Human-centred Adaptation and Task Distribution utilizing Levels of Automation

Chen, Xiaoli; Bojko, Michael; Riedel, Ralph; Apostolakis, Konstantinos C.; Zarpalas, Dimitris; Daras, Petros

doi:10.1016/j.ifacol.2018.08.234

Cited by 7 publications

(6 citation statements)

References 6 publications

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“…Longo et al [69] have further developed a voice-enabled assistant (using smartphones) to help the "Operator 4.0" in asking for information from a single CPS. • Chen et al [101] developed an engine that captures the production plan and transforms and adapts it to the skills and experience of the involved users to improve factory effectiveness and human satisfaction. • Gnewuch et al [102] made some experiments to evaluate the effects of how pre-designed delays in the conversation between users and systems could positively shape users' perceptions during conversations with software bots.…”

Section: Related Workmentioning

confidence: 99%

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Rabelo¹,

Zambiasi²,

Romero³

2023

Int J Ind Eng Manag

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This paper presents the results of a research work that aimed at investigating the usage of softbots -as digital intelligent software assistants -as a supporting technology to help in excelling smart production management composed of cyber-physical systems (CPS). This work also attempts to differentiate the many equivalent terms used in the literature to softbots, trying to demonstrate that all of them are just types of softbots. Softbots 4.0 acts as a smart humanmachine interface, representing a digital virtual assistant to handle human-related issues when implementing the concept of Operator 4.0. Yet, the concept of Softbot 4.0 is framed against the RAMI 4.0 model in a way to show how it can also be taken as an (intelligent) manufacturing entity. The main goal of Softbots 4.0 is to support the Operator 4.0 in interfacing with smart machines, robots, and systems, aiding people in the automatic, planned or pro-active execution of different, repetitive or complex tasks, efficiently in a more symbiotic human-machine environment. Five different cases have been selected for the assessment, implemented as software prototypes in different production management and shop floor control scenarios close to real CPS. The high potential of the softbots approach could be observed, especially when combined with other enabling technologies for Industry 4.0. A global assessment and reflections on these experiments are discussed at the end.

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Section: Related Workmentioning

confidence: 99%

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Rabelo¹,

Zambiasi²,

Romero³

2023

Int J Ind Eng Manag

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“…Adaptive task sheets 1) Adaptation to skills and experience of the operator through a task distribution strategy based on levels of automation [171] centralized manufacturing systems such as the relationships between the factory layout planning, production scheduling, and human-robot work distribution [168]. Another similar solution is based on developing an algorithmic safety set of measures for intelligent industrial collaborative robotics applications based on a modularized parallel controller structure to solve the motion planning and control problem in a human involved environment [169].…”

Section: Task and Operation Optimization Techniquementioning

confidence: 99%

“…A solution of this type exposes a human-centered adaptation and task distribution strategy for industrial setups based on levels of automation. The adaptation in this occasion finds the skills and experience of the operator to adapt the production levels to it [171]. This challenge's solutions pretends to improve the performance methods exposed in the task scheduling and management challenge.…”

Section: Task and Operation Optimization Techniquementioning

confidence: 99%

Human-Robot Interaction Review: Challenges and Solutions for Modern Industrial Environments

et al. 2021

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The demand for collaborative robots is growing in industrial environments due to their versatility and low prices. Thus, more collaborative solutions are emerging for industrial scenarios. However, implementing scenarios where robots work autonomously while synchronizing their operations in a safe industrial environment with shop-floor workers is not easy. To fill the gap existing in the safe implementation of industrial collaborative scenarios, this manuscript presents a review based on five identified challenges that gathers the primary vital aspects to bear in mind while developing applications for them. Thus, a four-level classification is proposed, which collects the identified challenges and the previous developments in the field of human-robot interaction. The five identified challenges pretends to be the missing enabling key for implementing industrial collaborative scenarios in modern industrial plants. Lastly, a discussion and conclusion are exposed to analyze the degree of development in the field and its potential growth.

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“…Longo et al [19] implemented a framework to support the interaction of humans with physical equipment and their digital twins. Chen et al [20] developed an engine that adapts production plans to the skills and experience of workers aiming at improving factory efficiency as well as human satisfaction.…”

Section: Related Workmentioning

confidence: 99%

Production Management as-a-Service: A Softbot Approach

Abner¹,

Rabelo²,

Zambiasi³

et al. 2020

IFIP Advances in Information and Communication Technology

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Production management involves many activities. In order to deal with Industry 4.0 requirements, many systems have developed solutions to gather realtime information from the shopfloor for more reliable decision-making. Empirical studies have been showing that this has created a tremendous overload of information to be handled by managers, causing stress, incorrect analyses and sometimes guessing-based decision-making, especially in SMEs. Using data analytics and maturity models concepts, this work shows Livia, a softbot with chatting capabilities. Deployed in a cloud and working on companies' shopfloor information got via a MES system, Livia helps managers to identify their main problems, suggests corrective actions, and proactively performs many supporting actions. Results are presented and discussed in the end.

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Human-centred Adaptation and Task Distribution utilizing Levels of Automation

Cited by 7 publications

References 6 publications

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Human-Robot Interaction Review: Challenges and Solutions for Modern Industrial Environments

Production Management as-a-Service: A Softbot Approach

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