Selection of Models for Research Workplace

2016 ◽  
Vol 844 ◽  
pp. 102-105
Author(s):  
Ľuboslava Šidlovská

A research center that is used to verify the identification of selected algorithms and methods for secure grip of components by industrial robot was created within the project of applied research at the department. It contributes to enhancing the effectiveness of palletizing - assembly cells.

2012 ◽  
Vol 186 ◽  
pp. 239-246
Author(s):  
Silviu Mihai Petrişor ◽  
Ghiţă Bârsan

The authors of this paper aim to highlight the basic design of a flexible manufacturing cell destined for the final processing of water radiators used for AAVs, cell serviced by a serial modular industrial robot possessing in its kinematic chain structure three degrees of freedom, RRT SIL type. The paper outlines the concept, calculation and design of the (MRB) rotation module at the studied industrial robot’s base and of the (MT) translation module of the prehension device attached to the robotic arm. Depending on the organological elements that are part of the MRB rotation module and based on a rigorous dynamic study performed on robotic modules, modeling conducted with the help of Lagrangian equations of the second kind, a dynamic-organological calculation algorithm was obtained for the selection of the appropriate driving servomotor necessary to putting the rotation movable system into service. The last part of the paper deals with the flexible manufacturing cell, together with the calculations related to profitability, economy and investment return duration, following the implementation of the RRT SIL-type industrial robot.


Author(s):  
Joanne Pransky

Purpose – The following paper is a “Q & A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned successful business leader, regarding the commercialization and challenges of bringing technological inventions to market while overseeing a company. The paper aims to discuss these issues. Design/methodology/approach – The interviewee is Dr Steve Cousins, a seasoned executive, entrepreneur and innovator with a strong track record for managing research and development organizations and realizing a significant return on investment. Dr Cousins has dedicated the past near-decade of his life to the mission of building and deploying personal and service robotic technology to assist people. In this interview, Dr Cousins discusses some of the technical and business insights that have led to his most recent robotic advancements as Chief Executive Officer (CEO) of Savioke, a company that is creating autonomous robot helpers for the services industry. Findings – Dr Cousins received his BS and MS degrees in computer science from Washington University, and holds a PhD in computer science from Stanford University. Dr Cousins managed the Advanced Systems Development Laboratory at the Xerox Palo Alto Research Center (PARC) and then went on to lead the IBM Almaden Research Center, one of the top human–computer interaction research groups in the world, as the Senior Manager of the User-Focused Systems Research Group. While at IBM, Dr Cousins earned a micro-MBA. Originality/value – Dr Cousins is spearheading a new business model for robotics, Robots as a Service (RaaS), with Savioke’s flagship mobile robot, Relay. Based on the information technology industry service trend of improving customer experiences, Savioke is successfully applying RaaS to the hospitality industry with about 10 Relays at half a dozen US major hotels. Before founding Savioke, Dr Cousins was the President and CEO of Willow Garage, where he oversaw the creation of the robot operating system (ROS), the PR2 robot and the open-source TurtleBot. In the last three years of his tenure at Willow Garage, Dr Cousins spun off eight successful companies: Suitable Technologies (maker of the Beam remote presence system); Industrial Perception, Inc. (acquired by Google in 2013); Redwood Robotics (acquired by Google in 2013); HiDOF (ROS and robotics consulting); Unbounded Robotics; The Open Source Robotics Foundation; The OpenCV Foundation; and The Open Perception Foundation. Dr Cousins is an active participant in the Robots for Humanity project.


AJS Review ◽  
2017 ◽  
Vol 41 (1) ◽  
pp. 1-7
Author(s):  
Eli Lederhendler

The collective discussion embodied in the following group of essays is the outgrowth of a three-year-long symposium on Jewish and urban studies conducted at the Hebrew University's Scholion Interdisciplinary Research Center in the Humanities and Jewish Studies from 2009 to 2012. The synergy that animated our weekly discussions owed something to the fact that, rather than chiming in on similar notes, we partook of a wide sampling of reading and analysis. We came from different disciplines, with different agendas: scholars of literary criticism, adepts of social theory, historians, cultural analysts, an expert in religious philosophy, and a landscape architect with a critical interest in the culture and politics of spatial construction. The broad sweep of our discussions was greater than will be evident from this selection of papers, since our circle of discussants continually swelled and altered during those three years, reshuffling the range of participants and topics. However, most of those whose work is represented in this sampling were present throughout the entire three-year project.


1984 ◽  
Vol 17 (1) ◽  
pp. 31-46 ◽  
Author(s):  
H. E. Le Grand

Jean Antoine Claude Chaptal was not only a chemical manufacturer and one of the first ‘industrial scientists’ but was also, according to his own testimony, one of the early supporters of Lavoisier's system of chemistry. It might be assumed that Chaptal's pioneering work in industrial chemistry was intimately linked with his acceptance of the oxygen system of chemistry; more specifically, that this theory served to direct and inform his applied research and contributed not a little to its success. Indeed, he himself in 1790 explicitly stated this to have been the case. A close study of his work prior to 1790 fails, however, to establish the importance of such a linkage. First, his selection of research topics proves to have owed little to the ‘new chemistry’ but much to the scientific and economic milieu of his province of Languedoc and of Montpellier, its administrative seat. Second, the significance of his acceptance of the ‘new chemistry’ appears rather problematic, not the least because of the rather hazy boundaries between the phlogistic and Lavoisian theories in the 1780s. Third, it is not clear from the evidence available how the new theory helped solve the various problems of industrial chemistry he faced, or could have done so, other than to offer alternative explanations for processes with which he was already familiar and indeed had often mastered. It will be suggested that it is precisely this less dramatic role which was filled by the new chemistry: that of ‘rectifying’ his ideas by providing alternative and more satisfactory rationalizations of his experiences and experiments in the laboratory and the factory, not that of enabling him to simplify and perfect old processes nor to invent new ones. To put the point more bluntly: Chaptal's early successes and reputation in industrial chemistry were not a by-product of his allegiance to the new chemistry; rather, his growing adherence to that system was a by-product of its ability to provide satisfactory post-hoc explanations of the chemical processes and products with which he was concerned.


Author(s):  
Alexandr Klimchik ◽  
Stéphane Caro ◽  
Anatol Pashkevich

The paper addresses a problem of the manipulator stiffness modeling, which is extremely important for the precise manufacturing of contemporary aeronautic materials where the machining force causes significant compliance errors in the robot end-effector position. The main contributions are in the area of the elastostatic parameters identification. Particular attention is paid to the practical identifiability of the model parameters, which completely differs from the theoretical one that relies on the rank of the observation matrix only, without taking into account essential differences in the model parameter magnitudes and the measurement noise impact. This problem is relatively new in robotics and essentially differs from that arising in geometrical calibration. To solve the problem, several physical and statistical model reduction methods are proposed. They are based on the stiffness matrix sparseness taking into account the physical properties of the manipulator elements and also on the heuristic selection of the practically non-identifiable parameters that employs numerical analyses of the parameter estimates. The advantages of the developed approach are illustrated by an application example that deals with the stiffness modeling of an industrial robot used in aerospace industry.


2016 ◽  
Vol 77 (4) ◽  
pp. 587-612 ◽  
Author(s):  
Daniel McNeish

In behavioral sciences broadly, estimating growth models with Bayesian methods is becoming increasingly common, especially to combat small samples common with longitudinal data. Although M plus is becoming an increasingly common program for applied research employing Bayesian methods, the limited selection of prior distributions for the elements of covariance structures makes more general software more advantages under certain conditions. However, as a disadvantage of general software’s software flexibility, few preprogrammed commands exist for specifying covariance structures. For instance, PROC MIXED has a few dozen such preprogrammed options, but when researchers divert to a Bayesian framework, software offer no such guidance and requires researchers to manually program these different structures, which is no small task. As such the literature has noted that empirical papers tend to simplify their covariance matrices to circumvent this difficulty, which is not desirable because such a simplification will likely lead to biased estimates of variance components and standard errors. To facilitate wider implementation of Bayesian growth models that properly model covariance structures, this article overviews how to generally program a growth model in SAS PROC MCMC and then demonstrates how to program common residual error structures. Full annotated SAS code and an applied example are provided.


2021 ◽  
Vol 17 (1) ◽  
pp. 4-8
Author(s):  
Maria Luz Antunes ◽  
Carlos Lopes ◽  
Tatiana Sanches

The APPsyCI, a Portuguese research center, decided to incorporate, in all its areas of activity, a research line within Open Science articulated with information literacy (IL). The Open Science assumptions were implemented through several actions: repository management, teacher and researcher training, support for choosing the journals where to publish, dissemination, and promotion of scientific knowledge within FAIR principles. The social and academic impact of the research line provides some light on the national landscape for research innovation and broadens horizons and sheds when combining IL with Open Science. Thus, the creation of this research line within the research center shows that the association of Open Science with IL can be considered as the path and object of applied research.


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