Human–robot collaboration in industrial applications

Maurtua, Iñaki; Ibarguren, Aitor; Kildal, Johan; Susperregi, Loreto; Sierra, Basilio

doi:10.1177/1729881417716010

Cited by 182 publications

(116 citation statements)

References 19 publications

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“…Besides the implementation itself, organizations must keep ensuring a safe work environment for their employees. This will require greater attention to safety features when choosing the robots and the integration of health and safety management practices [13,46]. Ultimately, the work that addressed managerial implication the most specifically comes from Charalambous and his collaborators [8,45].…”

Section: Figure 1 Classification By Publication Datesmentioning

confidence: 99%

Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption

Libert¹,

Mosconi²,

Cadieux³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The shift towards human-robot collaboration (HRC) has the potential to increase productivity and sustainability, while reducing costs for the manufacturing industries. Indeed, it holds great potential for workplaces, allowing individuals to forsake repetitive or physically demanding jobs to focus on safer and more fulfilling ones. Still, integration of humans and machines in organizations presents great challenges to IS scholars due to the complexity of aligning digitalization and human resources. A knowledge gap does persist about organizational implications when it comes to implement collaborative robotics in the workplace and to support proper HRC. Thus, this paper aims to identify recommended human resources management (HRM) practices from previous research about human-robot interaction (HRI). As our results highlight that few studies attempted to fill the gap, a conceptual framework is proposed. It integrates HRM practices, technology adoption dimensions and main determinants of HRC, in the objective to support collaborative robotics implementation in organizations.

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Section: Figure 1 Classification By Publication Datesmentioning

confidence: 99%

Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption

Libert¹,

Mosconi²,

Cadieux³

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…The proposed solution is made possible thanks to the emerging of new technologies, founded on Cyber Physical Systems, that allow nowadays the easy reprogramming of collaborative robots, the real time monitoring of robot conditions and the prompt interaction between human and robot. Examples of these technologies have been developed in the research projects FourByThree2 and Symbiotic [36,37].…”

Section: Related Workmentioning

confidence: 99%

Dynamic distribution of assembly tasks in a collaborative workcell of humans and robots

Antonelli¹,

Bruno²

2019

FME Transactions

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Collaborative robots belong to the enabling technologies of Industry 4.0. They allow the setup of semi-automatic workcells where robots and humans collaborate in the execution of complex tasks, with unprecedented flexibility if compared with standard robotic cells. This paper addresses some of the many issues that arise from introducing in the factory, not only a new workcell, but also a new working paradigm. The study considers the introduction of collaborative robots in a small production workcell. To increase the chances of success of the new cell, it proposes a method for firstly assigning tasks to human and robotics operators, based on the task characteristics and operator abilities, and then dynamically reassigning tasks to overcome disturbances or delays at the shop floor level. The justification of the method is that outages are frequent in small nonstandardized productions, therefore offline optimized task assignment could be ineffective. The method is tested against an industrial case study and the results are discussed.

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“…In this case, even though there was an exchange of force, unlike in our work, the robot just remained stiff and did not use the force based information to adapt its state. Maurtua et al [12] described a set of experiments aimed at measuring the trust of workers on fenceless human-robot industrial collaborative applications. In all the experiments, the force was undesired; thus, the robot stopped when an external force was detected.…”

Section: Related Workmentioning

confidence: 99%

On Inferring Intentions in Shared Tasks for Industrial Collaborative Robots

2019

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Inferring human operators’ actions in shared collaborative tasks plays a crucial role in enhancing the cognitive capabilities of industrial robots. In all these incipient collaborative robotic applications, humans and robots not only should share space, but also forces and the execution of a task. In this article, we present a robotic system that is able to identify different human’s intentions and to adapt its behavior consequently, only employing force data. In order to accomplish this aim, three major contributions are presented: (a) a force based operator’s intention recognition system based on data from only two users; (b) a force based dataset of physical human–robot interaction; and (c) validation of the whole system with 15 people in a scenario inspired by a realistic industrial application. This work is an important step towards a more natural and user-friendly manner of physical human–robot interaction in scenarios where humans and robots collaborate in the accomplishment of a task.

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Human–robot collaboration in industrial applications

Cited by 182 publications

References 19 publications

Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption

Human-Machine Interaction and Human Resource Management Perspective for Collaborative Robotics Implementation and Adoption

Dynamic distribution of assembly tasks in a collaborative workcell of humans and robots

On Inferring Intentions in Shared Tasks for Industrial Collaborative Robots

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