Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions

Bänziger, Timo; Kunz, Andreas; Wegener, Konrad

doi:10.1007/s10845-018-1411-1

Cited by 78 publications

(34 citation statements)

References 35 publications

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“…Barriers can only be overcome if one not only looks at the symptoms but also recognizes the causes [53]. The research draws attention to cultural differences in human-robot interaction [54] and asks to include cultural values to improve DT success [55]. Socially acceptable solutions have to be developed [7], [29] to overcome the worries of job loss [56], transparency [44], [57] and overstraining, as well as to increase the personal acceptance of DT technologies.…”

Section: Results Phase II -Research Agenda For Dtmentioning

confidence: 99%

See 1 more Smart Citation

Barriers to Digital Transformation in Manufacturing: Development of a Research Agenda

Vogelsang¹,

Liere-Netheler²,

Packmohr³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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Digital Transformation (DT) is expected to have a massive impact on different branches and even societies. In the manufacturing industry, value creation processes change as information and communication technologies merge with production processes. The change may enable efficiency gains and new business models. However, many firms still struggle to drive their digital transformation forward. To understand the barriers which hinder or even stop DT is essential for the successful transformation. Our study aims at identifying the barriers on the basis of 46 expert interviews. These practical insights are further used to develop a research agenda. To determine the research gaps, we conduct a literature review on the topics mentioned by the interviewees. Thus, we contribute by first of all identifying major barriers which can support firms by reflecting their DT. Moreover, we give an outlook for researchers on possible future exploration. So, we bring together perspectives from research and practice.

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Section: Results Phase II -Research Agenda For Dtmentioning

confidence: 99%

“…More interdisciplinary cooperation between research and industry is motivated [68], [70]. The definition and application of standards could lead to safety improvements [52], [54]. Others see the threat by giving access to the own database when common interfaces are used [10], [17], [71].…”

Section: Results Phase II -Research Agenda For Dtmentioning

confidence: 99%

Barriers to Digital Transformation in Manufacturing: Development of a Research Agenda

Vogelsang¹,

Liere-Netheler²,

Packmohr³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…Relationships among the timelines are managed by a set of domain rules (also known as compatibilities) that incorporate explicit constraints on the parameters of the states. Despite PDDL-based methods, timelinebased approaches [122,204,15] rely on an explicit representation of time and its temporal constraints, allowing the simultaneous resolution of planning and scheduling problems while taking into account coordinated and synchronous tasks as well as temporal flexibility and uncertainty.…”

Section: Task Planning and Schedulingmentioning

confidence: 99%

Symbiotic human-robot collaborative assembly

et al. 2019

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In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions.

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“…Therefore, the third part of each chromosome is variable. However, joint angular velocities are defined as a constant in [20][21][22][23][24][25][26]41], leading to joint trajectories being depicted with the linear functions, and the third part of each chromosome being depicted with a constant. In AL2, joint angular velocity is defined as 0.8 rad/s (45.8 deg/s) [41].…”

Section: Comparisonsmentioning

confidence: 99%

“…In [23], each chromosome consists of three parts, the waypoint sequence, the sequence of joint configurations, and the robot placement. The technique of dividing each chromosome into several parts was also employed in [24][25][26]. A common point of IGAs in [22][23][24][25][26] is that the parameter denoting the joint angular velocity is predefined as a constant.…”

Section: Introductionmentioning

confidence: 99%

Multitask-Based Trajectory Planning for Redundant Space Robotics Using Improved Genetic Algorithm

2019

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This work addresses the multitask-based trajectory-planning problem (MTTP) for space robotics, which is an emerging application of successively executing tasks in assembly of the International Space Station. The MTTP is transformed into a parameter-optimization problem, where piecewise continuous-sine functions are employed to depict the joint trajectories. An improved genetic algorithm (IGA) is developed to optimize the unknown parameters. In the IGA, each chromosome consists of three parts, namely the waypoint sequence, the sequence of the joint configurations, and a special value for the depiction of the joint trajectories. Numerical simulations, including comparisons with two other approaches, are developed to test IGA validity.

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Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions

Cited by 78 publications

References 35 publications

Barriers to Digital Transformation in Manufacturing: Development of a Research Agenda

Barriers to Digital Transformation in Manufacturing: Development of a Research Agenda

Symbiotic human-robot collaborative assembly

Multitask-Based Trajectory Planning for Redundant Space Robotics Using Improved Genetic Algorithm

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