The Development of a Scale to Evaluate Trust in Industrial Human-robot Collaboration

Charalambous, George; Fletcher, Sarah; Webb, Philip

doi:10.1007/s12369-015-0333-8

Cited by 157 publications

(112 citation statements)

References 35 publications

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“…This does not bode well for industry given that, over the years, we have seen many examples where late or lacking integration of human factors has been detrimental to the operational success of new manufacturing technologies [15,16]. It is also not ideal for worker health and wellbeing given that we also know that the design of HRC systems can significantly impact on particular human psychological responses which may also ultimately affect performance, such as trust and acceptance [17,18]. It would obviously be preferable if these issues were understood and incorporated in system design.…”

Section: The Current Industrial Problemmentioning

confidence: 99%

Putting People and Robots Together in Manufacturing: Are We Ready?

Fletcher

Johnson

Larreina

2019

Robotics and Well-Being

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Traditionally, industrial robots have been completely segregated from people in manufacturing systems to mitigate the dangers posed by their operational speeds and heavy payloads. Putting human operators together with large-scale industrial robots is now becoming increasingly possible with the development of integrated safety monitoring systems, and with smaller force-limited robotics that are now being produced with sufficient robustness for industry. However, with long-standing perceptions of robots as hazardous, we do not yet know how manufacturing workforces will accept collaborative systems with either large or small scale robotics and there is a need to identify and define new ethical and safety standard requirements for integrating people and robots to work collaboratively in industrial assembly tasks. To date there is little or no attention to ethical issues or psychological safety in the industrial safety standards that govern robotics and automated work systems. This paper describes the current situation and specific ways in which human-robot collaboration will significantly improve efficiency and flexibility, and outlines some early work that is being performed to identify the requirements that will be needed in order to facilitate this new way of bringing people and robots together in manufacturing. It presents a brief summary of initial findings that support the need for ethical issues to be considered as a candidate for new and / or revised safety standards.

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Section: The Current Industrial Problemmentioning

confidence: 99%

Putting People and Robots Together in Manufacturing: Are We Ready?

Fletcher

Johnson

Larreina

2019

Robotics and Well-Being

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“…On the other hand, to quantify the efforts and the risk of damage over the person, ergonomic indicators are used [4], oriented on the one hand to restrict the task in relation to the measurement of efforts and movements on the joints; and on the other hand oriented to the task, which quantify the ability to perform certain actions comfortably. Another measure used in the human-robot collaboration is the confidence of the person towards the robot that determines the degree of autonomy of the robots, their efficiency and workload [5,6].…”

Section: Editorialmentioning

confidence: 99%

Ergonomics in the Industry 4.0: Collaborative Robots

Morgado¹

2017

J Ergonomics

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EditorialIndustry 4.0 is the emerging technological environment that encompasses the changes that occur in production processes and are related to the way in which elements and systems interact in the industry. Key concepts appear, such as Internet of Things, CyberPhysical Systems, Big Data, Autonomous and Collaborative Robots, among others. This new paradigm, which is nothing more than a natural evolution of industrial technological development, gives rise to new forms of interaction of people with machines and artificial systems. Therefore, new ergonomic aspects appear to be analyzed at this juncture.Collaborative Robotics deals with aspects related to the way robots work by sharing tasks with people. Traditionally, robots have worked in isolated cells carrying out welding, painting, machining or manipulation tasks, in order to be able to do it safely in relation to people, due to the danger of their rapid movement. In this sense, the collaborative robots are equipped with sensors and mechanisms that provide safe collision avoidance with people who share the same work environment or can react in case of collision minimizing possible damage. The use of a collaborative robot allows reducing the workload and fatigue of people relegating the robot in a shared task those efforts, gestures and movements that for the person may be harmful, or that cannot be performed with the precision and/or effectiveness required.The use of the collaborative robot to assist people in tasks where physical effort is necessary for the handling of heavy loads is being very useful to predict and minimize the work-related musculoskeletal disorders. The robot works as an assistant near the person and this entails to contemplate a multitude of safety considerations [1]. In these tasks, robot and person are working collaboratively sharing the task so that the robot transports the load keeping it floating and the person guides the load with very little effort. The robot assists the person not only minimizing efforts but also establishing prohibited zones or facilitating the appropriate trajectories to perform the task efficiently [2].When robot and person work sharing a load, a new, more complex human-robot system is formed, where human factors have a great weight in the system and new methodologies appears that contemplate them [3]. Modeling and simulation software of the human body is used to predict the interaction efforts that appear between human and robot, given the complexity of the kinematics of the human body. On the other hand, to quantify the efforts and the risk of damage over the person, ergonomic indicators are used [4], oriented on the one hand to restrict the task in relation to the measurement of efforts and movements on the joints; and on the other hand oriented to the task, which quantify the ability to perform certain actions comfortably. Another measure used in the human-robot collaboration is the confidence of the person towards the robot that determines the degree of autonomy of the robots, their efficiency and workloa...

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“…However, until recently, very little was known regarding trust development between humans and industrial robots. Charalambous, Fletcher and Webb [13] developed a trust measurement scale suitable for industrial HRC. Although full details on the methodology can be found at [13], a summary of the scale is provided in this section.…”

Section: Trust In Industrial Robotsmentioning

confidence: 99%

“…Charalambous, Fletcher and Webb [13] developed a trust measurement scale suitable for industrial HRC. Although full details on the methodology can be found at [13], a summary of the scale is provided in this section. The scale identified three key components (i.e.…”

Section: Trust In Industrial Robotsmentioning

confidence: 99%

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Development of a Human Factors Roadmap for the Successful Implementation of Industrial Human-Robot Collaboration

Charalambous

2016

Advances in Intelligent Systems and Computing

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The concept of industrial human-robot collaboration (HRC) is becoming increasingly integrated into manufacturing production lines as a means for enhancing productivity and product quality. However, developments have focused primarily on the technology and, until recently, little research has been geared to understand the key human factors (HF) that need to be considered to enable successful implementation of industrial HRC. Recent work by the authors has led to the identification of key organisational and individual level HF. The purpose of this paper is to draw together the evidence from their studies and propose a HF roadmap for the successful implementation of industrial HRC. The roadmap will have profound implications as it enables automation specialists and manufacturing system engineers to understand the key HF that need to be considered optimise the efficiency and productivity of the collaboration between humans and industrial robots.

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The Development of a Scale to Evaluate Trust in Industrial Human-robot Collaboration

Cited by 157 publications

References 35 publications

Putting People and Robots Together in Manufacturing: Are We Ready?

Putting People and Robots Together in Manufacturing: Are We Ready?

Ergonomics in the Industry 4.0: Collaborative Robots

Development of a Human Factors Roadmap for the Successful Implementation of Industrial Human-Robot Collaboration

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