Feasibility of integrating FES grasp assistance with a task-oriented robot-assisted therapy environment: A case study

2008 ◽  
Author(s):  
Dominic E. Nathan ◽  
Michelle J. Johnson ◽  
John McGuire
Keyword(s):  
Robot Assisted ◽  
Task Oriented

scholarly journals ESP Needs Analysis at the Moroccan University: Renewable Energy Engineering Students at EST Fes as a Case Study

2019 ◽  
Vol 4 (1) ◽  
pp. 101
Author(s):  
Hanae AIT HATTANI
Keyword(s):  
Renewable Energy ◽  
Teaching And Learning ◽  
English Language ◽  
Engineering Students ◽  
Language Education ◽  
Needs Analysis ◽  
Technological Advances ◽  
Task Oriented ◽  
Energy Engineering

<p>With English becoming the world’s lingua franca and the proliferating scientific and technological advances, English language education has been gradually shifting from its classical applications such as EFL (English as a foreign language) or ESL (English as a second language) toward new paradigms like English for specific purposes (ESP). The most important and problematic question in ESP teaching and learning is whether the course is effective or not. ESP is student-task oriented, thus, measuring its effectiveness is strongly related to measuring learners’ attitudes, needs, expectations, satisfaction, and achievement. For this purpose, this study attempted to investigate ESP needs analysis of Moroccan university students, case study of renewable energy engineering students at the Higher School of Technology (ESTF).  The research was conducted using quantitative surveys d. The data was gathered from 30 undergraduate renewable energy engineering students. The study findings confirmed that the participant students have highly favorable attitudes towards English language for both their personal and professional careers. However, the survey results indicated that these students have some difficulties with English language productive skills, namely speaking and writing, in addition to some other sub-skills. Therefore, this research suggests a reform at the level of ESP teaching and learning curricular, focusing on the incorporation of innovative approached and methods that aims at enhancing students’ language acquisition and competency.</p>

A semi-active milling procedure in view of preparing implantation beds in robot-assisted orthopaedic surgery

2005 ◽  
Vol 219 (3) ◽  
pp. 163-174 ◽  
Author(s):  
G Van Ham ◽  
K Denis ◽  
J Vander Sloten ◽  
R Van Audekercke ◽  
G Van der Perre ◽  
...  
Keyword(s):  
Robot Motion ◽  
Robot Assisted ◽  
Cavity Preparation ◽  
Feed Force ◽  
Robot Systems ◽  
Surface Irregularities ◽  
Robot Assistance ◽  
Set Up ◽  
Tool Motion

Bone cutting in total joint reconstructions requires a high accuracy to obtain a well-functioning and long-lasting prosthesis. Hence robot assistance can be useful to increase the precision of the surgical actions. A drawback of current robot systems is that they autonomously machine the bone, in that way ignoring the surgeon's experience and introducing a safety risk. This paper presents a semi-active milling procedure to overcome that drawback. In this procedure the surgeon controls robot motion by exerting forces on a force-controlled lever that is attached to the robot end effector. Meanwhile the robot constrains tool motion to the planned motion and generates a tool feed determined by the feed force that the surgeon executes. As a case study the presented milling procedure has been implemented on a laboratory set-up for robot-assisted preparation of the acetabulum in total hip arthroplasty. Two machining methods have been considered. In the first method the surgeon determines both milling trajectory and feed by the forces that he/she executes on the force-controlled lever. In the second method the cavity is machined contour by contour, and the surgeon only provides the feed. Machining experiments have shown that the first method results in large surface irregularities and is not useful. The second method, however, results in accurate cavity preparation and has therefore potential to be implemented in future robot systems.

Experiential Learning of Robotics Fundamentals Based on a Case Study of Robot-Assisted Stereotactic Neurosurgery

2016 ◽  
Vol 59 (2) ◽  
pp. 119-128
Author(s):  
Carlos Faria ◽  
Carolina Vale ◽  
Toni Machado ◽  
Wolfram Erlhagen ◽  
Manuel Rito ◽  
...  
Keyword(s):  
Experiential Learning ◽  
Stereotactic Neurosurgery ◽  
Robot Assisted

OP37 Impact On Uncertainty Of Disaggregating Cost Data

2019 ◽  
Vol 35 (S1) ◽  
pp. 8-9
Author(s):  
Conor Teljeur ◽  
Paul Carty ◽  
Máirín Ryan
Keyword(s):  
Cost Utility ◽  
Cost Data ◽  
Model Parameters ◽  
Robot Assisted ◽  
Total Cost ◽  
Uncertainty Set ◽  
The Cost ◽  
The Impact ◽  
Cost Components

IntroductionEconomic models contain several parameters ordinarily subject to uncertainty. Unlike most other model parameters, costs can constitute numerous distinct components. For example, a surgical intervention can require a variety of disposables and reusable equipment. A micro-costing output may be disaggregated or presented as a total cost. Uncertainty could be applied to individual cost components or to total cost. We aimed to explore how disaggregation of cost data may impact on uncertainty using a case study.MethodsA set of simulations using hypothetical scenarios were developed with uncertainty set at ± 20 percent. The simulations investigated the impact of number of cost components, balance between components, and correlation between them. A cost-utility model from an assessment of robot-assisted radical prostatectomy was analyzed; procedure cost was divided into 32 individual cost components or treated as a total cost.ResultsBased on five equal cost components, uncertainty reduces from ± 20 percent for correlated variables to ± 9 percent for uncorrelated variables. With increasing numbers of uncorrelated cost components, the uncertainty in the total cost decreases markedly. The uncertainty around total robot-assisted surgery procedure equipment costs was ± 19.7 percent when components were correlated and ± 9.4 percent when uncorrelated. The impact on uncertainty in the incremental cost effectiveness ratio (ICER) was negligible but the ranking of parameters in the univariate sensitivity analysis changed.ConclusionsAnalyzing uncertainty by aggregated or disaggregated costs can have implications for presenting uncertainty in costs to decision makers. Applying uncertainty to aggregated costs essentially implies that variation in the cost of individual components is perfectly correlated. By disaggregating cost components they are being treated as uncorrelated, which can substantially reduce uncertainty in the total cost. In this case study we found that although the reduction in uncertainty could be clearly seen in the cost parameter, it had a negligible impact on uncertainty in the ICER.

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