Virtual Teaching for Assembly Tasks Planning

Angleraud, Alexandre; Codd-Downey, Robert; Netzev, Metodi; Houbre, Quentin; Pieters, Roel

doi:10.1109/ichms49158.2020.9209478

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…Robot vision is often supported by attaching a fiducial marker to each object (e.g. [302], [303], [311], [312]) or by using distinctly coloured objects for more robust segmentation (e.g. [7], [10], [25], [223]).…”

Section: Discussionmentioning

confidence: 99%

“…As discussed in Section IV-E, these problems can be reduced by shifting experiments into virtual spaces. In case of user studies with physical demonstrators, synthetic tasks offer further beneficial properties also with regard to reproducibility: Product mock-ups can easily be made with 3D printers [25], [72], [219], [302], [311], [312], [315] which are a broadly available resource in the meantime. Unfortunately, prior publications with interesting model sets are not always accompanied by the required CAD models (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Other exemplary tasks are gear meshing and gearboxes [72], [219], electrical circuitry [310], a jet engine mock-up [315], bicycle subassembly [314], sanding machine [313], or flange assembly from metal parts and standard screws [12]. In addition to these tasks created by abstracting systematically from real products and production processes, fully synthetic tasks such as the Cranfield Benchmark [312], Bourjault's Pen [311], or simple 3-component products [222] have been used.…”

Section: B Tasks Used In Joint Action Experimentsmentioning

confidence: 99%

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Benchmarking Teamwork of Humans and Cobots—An Overview of Metrics, Strategies, and Tasks

2023

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Human-robot teaming receives an ever-increasing level of attention in research, development and industry. Novel approaches to task sharing in hybrid teams range from optimized schedules to intelligent cobot assistants with a high degree of autonomy. These approaches must prove their usefulness and benefits compared to manual work or full automation -particularly when it comes to assessing their potential for productive industrial use. This leverages demand for standardized, repeatable benchmarks to compare approaches and measure improvements in a reproducible way. Designing such benchmarks is challenging as numerous aspects, from safety considerations to human factors and team performance, must be considered. This survey seeks to contribute to the future development of benchmarks for the field of collaborative assembly, handling, and industrial cobot applications by giving a comprehensive overview of relevant metrics, evaluation strategies, and tasks for human-robot teams.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: B Tasks Used In Joint Action Experimentsmentioning

confidence: 99%

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Benchmarking Teamwork of Humans and Cobots—An Overview of Metrics, Strategies, and Tasks

2023

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“…Angleraud et al provide virtual teaching for unskilled workers to perform actions with high effectiveness and established knowledge transfer with robot to perform actions collaboratively (Angleraud et al , 2020). Yiqun Kuang et al proposed advanced gesture recognition system with 30 different vocabularies and ASUS xtion pro live RGB-D camera is equipped to Robot operating system.…”

Section: Human–robot Interaction For Industrial Applicationsmentioning

confidence: 99%

Challenges and opportunities in human robot collaboration context of Industry 4.0 - a state of the art review

Inkulu¹,

Bahubalendruni²,

Ashok³

et al. 2021

129

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Purpose In the present era of Industry 4.0, the manufacturing automation is moving toward mass production and mass customization through human–robot collaboration. The purpose of this paper is to describe various human–robot collaborative (HRC) techniques and their applicability for various manufacturing methods along with key challenges. Design/methodology/approach Numerous recent relevant research literature has been analyzed, and various human–robot interaction methods have been identified, and detailed discussions are made on one- and two-way human–robot collaboration. Findings The challenges in implementing human–robot collaboration for various manufacturing process and the challenges in one- and two-way collaboration between human and robot are found and discussed. Originality/value The authors have attempted to classify the HRC techniques and demonstrated the challenges in different modes.

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A Benchmark Toolkit for Collaborative Human-Robot Interaction

Riedelbauch

Hummer

2022

2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Virtual Teaching for Assembly Tasks Planning

Cited by 3 publications

References 18 publications

Benchmarking Teamwork of Humans and Cobots—An Overview of Metrics, Strategies, and Tasks

Benchmarking Teamwork of Humans and Cobots—An Overview of Metrics, Strategies, and Tasks

Challenges and opportunities in human robot collaboration context of Industry 4.0 - a state of the art review

A Benchmark Toolkit for Collaborative Human-Robot Interaction

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