Virtual human modeling for interactive assembly and disassembly operation in virtual reality environment

Qiu, Shijing; Fan, Xiumin; Wu, Di; He, Qi; Zhou, Deji

doi:10.1007/s00170-013-5207-3

Cited by 41 publications

(11 citation statements)

References 18 publications

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“…Related to VM, VA permits the assembly and disassembly of virtual objects (Qiu et al, 2013). VA allows the evaluation of worker's well-being and health and safety measures due to the possibility of creating virtual representations of workplaces.…”

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confidence: 99%

Future directions for the development of virtual reality within an automotive manufacturer

2016

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2Jaguar Land Rover, Virtual Innovation Centre (VIC) (bwaterf1@jaguarlandrover.com) Abstract. Virtual Reality (VR) can reduce time and costs, and lead to an increase in quality, in the development of a product. Given the pressure on car companies to reduce time-to-market and to continually improve quality the automotive industry has championed the use of VR across a number of applications, including design, manufacturing, and training. This paper describes interviews with 11 stakeholders from an automotive manufacturer about their current physical and virtual properties and processes. The results guided a review of research findings and scientific advances from the academic literature, which formed the basis of recommendations for future developments of VR technologies and applications. These include: develop a greater range of virtual contexts; use multi-sensory simulation; address perceived differences between virtual and real cars; improve motion capture capabilities; implement networked 3D technology; and use VR for market research.

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confidence: 99%

Future directions for the development of virtual reality within an automotive manufacturer

2016

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“…According to the authors, environmental and process related parameters in real life play a crucial role in the implementation of such systems. This is also addressed by [26].…”

Section: A Rozo Etalmentioning

confidence: 94%

Characterizing the State of the Art of Human-Robot Coproduction

2015

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Abstract-It is expected that soon, systems consisting of a blend of humans and robots be devised in such a way that higher productivities will be achieved. The main enabler for this is expected to be the possibility of collaboration between workers and robots. HRI (Human Robot Interaction) is the field in which such phenomena are studied. A growing number of investigators treat the collaboration of robots and workers (humans) in many contexts, however attention towards the manufacturing industry is predominantly focused on full automation of human tasks. Industrial robots have long been unsafe to work in close vicinity to workers due to their duty to be fast and powerful. However, nowadays, with the drive from emerging technologies, this is changing. Safe worker-robot collaborations are beginning to take shape and the HRI community is beginning to study such scenarios. Despite being a very effective form of interaction, a key research question is whether collaboration is a suitable mode of interaction for manufacturing environments. To be able to address this question, we found a collection of ten workerrobot systems that constitute a first step in outlining coproduction characteristics. This collection allowed us to identify differences in task initiative and product handling and component handling, while we frame coproduction as an extension of man. Challenges that require additional attention are workflow planning and defining proper performance indicators. We conclude with the fact that, although the worker-robot collaboration systems are inspiring and redefine labor, no sufficient knowledge or tools exists to reproduce such qualities in different manufacturing settings. Further work will be focused on modeling and assessing the performance and bottlenecks of systems based on novel robotic systems.

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“…Using motion tracking data from an automobile assembly workstation, digital models were generated and used for the evaluation of manual tasks and improvements in the ergonomics of the associated workplace. Similar research [52] was conducted by the use of MoCap and modeling human performance in the assembly and disassembly of car engine's connecting rod caps. A low-cost stereo-vision system [53] was developed with multiple Wii remote controllers for MoCap and the generation of a simulation of an assembly task.…”

Section: Motion Capture Applicationsmentioning

confidence: 95%

Automated Coordinate Measuring Machine Inspection Planning Knowledge Capture and Formalization

Anagnostakis

Ritchie

Lim

et al. 2018

Journal of Computing and Information Science in Engineering

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Capturing the strategy followed during a coordinate measuring machine (CMM) inspection planning session has been an extremely challenging issue due to the time-consuming nature of traditional methods, such as interviewing experts and technical documents data mining. This paper presents a methodology demonstrating how a motion capture-based system can facilitate direct and nonintrusive CMM operator logging for capturing planning strategies and representing in knowledge formats. With the use of recorded motion data, embedded knowledge and expertise can be captured automatically and formalized in various formats such as motion trajectory graphs, inspection plans, integrated definition (IDEF) model diagrams, and other representations. Additionally, a part program can be generated for driving a CMM to execute component measurement. The system's outputs can be used to help understand how a CMM inspection strategy is planned, as well as training aids for inexperienced operators and the rapid generation of part programs.

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Virtual human modeling for interactive assembly and disassembly operation in virtual reality environment

Cited by 41 publications

References 18 publications

Future directions for the development of virtual reality within an automotive manufacturer

Future directions for the development of virtual reality within an automotive manufacturer

Characterizing the State of the Art of Human-Robot Coproduction

Automated Coordinate Measuring Machine Inspection Planning Knowledge Capture and Formalization

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