Using a formal high-level language and an automated manikin to automatically generate assembly instructions

Mårdberg, Peter; Carlson, Johan S.; Bohlin, Robert; Delfs, Niclas; Gustafsson, Stefan; Högberg, Dan; Hanson, Lars

doi:10.1504/ijhfms.2014.067180

Cited by 18 publications

(6 citation statements)

References 10 publications

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“…Geometrical copies of the physical stations were created in a CAD software and imported into the HIRC simulation software. The simulation sequence was then created through a high-level language introduced in the software (Mårdberg et al, 2014). This language enables instruction of the manikin through commands such as grasp, move to, look at and follow.…”

Section: Simulated Experimentsmentioning

confidence: 99%

Verification of manikin motions in human-industrial robot collaborative simulations

Ore¹,

Castro²,

Hanson³

et al. 2022

IJDH

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Stefan Gustafsson is a software developer at Industrial Path Solutions. He has a BSc in Mathematics from Gothenburg University. He works on the IPS software as developer and overall release manager, recently focussing his development efforts on adding virtual reality support to the program. His interests include large-scale software development and the C++ programming language, as well as computer graphics.

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Section: Simulated Experimentsmentioning

confidence: 99%

Verification of manikin motions in human-industrial robot collaborative simulations

Ore¹,

Castro²,

Hanson³

et al. 2022

IJDH

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show abstract

“…This interaction model consists of a quasistatic optimisation, taking a comfort function, kinematic constraints (e.g. end-effector paths), contact forces and collision avoidance into account (Bohlin et al 2012;Mårdberg et al 2014;H€ ogberg et al, 2019). Miehling et al (2015), , , and Pelliccia et al (2016) parameterise specific movements via kinematic constraints.…”

Section: Interaction Modelling Approachesmentioning

confidence: 99%

“…Besides the pure functionality, an interesting finding is that all interaction models describe an incremental procedure, hence simulating isolated specific interactions. Many interaction models utilise a high-level language to describe predefined tasks (increments), which can subsequently be interlinked to form a coherent interaction process H€ ogberg et al, 2019;Mårdberg et al 2014;. Some interaction models provide a high-level language as a semantic interface to define a specific task .…”

Section: Interaction Modelling Approachesmentioning

confidence: 99%

Challenges in interaction modelling with digital human models – A systematic literature review of interaction modelling approaches

Wolf¹,

Miehling²,

Wartzack³

2020

Ergonomics

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Digital human models (DHM) allow for a proactive ergonomic assessment of products by applying different models describing the user-product interaction. In engineering design, DHM tools are currently not established as computer-aided ergonomics tools, since (among other reasons) the interaction models are either cumbersome to use, unstandardised, time-demanding or not trustworthy. To understand the challenges in interaction modelling, we conducted a systematic literature review with the aim of identification, classification and examination of existing interaction models. A schematic user-product interaction model for DHM is proposed, abstracting existing models and unifying the corresponding terminology. Additionally, nine general approaches to proactive interaction modelling were identified by classifying the reviewed interaction models. The approaches are discussed regarding their scope, limitations, strength and weaknesses. Ultimately, the literature review revealed that prevalent interaction models cannot be considered unconditionally suitable for engineering design since none of them offer a satisfactory combination of genuine proactivity and universal validity.Practitioner summary: This contribution presents a systematic literature review conducted to identify, classify and examine existing proactive interaction modelling approaches for digital human models in engineering design. Ultimately, the literature review revealed that prevalent interaction models cannot be considered unconditionally suitable for engineering design since none of them offer a satisfactory combination of genuine proactivity and universal validity.

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“…The industrial robot time is calculated using industrial robot speeds and position data directly through the HIRC simulation software (Segeborn et al 2014). Human operation time is calculated using the predetermined motion time system methods-time measurement (MTM) (Maynard, Stegemerten, and Schwab 1948) directly in the software (Mårdberg et al 2014). The collaborative times comprise a combination of these that is context-dependent.…”

Section: Embodiment Designmentioning

confidence: 99%

Design method of human–industrial robot collaborative workstation with industrial application

Ore

Sánchez

Wiktorsson

et al. 2020

International Journal of Computer Integrated Manufacturing

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How to design Human-Industrial Robot Collaborative (HIRC) workstations is one of the key challenges in the realisation of safe and efficient HIRC systems in industry. The aim of this paper is to present a simple method to be used in early phases of HIRC workstation design. The design method requires a simulation tool and is based on systematic design methodologies and its reference work, Pahl and Beitz´s engineering design framework. The proposed HIRC design method consists of four phases: planning and clarifying the work task, conceptual design, embodiment design and detail design, where iteration loops back to previous phases are vital. This design method is applied in an industrial HIRC design case on assembly of a flywheel cover on a heavy vehicle engine block. In this application example, a previously developed HIRC simulation software is used to generate quantitative values on identified evaluation criteria, in this case operation time and biomechanical load. This proposed HIRC design method in combination with any type of simulation tool enables the systematic design of HIRC workstations early in the production development process.

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Using a formal high-level language and an automated manikin to automatically generate assembly instructions

Cited by 18 publications

References 10 publications

Verification of manikin motions in human-industrial robot collaborative simulations

Verification of manikin motions in human-industrial robot collaborative simulations

Challenges in interaction modelling with digital human models – A systematic literature review of interaction modelling approaches

Design method of human–industrial robot collaborative workstation with industrial application

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