Automation

Groover, Mikell P.

doi:10.1002/9780470172452.ch1

Cited by 12 publications

(9 citation statements)

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“…First introduced into factories in the 1960s [1], robotic systems have gained a foothold in the manufacturing world, particularly in the automotive industry. More recently, collaborative robots created to work side by side with humans are transforming the world of traditional robotics and production facilities [2,3].…”

Section: Introductionmentioning

confidence: 99%

Development of a Collaborative Robotic Platform for Autonomous Auscultation

2023

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Listening to internal body sounds, or auscultation, is one of the most popular diagnostic techniques in medicine. In addition to being simple, non-invasive, and low-cost, the information it offers, in real time, is essential for clinical decision-making. This process, usually done by a doctor in the presence of the patient, currently presents three challenges: procedure duration, participants’ safety, and the patient’s privacy. In this article we tackle these by proposing a new autonomous robotic auscultation system. With the patient prepared for the examination, a 3D computer vision sub-system is able to identify the auscultation points and translate them into spatial coordinates. The robotic arm is then responsible for taking the stethoscope surface into contact with the patient’s skin surface at the various auscultation points. The proposed solution was evaluated to perform a simulated pulmonary auscultation in six patients (with distinct height, weight, and skin color). The obtained results showed that the vision subsystem was able to correctly identify 100% of the auscultation points, with uncontrolled lighting conditions, and the positioning subsystem was able to accurately position the gripper on the corresponding positions on the human body. Patients reported no discomfort during auscultation using the described automated procedure.

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Section: Introductionmentioning

confidence: 99%

Development of a Collaborative Robotic Platform for Autonomous Auscultation

2023

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“…Modern societies depend every day to a greater extent on the use of intelligent automated or semiautomated technologies to, e.g., drive productivity in assembly lines, control communication systems, perform surveillance, and process large volumes of fnancial transactions [1]. With the advent of artifcial intelligence paradigms, automated decision-making (ADM) systems began to undergo considerable development, and they are currently being deployed in public and private sectors.…”

Section: Introductionmentioning

confidence: 99%

An ε‐Constraint Method for Multiobjective Linear Programming in Intuitionistic Fuzzy Environment

Pérez‐Cañedo

Verdegay

2023

International Journal of Intelligent Systems

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Effective decision-making requires well-founded optimization models and algorithms tolerant of real-world uncertainties. In the mid-1980s, intuitionistic fuzzy set theory emerged as another mathematical framework to deal with the uncertainty of subjective judgments and allowed to represent hesitancy in a decision-making problem. Nowadays, intuitionistic fuzzy multiobjective linear programming (IFMOLP) problems are a topic of extensive research, for which a considerable number of solution approaches are being developed. Among the available solution approaches, ranking function-based approaches stand out for their simplicity to transform these problems into conventional ones. However, these approaches do not always guarantee Pareto optimal solutions. In this study, the concepts of dominance and Pareto optimality are extended to the intuitionistic fuzzy case by using lexicographic criteria for ranking triangular intuitionistic fuzzy numbers (TIFNs). Furthermore, an intuitionistic fuzzy ε-constraint method is proposed to solve IFMOLP problems with TIFNs. The proposed method is illustrated by solving two intuitionistic fuzzy transportation problems addressed in two studies (S. Mahajan and S. K. Gupta’s, “On fully intuitionistic fuzzy multiobjective transportation problems using different membership functions,” Ann Oper Res, vol. 296, no. 1, pp. 211–241, 2021, and Ghosh et al.’s, “Multiobjective fully intuitionistic fuzzy fixed-charge solid transportation problem,” Complex Intell Syst, vol. 7, no. 2, pp. 1009–1023, 2021). Results show that, in contrast with Mahajan and Gupta’s and Ghosh et al.’s methods, the proposed method guarantees Pareto optimality and also allows to obtain multiple solutions to the problems.

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“…The automation of people's roles at work brings changes to their lives (Groover, 2019). These include increased effectiveness and efficiency in their work, potentially saving money and time for the employing organisation, as well as providing gains in productivity, and consistency of output.…”

Section: Introductionmentioning

confidence: 99%

Stuck in Limbo with Magical Solutions: The Testers’ Lived Experiences of Tools and Automation

Evans

Porter

Micallef

et al. 2020

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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The automation of people's roles at work brings changes to their lives and work, bringing advantages of increased effectiveness and efficiency, yet potentially life-changing effects, including redundancy. The software industry's purpose is to automate people's tasks and activities, and this applies also to jobs within the software industry, including teams who specialise in testing software. Test automation projects are not always successful, and our research initially set out to discover whether the challenges were usability-related, and whether HCI methods could help improve tools. We discovered a much richer story, which told of emotional stresses and life experiences within the software testing community. We discuss how automation, with all its benefits, affects motivation, causing disassociation of testers from their roles, and affecting their job-task mix. We show reasons why software test automation affects testers. Finally, we set out our position for our research about the lived experience of software testers using automation, which we are calling TX: The Testers' Lived Experiences of Tools and Automation, and argue that the effect of automation and tooling on testers' lived experience and its effect on their motivation is an area of study worthy of research.

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Automation

Cited by 12 publications

References 0 publications

Development of a Collaborative Robotic Platform for Autonomous Auscultation

Development of a Collaborative Robotic Platform for Autonomous Auscultation

An ε‐Constraint Method for Multiobjective Linear Programming in Intuitionistic Fuzzy Environment

Stuck in Limbo with Magical Solutions: The Testers’ Lived Experiences of Tools and Automation

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