Automation Configuration Evaluation in Adaptive Assembly Systems Based on Worker Satisfaction and Costs

Burggräf, Peter; Dannapfel, Matthias; Adlon, Tobias; Riegauf, Aaron; Schmied, Jessica

doi:10.1007/978-3-030-20040-4_2

Cited by 3 publications

(6 citation statements)

References 6 publications

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“…Recently, Benter and Kuhlang [11] proposed an approach to detect body motions in accordance to MTM-1 using motion capture data from 3D cameras. In [12], the authors proposed an automatic generation of the MTM-1 code from motion capture data using convolutional neural network.…”

Section: Related Workmentioning

confidence: 99%

“…2. MTM-UAS codes [12] In order to allow the recognition of all these codes, we proposed a decision tree-based approach. Therefore, we created a tree by grouping the motions according to their origin (body, hands and eyes) then we generated from each branch other detailed movements according to the mentioned MTM-UAS parameters in Figure 2.…”

Section: B Motion Analysis and Mtm-uas Codes Recognitionmentioning

confidence: 99%

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Towards Method Time Measurement Identification Using Virtual Reality and Gesture Recognition

Bellarbi

Jessel

Dalto³

2019

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

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Methods-Time Measurement (MTM) is a predetermined motion time system that is used primarily in industrial settings to analyze the methods used to perform any manual operation. In this paper, we introduce a system for automatic generation of MTM codes using only head and both hands 3D tracking. Our approach relies on the division of gestures into small elementary movements. Then, we built a decision tree to aggregate these elementary movements in order to generate the realized MTM code. The proposed system does not need any pre-learning step, and it can be useful in both virtual environments to train technicians and in real cases with industrial workshops to assist experts for MTM code identification. Obtained results are satisfying and promising. This work is in progress, we plan to improve it in the near future.

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Section: Related Workmentioning

confidence: 99%

Section: B Motion Analysis and Mtm-uas Codes Recognitionmentioning

confidence: 99%

Towards Method Time Measurement Identification Using Virtual Reality and Gesture Recognition

Bellarbi

Jessel

Dalto³

2019

2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

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“…The level of automation (LoA) in manufacturing increases from a manual build to the introduction of tools to optimize the build process, which allows for repetition until full automation is achieved. Burggräf et al (2020) define LoA as seven levels; the details are shown in Table 1. Integrating robotics into the construction industry to promote construction efficiency was proposed in the late 20th century (Pan et al, 2018).…”

Section: Introduction and Overviewmentioning

confidence: 99%

Automated construction for human–robot interaction in wooden buildings: Integrated robotic construction and digital design of iSMART wooden arches

Leng

Shi

Fukuda

et al. 2023

Journal of Field Robotics

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Robotic construction is a powerful means of addressing labor shortages, low productivity, and low sustainability in the construction industry. Even though construction robots have attracted attention in research and practice, in a market condition where the technology and industry scale of the construction industry is yet unable to meet the scale of full automation, human–robot interaction (HRI) is a more adaptable working model. It is crucial to change the level of automation to the level of cooperation. This paper proposes an HRI construction method that aims to provide a new idea for existing robotic construction research, which combines the advantages of manual construction and automated robotic construction. This construction method allows an inexperienced layman to quickly complete the construction of complex timber structures with the assistance of a robot. Furthermore, this automated construction method's advantages, limitations, and potential pitfalls and the environmental, economic, and social sustainability aspects of design, production, and construction are also considered, providing a technical reference for the sustainable development of China's construction industry.

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“…The underlying information processes must be optimised to reduce both mental and psychological load [10]. However, many manufacturing companies still find themselves confronted with an impractical and inefficient presentation of information on the shop floor [11]. To overcome these challenges, Industry 4.0 solutions that support employees in an agile production environment are promising [12].…”

Section: Introductionmentioning

confidence: 99%

“…To overcome these challenges, Industry 4.0 solutions that support employees in an agile production environment are promising [12]. In particular, Augmented Reality applications offer a way to support the interaction between people and technology and combine the advantages of manual and automated processes [11].…”

Section: Introductionmentioning

confidence: 99%

Understanding the Potential of Augmented Reality in Manufacturing Environments

Kaufmann

Rook

Lefter

et al. 2021

Information Systems and Neuroscience

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Manufacturing companies are confronted with challenges due to increasing flexibility requirements and skill gaps. Augmented Reality applications offer an efficient way to overcome these tensions by enhancing the interaction between people and technology. The positive effects of Augmented Reality solutions are often described in individual models in the scientific literature. This research-in-progress aims to aggregate the empirical findings in the usage of Augmented Reality solutions in manufacturing environments. A meta-analysis is conducted to synthesise several small studies into one large study to achieve this. In particular, the meta-analysis will focus on the impact of Augmented Reality applications on cognitive load levels. Furthermore, the effect on processing time and error rates will be evaluated. Initial results of the meta-analysis will be expected and reported at this year's NeuroIS Retreat.

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Automation Configuration Evaluation in Adaptive Assembly Systems Based on Worker Satisfaction and Costs

Cited by 3 publications

References 6 publications

Towards Method Time Measurement Identification Using Virtual Reality and Gesture Recognition

Towards Method Time Measurement Identification Using Virtual Reality and Gesture Recognition

Automated construction for human–robot interaction in wooden buildings: Integrated robotic construction and digital design of iSMART wooden arches

Understanding the Potential of Augmented Reality in Manufacturing Environments

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