chicago/Turabian Style

Antoni Świć; Łukasz Sobaszek; Arkadiusz Gola; Natalia Šmidová. 2019. "Thermomechanical Treatment of Long Low-Stiffness Shafts." IFAC-PapersOnLine 52, no. 10: 136-141.

Journal article
Published: 02 November 2019 in IFAC-PapersOnLine
Reads 0
Downloads 0

This work analyses and proposes an application of adaptive control systems exhibiting low-sensitivity to changes in the technological system parameters in machining low-stiffness axisymmetric workpieces. Secondly, the frequency ranges at which the adaptive control system shows high sensitivity to changing machining allowance were determined. Finally, the developed method enables increasing the control accuracy of dynamic system parameters under changing feed rate and adjusting the elastic-strain parameters of the low-stiffness workpiece by means of the introduction of an error correction block in the form of negative feedback relative to the cutting force. The paper presents the method for constructing adaptive control systems that exhibit low sensitivity to modification of turning or grinding parameters.

ACS Style

Antoni Świć; Arkadiusz Gola; Łukasz Sobaszek; Natalia Šmidová. Implementation of Low-Sensitivity Adaptive Control Systems in Machining Low-Stiffness Axisymmetric Workpieces. IFAC-PapersOnLine 2019, 52, 79 -84.

AMA Style

Antoni Świć, Arkadiusz Gola, Łukasz Sobaszek, Natalia Šmidová. Implementation of Low-Sensitivity Adaptive Control Systems in Machining Low-Stiffness Axisymmetric Workpieces. IFAC-PapersOnLine. 2019; 52 (10):79-84.

Chicago/Turabian Style

Antoni Świć; Arkadiusz Gola; Łukasz Sobaszek; Natalia Šmidová. 2019. "Implementation of Low-Sensitivity Adaptive Control Systems in Machining Low-Stiffness Axisymmetric Workpieces." IFAC-PapersOnLine 52, no. 10: 79-84.

Journal article
Published: 01 December 2018 in Acta Mechanica et Automatica
Reads 0
Downloads 0

The new methods of statistical analysis of heart rhythm were developed based on its generalized mathematical model in a form of random rhythm function, that allows to increase the informativeness and detailed analysis of heart rhythm in cardiovascular information systems. Three information criteria (BIC, AIC and AICc) were used to determine the cumulative distribution functions that best describe the sample and to assess the unknown parameters of distributions. The usage of the rhythm function to analyse heart rhythm allows to consider much better its time structure that is the basis to improve the accuracy of diagnosis of cardiac rhythm.

ACS Style

Serhii Lupenko; Nadiia Lutsyk; Oleg Yasniy; Łukasz Sobaszek. Statistical Analysis of Human Heart Rhythm with Increased Informativeness. Acta Mechanica et Automatica 2018, 12, 311 -315.

AMA Style

Serhii Lupenko, Nadiia Lutsyk, Oleg Yasniy, Łukasz Sobaszek. Statistical Analysis of Human Heart Rhythm with Increased Informativeness. Acta Mechanica et Automatica. 2018; 12 (4):311-315.

Chicago/Turabian Style

Serhii Lupenko; Nadiia Lutsyk; Oleg Yasniy; Łukasz Sobaszek. 2018. "Statistical Analysis of Human Heart Rhythm with Increased Informativeness." Acta Mechanica et Automatica 12, no. 4: 311-315.

Conference paper
Published: 26 September 2018 in Proceedings of the 2018 Federated Conference on Computer Science and Information Systems
Reads 0
Downloads 0
ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. Job-shop scheduling with machine breakdown prediction under completion time constraint. Proceedings of the 2018 Federated Conference on Computer Science and Information Systems 2018, 15, 437 -440.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Edward Kozłowski. Job-shop scheduling with machine breakdown prediction under completion time constraint. Proceedings of the 2018 Federated Conference on Computer Science and Information Systems. 2018; 15 ():437-440.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. 2018. "Job-shop scheduling with machine breakdown prediction under completion time constraint." Proceedings of the 2018 Federated Conference on Computer Science and Information Systems 15, no. : 437-440.

Conference paper
Published: 01 August 2018 in Advances in Intelligent Systems and Computing
Reads 0
Downloads 0

This paper presents a model for the prediction of technological operation times in the framework of an intelligent job scheduling system. The developed prediction module implements ARMA/ARIMA time series models. In addition, the paper introduces the mathematical prediction model and its implementation to the particular test case. The scheduling made use of dispatching rules: LPT, SPT, FCFS and EDD. The validation of the model appears to confirm the effectiveness of the proposed solution and substantiate further research works in this direction.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. Module for Prediction of Technological Operation Times in an Intelligent Job Scheduling System. Advances in Intelligent Systems and Computing 2018, 234 -243.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Edward Kozłowski. Module for Prediction of Technological Operation Times in an Intelligent Job Scheduling System. Advances in Intelligent Systems and Computing. 2018; ():234-243.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. 2018. "Module for Prediction of Technological Operation Times in an Intelligent Job Scheduling System." Advances in Intelligent Systems and Computing , no. : 234-243.

Proceedings article
Published: 11 October 2017 in Economics and Management Innovations (ICEMI)
Reads 0
Downloads 0
ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. Effect of Machine Failure Prediction on Selected Parameters of Manufacturing Schedule in a Job-shop Environment. Economics and Management Innovations (ICEMI) 2017, 1 .

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Edward Kozłowski. Effect of Machine Failure Prediction on Selected Parameters of Manufacturing Schedule in a Job-shop Environment. Economics and Management Innovations (ICEMI). 2017; ():1.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. 2017. "Effect of Machine Failure Prediction on Selected Parameters of Manufacturing Schedule in a Job-shop Environment." Economics and Management Innovations (ICEMI) , no. : 1.

Conference paper
Published: 24 September 2017 in Position Papers of the 2017 Federated Conference on Computer Science and Information Systems
Reads 0
Downloads 0
ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. Application of survival function in robust scheduling of production jobs. Position Papers of the 2017 Federated Conference on Computer Science and Information Systems 2017, 11, 575 -578.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Edward Kozłowski. Application of survival function in robust scheduling of production jobs. Position Papers of the 2017 Federated Conference on Computer Science and Information Systems. 2017; 11 ():575-578.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Edward Kozłowski. 2017. "Application of survival function in robust scheduling of production jobs." Position Papers of the 2017 Federated Conference on Computer Science and Information Systems 11, no. : 575-578.

Conference paper
Published: 18 August 2017 in Advances in Intelligent Systems and Computing
Reads 0
Downloads 0

Production processes are inseparably connected with numerous factors hindering their course. It is therefore essential to ensure that the process is carried out with no disruptions, which demands that these are identified and compensated for in advance. This paper presents intelligent job scheduling system under uncertainty. The first section gives a brief overview of job scheduling in manufacturing. The second section examines robust scheduling as a solution to production process disruptions. Furthermore, the idea of predictive/reactive scheduling is presented, highlighting the essence of predictive scheduling in a production process with two-factor uncertainty.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Antoni Świć. Predictive Scheduling as a Part of Intelligent Job Scheduling System. Advances in Intelligent Systems and Computing 2017, 358 -367.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Antoni Świć. Predictive Scheduling as a Part of Intelligent Job Scheduling System. Advances in Intelligent Systems and Computing. 2017; ():358-367.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Antoni Świć. 2017. "Predictive Scheduling as a Part of Intelligent Job Scheduling System." Advances in Intelligent Systems and Computing , no. : 358-367.

Journal article
Published: 09 May 2017 in DEStech Transactions on Social Science, Education and Human Science
Reads 0
Downloads 0

Modern, highly competitive market demands from enterprises that the production processes are realised efficiently. Any downtime results in missing order delivery times, which entails enforcing contractual fines and losing customers. The companies must, therefore, strive to identify and compensate for any factors destabilising efficient course of the production process. Therefore, the following paper describes results of stability analysis of a production process by means of hazard function. Machine failure in the stock of tools was established as the disruptive factor. The summary of modern trends in reliability analysis was followed by description of event history analysis methods and their practical application in analysis of historical data obtained from a manufacturing enterprise.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola. Intensity Function in Evaluation of Production Process Stability. DEStech Transactions on Social Science, Education and Human Science 2017, 1 .

AMA Style

Łukasz Sobaszek, Arkadiusz Gola. Intensity Function in Evaluation of Production Process Stability. DEStech Transactions on Social Science, Education and Human Science. 2017; (icss):1.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola. 2017. "Intensity Function in Evaluation of Production Process Stability." DEStech Transactions on Social Science, Education and Human Science , no. icss: 1.

Journal article
Published: 01 July 2016 in Applied Mechanics and Materials
Reads 0
Downloads 0

The number of companies that decide to employ industrial robots to facilitate their production process is on the constant increase. Implementation of such solutions requires deep analysis of manifold aspects of such an endeavour. Apart from the economical face of the problem, there appear issues connected with integration of robots with the existing manufacturing infrastructure. Hence software enabling simulation and analysis of a robot work in the future environment is in demand. The following article is devoted to the problem of virtual designing of robotic workstations. The work presents basic information regarding application of robots in manufacturing companies and introduces typical software for simulation and programming of industrial robots. What is more, the process of designing a virtual environment and conducting analysis of robot work analysis is presented based on the laboratory set-up with Kawasaki RS003N robot. Finally, other examples of virtually designed robotic workstations are introduced.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola; Jozef Varga. Virtual Designing of Robotic Workstations. Applied Mechanics and Materials 2016, 844, 31 -37.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola, Jozef Varga. Virtual Designing of Robotic Workstations. Applied Mechanics and Materials. 2016; 844 ():31-37.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola; Jozef Varga. 2016. "Virtual Designing of Robotic Workstations." Applied Mechanics and Materials 844, no. : 31-37.

Journal article
Published: 01 September 2015 in Applied Mechanics and Materials
Reads 0
Downloads 0

The development of robotics caused the creation of new solutions in robots communication. Nowadays, there is a need to create not only systems of cooperation between robots and/or their equipment, but also in the relation human-robot. The paper presents the idea of software supporting the collaboration between human and industrial robot. First of all, different types of cooperation in robotics are described. Moreover, a communication solution and computer software proposal are presented. In the final part of the paper the authors present the application developed and the results of experimental work.

ACS Style

Łukasz Sobaszek; Arkadiusz Gola. Perspective and Methods of Human-Industrial Robots Cooperation. Applied Mechanics and Materials 2015, 791, 178 -183.

AMA Style

Łukasz Sobaszek, Arkadiusz Gola. Perspective and Methods of Human-Industrial Robots Cooperation. Applied Mechanics and Materials. 2015; 791 ():178-183.

Chicago/Turabian Style

Łukasz Sobaszek; Arkadiusz Gola. 2015. "Perspective and Methods of Human-Industrial Robots Cooperation." Applied Mechanics and Materials 791, no. : 178-183.