A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities

Wellmann, Christian; Stierle, Matthias; Dunzer, Sebastian; Matzner, Martin

doi:10.1007/978-3-030-58779-6_14

Cited by 18 publications

(13 citation statements)

References 21 publications

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“…The stroke of the actuator (100 mm) has been selected to compensate for relative motion between the device and the patient's body. The actuator is controlled by a Simulink R (MathWorks Inc., Natick, MA, USA) operated real-time target machine (Speedgoat Inc., Natick, MA, USA) and a single-axis servo controller (SLVD1N, Parker Hannifin Corp., Cleveland, OH, USA), and triggered through a pushbutton (5). The contact force is monitored by a calibrated load-cell sensor (2).…”

Section: Mpc Application To Dynamic Posturographymentioning

confidence: 99%

“…In recent years, cooperative robotic systems have spread not only in industrialized environments, such as in Industry 4.0 [1][2][3][4] but in everyday life. Automated machines have become more compact and affordable to the general end-user, encouraging a renewed trust towards robotics in business [5], automotive [6], home care [7], and healthcare [8,9]. In addition, more dedicated design choices enable efficient yet intuitive physical human-machine interaction (pHMI) [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Contact force regulation in physical human-machine interaction based on model predictive control

Pacheco Quiñones,

Paterna,

De Benedictis

et al. 2023

Robotica

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With increasing attention to physical human-machine interaction (pHMI), new control methods involving contact force regulation in collaborative and coexistence scenarios have spread in recent years. Thanks to its internal robustness, high dynamic performance, and capabilities to avoid constraint violations, a Model Predictive Control (MPC) action can pose a viable solution to manage the uncertainties involved in those applications. This paper uses an MPC-driven control method that aims to apply a well-defined and tunable force impulse on a human subject. After describing a general control design suitable to achieve this goal, a practical implementation of such a logic, based on an MPC controller, is shown. In particular, the physical interaction considered is the one occurring between the body of a patient and an external perturbation device in a dynamic posturography trial. The device prototype is presented in both its hardware architecture and software design. The MPC-based main control parameters are thus tuned inside hardware-in-the-loop and human-in-the-loop environments to get optimal behaviors. Finally, the device performance is analyzed to assess the MPC algorithm’s accuracy, repeatability, flexibility, and robustness concerning the several uncertainties due to the specific pHMI environment considered.

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Section: Mpc Application To Dynamic Posturographymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Contact force regulation in physical human-machine interaction based on model predictive control

Pacheco Quiñones,

Paterna,

De Benedictis

et al. 2023

Robotica

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“…The reason is that the companies in these industries have many repetitive administrative processes, thus, using RPA provides large cost-saving potential. Processes which are standardized, routinized and have a high and predictable volume, among other criteria, are considered to be most appropriate for the application of RPA (Osmundsen et al, 2019;Wellmann et al, 2020), hence the identification of suitable processes is pivotal for a successful application (Bourgouin et al, 2018). Van der Aalst et al (2018) also state that the main motivation of companies using RPA is achieving a high return on investment by way of increased efficiency of administrative operational processes and hence reduced costs (Ng et al, 2021;Rizk et al, 2020;Syed et al, 2020aSyed et al, , 2020b.…”

Section: Robotic Process Automationmentioning

confidence: 99%

Skills and competencies for digital transformation – a critical analysis in the context of robotic process automation

Schlegel

Kraus

2021

IJOA

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Purpose Digital transformation of organizations has major implications for required skills and competencies of the workforce, both as a prerequisite for implementation, and, as a consequence of the transformation. The purpose of this study is to analyze required skills and competencies for digital transformation using the context of robotic process automation (RPA) as an example. Design/methodology/approach This study is based on an explorative, thematic coding analysis of 119 job advertisements related to RPA. The data was collected from major online job platforms, qualitatively coded and subsequently analyzed quantitatively. Findings The research highlights the general importance of specific skills and competencies for digital transformation and shows a gap between available skills and required skills. Moreover, it is concluded that reskilling the existing workforce might be difficult. Many emerging positions can be found in the consulting sector, which raises questions about the permanent vs temporary nature of the requirements, as well as the difficulty of acquiring the required knowledge. Originality/value This paper contributes to knowledge by providing new empirical findings and a novel perspective to the ongoing discussion of digital skills, employment effects and reskilling demands of the existing workforce owing to recent technological developments and automation in the overall context of digital transformation.

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“…RPA can be defined as 'a preconfigured software instance that uses business rules and predefined activity choreography to complete the autonomous execution of a combination of processes, activities, transactions, and tasks in one or more unrelated software systems to deliver a result or service with human exception management' (IEEE Corporate Advisory Group, 2017: 11). In short, RPA automates repetitive and monotonous tasks by configuring software agents, known as software robots or 'bots', with clearly defined rules to mimic the actions of a human employee (Wellmann et al, 2020). Since RPA is a relatively new phenomenon, the literature is currently nascent and has mostly focused on its technical capabilities (Syed et al, 2020) or potential and realised organisational benefits (Lacity and Willcocks, 2016a).…”

Section: Introductionmentioning

confidence: 99%

When Harry, the human, met Sally, the software robot: Metaphorical sensemaking and sensegiving around an emergent digital technology

Techatassanasoontorn

Waizenegger

Doolin

2023

Journal of Information Technology

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Robotic process automation (RPA) is often used in organisational digitalisation efforts to automate work processes. RPA, and the software robots at its heart, is an equivocal and contentious technology Adopting the products of theorising approach, this study views metaphors as central sensemaking and sensegiving devices that shape the interpretation of RPA among stakeholders towards a preferred reality of ways of seeing and experiencing software robots. The empirical materials are drawn from research in three Australasian organisations that have implemented RPA. Grounding our analysis in the domains-interaction model, we identified three root metaphors: person, robot, and tool, their constitutive conceptual metaphors, and intended use as heuristics devices. Our findings show that metaphor is a powerful device that employees rely on to make sense of their experiences with a new digital technology that can potentially shape their roles, work practices and job design. In addition, managers and automation team members intentionally leverage metaphors to shape others’ perceptions of a software robot’s capabilities and limitations, its implication for human work, and its expanding benefits for organisations over time, among others. Metaphor as a precursor to more formal theory provides scholars with a vocabulary to understand disparate experiences with an emergent automation technology that can be further developed to generate a theory of seeing automation and working with automated agents.

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A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities

Cited by 18 publications

References 21 publications

Contact force regulation in physical human-machine interaction based on model predictive control

Contact force regulation in physical human-machine interaction based on model predictive control

Skills and competencies for digital transformation – a critical analysis in the context of robotic process automation

When Harry, the human, met Sally, the software robot: Metaphorical sensemaking and sensegiving around an emergent digital technology

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