Academic literature on the topic 'Machine-tools Robots'

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Journal articles on the topic "Machine-tools Robots"

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Koren, Yoram. "Control of Machine Tools and Robots." Applied Mechanics Reviews 39, no. 9 (1986): 1331–38. http://dx.doi.org/10.1115/1.3149522.

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The principal control structure of CNC machine tools and industrial robots is similar, since in both systems each axis of motion is separately controlled with a position feedback loop. Nevertheless, the control of robots is more complex, since they include more degrees of freedom and the motion of each joint is not independent of other joints. This paper compares the conventional control schemes of both systems, and summarizes recent developments in adaptive control of machine tools and robots.
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Bloss, Richard. "Robots meet machine tools at the IMTS party." Industrial Robot: An International Journal 34, no. 2 (2007): 99–102. http://dx.doi.org/10.1108/01439910710727414.

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Luo, Yi, Olivier Gibaru, and Adel Olabi. "Dynamic Simulation of the Six Axis Machining Robot for Trajectory Planning in CATIA-LMS." Applied Mechanics and Materials 163 (April 2012): 74–78. http://dx.doi.org/10.4028/www.scientific.net/amm.163.74.

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Nowadays six axis machining robots are widely used in many fields of industry. Compared to machine tools, industrial robots offer a cheaper yet more flexible alternative to the machine-tools in the cleaning and pre-machining applications of aluminum castings. But the low stiffness has limited the application of industrial robots to the machining tasks with very low precision requirement. This paper presents a practical approach to improve the robot-machining accuracy by developing an off line simulation tool. Firstly we will complete the dynamic simulation of the 6-axis stiff model in CATIA-LMS for trajectory planning. Secondly we will set flexible joints and balancing system for the industry machining robot in LMS. Finally we will make some compare with the position trajectories generated by flexible joint and stiff joint, and then adjust the parameters under the references of the simulation result before the industry machining.
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Spanò, Alvise, and Agostino Cortesi. "Legodroid: A Type-Driven Library for Android and LEGO Mindstorms Interoperability." Sensors 20, no. 7 (2020): 1926. http://dx.doi.org/10.3390/s20071926.

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LEGO Mindstorms robots are widely used as educational tools to acquire skills in programming complex systems involving the interaction of sensors and actuators, and they offer a flexible and modular workbench to design and evaluate user–machine interaction prototypes in the robotic area. However, there is still a lack of support to interoperability features and the need of high-level tools to program the interaction of a robot with other devices. In this paper, we introduce Legodroid, a new Java library enabling cross-programming LEGO Mindstorms robots through Android smartphones that exploits their combined computational and sensorial capabilities in a seamless way. The library provides a number of type-driven coding patterns for interacting with sensors and motors. In this way, the robustness of the software managing robot’s sensors dramatically improves.
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Ihara, Yukitoshi. "Ball Bar Measurement on Machine Tools with Rotary Axes." International Journal of Automation Technology 6, no. 2 (2012): 180–87. http://dx.doi.org/10.20965/ijat.2012.p0180.

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A ball bar is a very convenient device for measuring the motion accuracy of machine tools. Some trials have also been done for measuring motion accuracy of industrial robots. Nowadays, multi-axis machines such as five-axis machining centers are very popular, and therefore, there is increased demand for checking their accuracy. This paper introduces an idea for checking the motion accuracy of five-axis machining centers and diagnosing error sources by reviewing trial measurements on articulated industrial robots. There are two problems. The first problem is that the ball bar can measure only distances, and the second problem is that the ball bar is a linear device and therefore not suitable for the rotary axis motion of 5-axis machines and articulated robots. Finally, the test conditions for the measurement of the motion accuracy of a machine tool showing conical motion, by using the ball bar and ISO/DIS 10791-6 (which is currently being edited) are reviewed and verified.
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Aliev, Khurshid, and Dario Antonelli. "Proposal of a Monitoring System for Collaborative Robots to Predict Outages and to Assess Reliability Factors Exploiting Machine Learning." Applied Sciences 11, no. 4 (2021): 1621. http://dx.doi.org/10.3390/app11041621.

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Industry standards pertaining to Human-Robot Collaboration (HRC) impose strict safety requirements to protect human operators from danger. When a robot is equipped with dangerous tools, moves at a high speed or carries heavy loads, the current safety legislation requires the continuous on-line monitoring of the robot’s speed and a suitable separation distance from human workers. The present paper proposes to make a virtue out of necessity by extending the scope of on-line monitoring to predicting failures and safe stops. This has been done by implementing a platform, based on open access tools and technologies, to monitor the parameters of a robot during the execution of collaborative tasks. An automatic machine learning (ML) tool on the edge of the network can help to perform the on-line predictions of possible outages of collaborative robots, especially as a consequence of human-robot interactions. By exploiting the on-line monitoring system, it is possible to increase the reliability of collaborative work, by eliminating any unplanned downtimes during execution of the tasks, by maximising trust in safe interactions and by increasing the robot’s lifetime. The proposed framework demonstrates a data management technique in industrial robots considered as a physical cyber-system. Using an assembly case study, the parameters of a robot have been collected and fed to an automatic ML model in order to identify the most significant reliability factors and to predict the necessity of safe stops of the robot. Moreover, the data acquired from the case study have been used to monitor the manipulator’ joints; to predict cobot autonomy and to provide predictive maintenance notifications and alerts to the end-users and vendors.
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Cannon, David J., and Geb Thomas. "Virtual Tools for Supervisory and Collaborative Control of Robots." Presence: Teleoperators and Virtual Environments 6, no. 1 (1997): 1–28. http://dx.doi.org/10.1162/pres.1997.6.1.1.

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Often, robotics has failed to meet industry expectations because programming robots is tedious, requires specialists, and often does not provide enough real flexibility to be worth the investment. In order to advance beyond a possible robotics plateau, an integrating technology will need to emerge that can take advantage of complex new robotic capabilities while making systems easier for nonrobotics people to use. This research introduces virtual tools with robotic attributes, and collaborative control concepts, that enable experts in areas other than robotics to simply point and direct sophisticated robots and machines to do new tasks. A system of robots that are directed using such virtual tools is now in place at the Pennsylvania State University (Penn State) and has been replicated at Sandia National Laboratories. (Mpeg movies from the Penn State Virtual Tools and Robotics Laboratory are at http://virtuoso.psu.edu/ mpeg_page.html.) Virtual tools, which appear as graphic representations of robot endeffectors interwoven into live video, carry robotic attributes that define trajectory details and determine how to interpret sensor readings for a particular type of task. An operator, or team of experts, directs robot tasks by virtually placing these tool icons in the scene. The operator(s) direct tasks involving attributes in the same natural way that supervisors direct human subordinates to, for example, “put that there,” “dig there,” “cut there,” and “grind there.” In this human-machine interface, operators do not teach entire tasks via virtual telemanipulation. They define key action points. The virtual tool attributes allow operators to stay at a supervisory level, doing what humans can do best in terms of task perceptualization, while robots plan appropriate trajectories and a variety of tool-dependent executions. Neither the task experts (e.g., in hazardous environments) nor the plant supervisors (e.g., in remote manufacturing applications) must turn over control to specialized robot technicians for long periods. Within this concept, shutting down a plant to reprogram robots to produce a new product, for example, is no longer required. Further, even though several key collaborators may be in different cities for a particular application, they may work with other experts over a project net that is formed for a particular mission. (We link simply by sending video frames over Netscape.) Using a shared set of virtual tools displayed simultaneously on each of the collaborator workstations, experts virtually enter a common videographic scene to direct portions of a task while graphically and verbally discussing alternatives with the other experts. In the process of achieving collaborative consensus, the robots are automatically programmed as a byproduct of using the virtual tools to decide what should be done and where. The robots can immediately execute the task for all to see once consensus is reached. Virtual tools and their attributes achieve robotic flexibility without requiring specialized programming or telemanipulation on the part of in situ operators. By sharing the virtual tools over project nets, noncollocated experts may now contribute to robot and intelligent machine tasks. To date, we have used virtual tools to direct a large gantry robot at Sandia National Laboratories from Penn State. We will soon have multiple collaborators sharing the virtual tools remotely, with a protocol for participants to take turns placing and moving virtual tools to define portions of complex tasks in other industrial, space-telerobotic, and educational environments. Attributes from each area of robotics research are envisioned with virtual tools as a repository for combining these independently developed robotic capabilities into integrated entities that are easy for an operator to understand, use, and modify.
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Krakhmalev, O. N., D. I. Petreshin, and O. N. Fedonin. "Improving the precision of multicoordinate machine tools and industrial robots." Russian Engineering Research 37, no. 5 (2017): 434–37. http://dx.doi.org/10.3103/s1068798x17050136.

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Shukla, Prashant, H. James Wilson, Allan Alter, and David Lavieri. "Machine reengineering: robots and people working smarter together." Strategy & Leadership 45, no. 6 (2017): 50–54. http://dx.doi.org/10.1108/sl-09-2017-0089.

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Purpose The authors explore the potential of machine learning, computers employ that an algorithm to sort data, make decisions and then continuously assess and improve their functionality. They suggest that it be used to power a radical redesign of company processes that they call machine reengineering. Design/methodology/approach The authors interpret a survey of more than a thousand corporate public agency IT professionals on their use of artificial intelligence and machine learning. Findings Companies that embrace machine learning find that it adds value to the work product of their employees and provides companies with new capabilities. Practical implications Working together with an intelligent machine, workers become custodians of powerfully smart tools, tools that personalize work to maximize their most productive ways of working. Originality/value A guide to establishing a culture that empowers employees to thrive alongside intelligent machines.
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Busch, Maximilian, Florian Schnoes, Thomas Semm, Michael F. Zaeh, Birgit Obst, and Dirk Hartmann. "Probabilistic information fusion to model the pose-dependent dynamics of milling robots." Production Engineering 14, no. 4 (2020): 435–44. http://dx.doi.org/10.1007/s11740-020-00975-8.

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Abstract Conventional industrial robots are increasingly used for milling applications of large workpieces due to their workspace and their low investment costs in comparison to conventional machine tools. However, static deflections and dynamic instabilities during the milling process limit the efficiency and productivity of such robot-based milling systems. Since the pose-dependent dynamic properties of the industrial robot structures are notoriously difficult to model analytically, machine learning methods are recently gaining more and more popularity to derive system models from experimental data. In this publication, a modeling concept based on a modern information fusion scheme, fusing simulation and experimental data, is proposed. This approach provides a precise model of the robot’s pose-dependent structural dynamics and is validated for a one-dimensional variation of the robot pose. The results of two information fusion algorithms are compared with a conventional, data-driven approach and indicate a superior model accuracy regarding interpolation and extrapolation of the pose-dependent dynamics. The proposed approach enables decreasing the necessary amount of experimental data needed to assess the vibrational properties of the robot for a desired pose. Additionally, the concept is able to predict the robot dynamics at poses where experimental data is very costly to gather.
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Dissertations / Theses on the topic "Machine-tools Robots"

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Theissen, Nikolas Alexander. "Physics-based modelling and measurement of advanced manufacturing machinery’s positioning accuracy : Machine tools, industrial manipulators and their positioning accuracy." Licentiate thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263700.

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Advanced manufacturing machinery is a corner stone of essential industries of technologicallydeveloped societies. Their accuracy permits the production of complexproducts according to tight geometric dimensions and tolerances for high efficiency,interchangeability and sustainability. The accuracy of advanced manufacturingmachinery can be quantified by the performance measure of positioning accuracy.Positioning accuracy measures the closeness between a commanded and an attainedposition on a machine tool or industrial manipulator, and it is ruled by lawsof physics in classical mechanics and thermodynamics. These laws can be applied tomodel how much the machinery deflects due to gravity, expands due to a change intemperature and how much and how long it vibrates due to process forces; hence,one can quantify how much the accuracy decreases. Thus, to produce machinerywith ever higher accuracy and precision one can design machines which deflect,expand and vibrate less or one can understand and model the actual behaviour ofthe machinery to compensate for it.This licentiate thesis uses physics-based modelling to quantify the positioningaccuracy of machine tools and industrial robots. The work investigates the potentialincrease in positioning accuracy because of the simultaneous modelling of the kinematics,static deflections, vibrations and thermo-elasticity as a lumped-parametermodel of the machinery. Consequently the models can be used to quantify thechange of the accuracy throughout the workspace.The lumped parameter models presented in this work require empirical modelcalibration and validation. The success of both, calibration and validation, dependson the availability of the right measurement instruments, as these need to be ableto capture the actual positioning accuracy of machinery. This thesis focuses on theimportance of measurement instruments in industry and metrology and creates acatalogue of requirements and trends to identify the features of the measurementinstruments required for the factories of the future. These novel measurement instrumentsshall be able to improve model calibration and validation for an improvedoverall equipment effectiveness, improved product quality, reduced costs, improvedsafety and sustainability as a result of physics-based modelling and measurementof advanced manufacturing machinery.
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Du, Plessis Lukas Johannes. "Design and optimum operation of a re-configurable planar Gough-Stewart machining platform." Thesis, Pretoria : [s.n.], 2001. http://upetd.up.ac.za/thesis/available/etd-10312005-140405/.

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Santos, Luciano Antonio Frezzatto 1986. "Planejamento de trajetórias e implementação de técnicas de posicionamento de eixos para dispositivo CNC com arquitetura de controle aberta." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265316.

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Orientador: João Maurício Rosário<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-18T19:32:48Z (GMT). No. of bitstreams: 1 Santos_LucianoAntonioFrezzatto_M.pdf: 5750912 bytes, checksum: c4a22f3fc8b9c19bf5c3cac9557903c4 (MD5) Previous issue date: 2011<br>Resumo: Máquinas-ferramenta CNC são dispositivos complexos que executam movimentos automáticos, precisos e consistentes. Com o propósito de aprimorar o desempenho destes dispositivos face às mudanças bruscas de parâmetros agregados a posição, velocidade e aceleração no decurso de determinada trajetória torna-se imprescindível o estudo de novas arquiteturas de controle. A automação flexível permite que dispositivos robóticos mostrem-se cada vez mais velozes, motivando o desenvolvimento de técnicas que possibilitem de modo eficiente a substituição de controladores clássicos do tipo PID. Este estudo propôs-se a implementar um método alternativo para acionamento de um dispositivo cartesiano CNC de alta precisão com ênfase no desenvolvimento de um ambiente computacional para planejamento de movimentos e síntese de controladores. A geração de movimentos foi realizada por meio de um método de interpolação por splines que garantiu a continuidade e a suavidade dos perfis de trajetória. Para garantir que tais perfis fossem corretamente executados pelo dispositivo cartesiano, dois métodos de controle baseados no modelo do sistema foram implementados de forma a estabelecer comparação entre seus desempenhos. Em seguida, concebeu-se um ambiente de simulação com arquitetura aberta e flexível, o qual permitiu validar as estratégias propostas além de analisar a influência que perturbações externas causavam sobre o comportamento do dispositivo cartesiano. Tendo as estratégias sido validadas, procedeu-se à implementação em dispositivo físico utilizando uma placa FPGA para embarcar os controladores sintetizados. Os resultados mostraram que as estratégias propostas apresentaram bom desempenho quando empregadas junto ao dispositivo cartesiano CNC. Outrossim, o ferramental desenvolvido no estudo é suficientemente genérico para ser estendido a outras aplicações utilizando máquinas-ferramenta CNC<br>Abstract: CNC machine tools are complex devices that execute automatic, precise and consistent movements. Aiming to improve the performance of these devices due to sudden changes on parameters associated to position, speed and acceleration while performing a given trajectory, it becomes indispensable the study of new control architectures. The flexible automation allows faster robotic devices, motivating the development of techniques that efficiently substitute classic PID controllers. This study aimed to implement an alternative method for driving a high-precision CNC cartesian device focusing on the development of a computing environment for movement planning and synthesis of controllers. The movement generation was performed by means of a spline interpolation method that ensured the continuity and smoothness of trajectory profiles. To ensure that these profiles were correctly executed by the cartesian device, two control techniques based on the model of the system were implemented in order to establish comparisons between their performances. Then, a simulation environment with open and flexible architecture was conceived, which allowed the validation of the proposed techniques besides analyzing the influence of external disturbances on the cartesian device behavior. Having the strategies been validated, the implementation in physical device was done using a FPGA board to embed the synthesized controllers. The results showed that the proposed strategies had good performance when applied to the CNC cartesian device. Furthermore, the tools developed in the study are general enough to be extended to other applications using CNC machine tools<br>Mestrado<br>Mecanica dos Sólidos e Projeto Mecanico<br>Mestre em Engenharia Mecânica
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Yun, Sung-Ho. "Robust optimization and machine learning tools for adaptive transmission in wireless networks." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-12-4484.

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Current and emerging wireless systems require adaptive transmissions to improve their throughput, to meet the QoS requirements or to maintain robust performance. However finding the optimal transmit parameters is getting more difficult due to the growing number of wireless devices that share the wireless medium and the increasing dimensions of transmit parameters, e.g., frequency, time and spatial domain. The performance of adaptive transmission policies derived from given measurements degrade when the environment changes. The policies need to either build up protection against those changes or tune themselves accordingly. Also, an adaptation for systems that take advantages of transmit diversity with finer granularity of resource allocation is hard to come up with due to the prohibitively large number of explicit and implicit environmental variables to take into account. The solutions to the simplified problems often fail due to incorrect assumptions and approximations. In this dissertation, we suggest two tools for adaptive transmission in changing complex environments. We show that adjustable robust optimization builds up protection upon the adaptive resource allocation in interference limited cellular broadband systems, yet maintains the flexibility to tune it according to temporally changing demand. Another tool we propose is based on a data driven approach called Support Vectors. We develop adaptive transmission policies to select the right set of transmit parameters in MIMO-OFDM wireless systems. While we don't explicitly consider all the related parameters, learning based algorithms implicitly take them all into account and result in the adaptation policies that fit optimally to the given environment. We extend the result to multicast traffic and show that the distributed algorithm combined with a data driven approach increases the system performance while keeping the required overhead for information exchange bounded.<br>text
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Zhao, Ran. "Modeling and Contour Control of Multi-Axis Linear Driven Machine Tools." Doctoral diss., 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6214.

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In modern manufacturing industries, many applications require precision motion control of multi-agent systems, like multi-joint robot arms and multi-axis machine tools. Cutter (end effector) should stay as close as possible to the reference trajectory to ensure the quality of the final products. In conventional computer numerical control (CNC), the control unit of each axis is independently designed to achieve the best individual tracking performance. However, this becomes less effective when dealing with multi-axis contour following tasks because of the lack of coordination among axes. This dissertation studies the control of multi-axis machine tools with focus on reducing the contour error. The proposed research explicitly addresses the minimization of contour error and treats the multi-axis machine tool as a multi-input-multi-output (MIMO) system instead of several decoupled single-input-single-output (SISO) systems. New control schemes are developed to achieve superior contour following performance even in the presence of disturbances. This study also extends the applications of the proposed control system from plane contours to regular contours in R3. The effectiveness of the developed control systems is experimentally verified on a micro milling machine.<br>Ph.D.<br>Doctorate<br>Mechanical and Aerospace Engineering<br>Engineering and Computer Science<br>Mechanical Engineering
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Books on the topic "Machine-tools Robots"

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Baĭkov, V. D. Reshenie traektornykh zadach v mikroprot͡s︡essornykh sistemakh ChPU. "Mashinostroenie," Leningradskoe otd-nie, 1986.

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United Nations Conference on Trade and Development. Secretariat. The diffusion of electronics technologies in the capital goods sector in some developing countries. United Nations, 1990.

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Chemnitzer Parallelstruktur-Seminar (1998 Chemnitz, Germany). Chemnitzer Parallelstruktur-Seminar, 28./29. April 1998: Tagungsband. Wissenschaftliche Scripten, 1998.

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1936-, Suh Nam P., ed. Axiomatic design and fabrication of composite structures: Applications in robots, machine tools and automobiles. Oxford University Press, 2005.

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Programmable automation. Industrial Press, Inc., 2010.

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Gyrdymov, G. P. Proektirovanie postprot͡s︡essorov dli͡a︡ oborudovanii͡a︡ gibkikh proizvodstvennykh sistem. "Mashinostroenie," Leningradskoe otd-nie, 1988.

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Kandray, Daniel. Programmable automation technologies: An introduction to CNC, robotics and PLCs. Industrial Press, 2010.

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Kelly, James F. (James Floyd), ed. Build your own CNC machine. Apress, 2009.

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Williams, Geoff. CNC robotics: Build your own workshop bot. McGraw-Hill, 2003.

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United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Technology and Competitiveness. Critical technologies: Materials : hearing before the Subcommittee on Technologies and Competitiveness of the Committee on Science, Space, and Technology, U.S. House of Representatives, One Hundred Second Congress, first session, June 11, 1991. U.S. G.P.O., 1991.

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Book chapters on the topic "Machine-tools Robots"

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Tönshoff, H. K. "Sensors for Machine Tools and Robots." In Sensors in Manufacturing. Wiley-VCH Verlag GmbH, 2002. http://dx.doi.org/10.1002/3527600027.ch2.

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Wright, Paul K. "Sensor Based Robots and Machine Tools for Flexible Manufacturing Cells." In Proceedings of the Twenty-Fifth International Machine Tool Design and Research Conference. Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-07529-4_40.

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Murray, Yvonne, David A. Anisi, Martin Sirevåg, Pedro Ribeiro, and Rabah Saleh Hagag. "Safety Assurance of a High Voltage Controller for an Industrial Robotic System." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63882-5_4.

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Abstract Due to the risk of discharge sparks and ignition, there are strict rules concerning the safety of high voltage electrostatic systems used in industrial painting robots. In order to assure that the system fulfils its safety requirements, formal verification is an important tool to supplement traditional testing and quality assurance procedures. The work in this paper presents formal verification of the most important safety functions of a high voltage controller. The controller has been modelled as a finite state machine, which was formally verified using two different model checking software tools; Simulink Design Verifier and RoboTool. Five safety critical properties were specified and formally verified using the two tools. Simulink was chosen as a low-threshold entry point since MathWorks products are well known to most practitioners. RoboTool serves as a software tool targeted towards model checking, thus providing more advanced options for the more experienced user. The comparative study and results show that all properties were successfully verified. The verification times in both tools were in the order of a few minutes, which was within the acceptable time limit for this particular application.
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Zhang, Dan. "Architectures of Parallel Robotic Machine." In Parallel Robotic Machine Tools. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1117-9_3.

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Zhang, Dan. "Planar Parallel Robotic Machine Design." In Parallel Robotic Machine Tools. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1117-9_4.

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Zhang, Dan. "Integrated Environment for Design and Analysis of Parallel Robotic Machine." In Parallel Robotic Machine Tools. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1117-9_10.

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Zhang, Dan. "Introduction." In Parallel Robotic Machine Tools. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1117-9_1.

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Zhang, Dan. "Kinematics of Mechanisms." In Parallel Robotic Machine Tools. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1117-9_2.

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Zhang, Dan. "Spatial Parallel Robotic Machines with Prismatic Actuators." In Parallel Robotic Machine Tools. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1117-9_5.

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Zhang, Dan. "Spatial Parallel Robotic Machines with Revolute Actuators." In Parallel Robotic Machine Tools. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1117-9_6.

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Conference papers on the topic "Machine-tools Robots"

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Kuts, Vladimir, Tauno Otto, Toivo Tähemaa, Khuldoon Bukhari, and Tengiz Pataraia. "Adaptive Industrial Robots Using Machine Vision." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86720.

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The use of industrial robots in modern manufacturing scenarios is a rising trend in the engineering industry. Currently, industrial robots are able to perform pre-programmed tasks very efficiently irrespective of time and complexity. However, often robots encounter unknown scenarios and to solve those, they need to cooperate with humans, leading to unnecessary downtime of the machine and the need for human intervention. The main aim of this study is to propose a method to develop adaptive industrial robots using Machine Learning (ML)/Machine Vision (MV) tools. The proposed method aims to reduce the effort of re-programming and enable self-learning in industrial robots. The elaborated online programming method can lead to fully automated industrial robotic cells in accordance with the human-robot collaboration standard and provide multiple usage options of this approach in the manufacturing industry. Machine Vision (MV) tools used for online programming allow industrial robots to make autonomous decisions during sorting or assembling operations based on the color and/or shape of the test object. The test setup consisted of an industrial robot cell, cameras and LIDAR connected to MATLAB through a Robot Operation System (ROS). The online programming tests and simulations were performed using Virtual/Augmented Reality (VR/AR) toolkits together with a Digital Twin (DT) concept, to test the industrial robot program on a digital object before executing it on the real object, thus creating a safe and secure test environment.
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Belda, Kvetoslav, and Pavel Novotny. "Path simulator for machine tools and robots." In 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR). IEEE, 2012. http://dx.doi.org/10.1109/mmar.2012.6347860.

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Joao, L., W. Karl-Heinz, and V. Alexander. "Industrial powerline communication for machine tools and industrial robots." In 2013 IEEE 17th International Symposium on Power Line Communications and its Applications (ISPLC). IEEE, 2013. http://dx.doi.org/10.1109/isplc.2013.6525876.

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Mohammadiasl, Ebrahim. "Vibration detection and backlash suppression in machine tools." In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iros.2009.5354660.

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Vick, Axel, Christian Horn, Martin Rudorfer, and Jorg Kruger. "Control of robots and machine tools with an extended factory cloud." In 2015 IEEE World Conference on Factory Communication Systems (WFCS). IEEE, 2015. http://dx.doi.org/10.1109/wfcs.2015.7160575.

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6

Freeman, Philip. "A Novel Means of Software Compensation for Robots and Machine Tools." In Aerospace Manufacturing and Automated Fastening Conference and Exhibition. SAE International, 2006. http://dx.doi.org/10.4271/2006-01-3167.

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7

Andre, P., M. C. Haddad, and C. Morlec. "Application of uniform cubic B-splines to machine tools and robots numerical control: determination of vertices under various constraints." In Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments. IEEE, 1991. http://dx.doi.org/10.1109/icar.1991.240500.

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8

Dumas, Claire, Stéphane Caro, Sébastien Garnier, and Benoît Furet. "Workpiece Placement Optimization of Six-Revolute Industrial Serial Robots for Machining Operations." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82559.

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Roboticists are faced with new challenges in robotic-based manufacturing. Up to now manufacturing operations that require both high stiffness and accuracy have been mainly realized by using computer numerical control machine tools. This paper aims to show that manufacturing finishing tasks can be performed with robotic cells knowing the process cutting phenomena and the robot stiffness throughout its Cartesian workspace. It makes sense that the finishing task of large parts would be cheaper with robots. However, machining robots have not been adapted for such operations yet. As a consequence, this paper introduces a methodology that aims to determine the best placement of the workpiece to be machined knowing the cutting forces exerted on the tool and the elastostatic model of the robot. In this vein, a machining quality criterion is proposed and an optimization problem is formulated. The KUKA KR270-2 robot is used as an illustrative example throughout the paper.
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9

"Active compensation of kinematic transmission errors in servo drives for machine tools and robots." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786532.

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Kumar, Shivesh, and Andreas Mueller. "An Analytical and Modular Software Workbench for Solving Kinematics and Dynamics of Series-Parallel Hybrid Robots." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97115.

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Abstract Parallel mechanisms are increasingly being used as modular subsystem units in various robots and man-machine interfaces for their superior stiffness, payload-to-weight ratio and dynamic properties. This leads to series-parallel hybrid robotic systems which are difficult to model and control due to the presence of various closed loops. Most model based kinematic and dynamic modeling tools resolve loop closure constraints numerically and hence suffer from inefficiency and accuracy issues. Also, they do not exploit the modularity in robot design. In this paper, we present a modular and analytical approach towards kinematic and dynamic modeling of series-parallel hybrid robots. This approach has been implemented in a software framework called Hybrid Robot Dynamics (HyRoDyn) and its application is demonstrated with the help of a series-parallel hybrid humanoid robot recently developed at DFKI-RIC.
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