Creating and shaping the DHM tool IMMA for ergonomic product and production design

Högberg, Dan; Hanson, Lars; Bohlin, Robert; Carlson, Johan S.

doi:10.1504/ijdh.2016.077413

Cited by 28 publications

(20 citation statements)

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“…This software combines the DHM and robotic parts of the IPS software and is named IPS-HIRC in this paper. The DHM part of the software has been developed to automatically predict human motions to suit the virtual environment (Högberg et al 2016). It uses mathematical algorithms to normalise the loads on each joint of the manikin in order to determine a posture with the most favourable biomechanical load (Bohlin et al 2012).…”

Section: Methods For Acquiring Performance Measuresmentioning

confidence: 99%

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Simulation methodology for performance and safety evaluation of human–industrial robot collaboration workstation design

Ore

Vemula

Hanson

et al. 2019

Int J Intell Robot Appl

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There is a strong interest in the scope of human-industrial robot collaboration (HIRC) in manufacturing industry for greater flexibility and productivity. However, HIRC in manufacturing is still in its infancy; industrial practitioners have many apprehensions and uncertainties concerning the system's performance and human operators' safety. Therefore, there is a need for investigations into design processes and methods to make sure the designed HIRC workstations successfully meet design guidelines on system performance, human safety and ergonomics for practical industrial applications. This research proposes a HIRC workstation design process. The novelty of this design process is the methodology to evaluate the HIRC workstation design alternatives by considering both performance and safety characteristics through computer-based simulations. As a proof of concept, the proposed HIRC design process is applied on an industrial manufacturing case from a heavy-vehicle manufacturing company.

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Section: Methods For Acquiring Performance Measuresmentioning

confidence: 99%

“…Effective masses(Högberg et al 2016) and spring constants(Segeborn et al 2014) of different human body regions…”

mentioning

confidence: 99%

Simulation methodology for performance and safety evaluation of human–industrial robot collaboration workstation design

Ore

Vemula

Hanson

et al. 2019

Int J Intell Robot Appl

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“…A main function is material movement i.e. either that a person or a robot picks up the material or a robot or a person delivers the material [28]. This forms the four fundamental activities of material-to-human, material-to-robot, human-tomaterial and robot-to-material.…”

Section: B Physical Environmentmentioning

confidence: 99%

Employing digital twins within production logistics

Hauge¹,

Zafarzadeh

Jeong

et al. 2020

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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Digitalisation and automation of existing processes are key competitive factors for industry. Still, logistic operations often comprise manual effort, because the movement of goods and material places stringent requirements on the interactions between different systems, human-computer/robot-interaction as well as on changes in the operative processes. In general, the introduction and uptake of new enabling technologies, like the IoT, in complex systems evolved over decades, are challenging. The experience has shown that it is hard to assess all restrictions and interactions between new and old components before any new equipment or infrastructure is implemented and put in operation. This paper presents and discusses the usage of digital twins for supporting the decision-making processes in two different areas: Workstation design and logistics operation analysis. The results are based on tests and experiments carried out in a production logistics test-bed that includes physical devices, an IoT-infrastructure and simulation software. The digital twin is realised in a combination of using Unity and the simulation software IPS. The primary results show that there is no one-size fit all in terms of granularity of the underlying simulation model as well as for the reduction of reality in the digital twin, but the results also indicate that a context-aware digital twin supports the decision-making within a given scope.

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“…Many commercially available DHS software embed ergonomic modules (e.g. Jack (Raschke, 2004), Delmia (ref missing), EMA (Fritzsche, 2011), RAMSIS (Seidl, 2004), IMMA (Högberg, 2016)). Yet, a DHS for assessing the ergonomic benefit provided by a robot physically interacting with a human must implement some specific features.…”

Section: Requirements Of Dhs For Collaborative Roboticsmentioning

confidence: 99%

“…In the collaborative scenario, the robot motion is controlled by the worker through force sensors in the robot joints. However, the force-dependent behavior is limited to the robot since the generation of the DHM movement in IMMA is based on kinematics (Högberg, 2016).…”

Section: Simulation Of Robot Motionmentioning

confidence: 99%

Digital human modeling for collaborative robotics

Maurice

Padois

Measson

et al. 2019

DHM and Posturography

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Work-related musculoskeletal disorders in industry represent a major health problem in many developed countries. Collaborative robotics, which allows the joint manipulation of objects by both a robot and a person, is a possible solution. But efficiently designing such assistive robots requires to assess the ergonomic benefit they offer. Similarly to other domains such as automotive or workstation design, the use of a digital human simulation (DHS) can cut down the development cost and time by replacing the physical mock-up with a virtual one easier to modify. However, simulating human-robot collaborative tasks poses specific challenges because the human and the robot form a highly coupled dynamic system in which the motion of each partner depends on the forces exchanged. Therefore a dynamic simulation is required to obtain reliable measurements for ergonomic assessments. The first part of this chapter details the challenges of DHS for collaborative robotics. State-of-the-art work on DHS with collaborative robots is reviewed to identify which questions currently remain open. An optimization-based controller is then proposed to animate a digital human model (DHM) in the context of human-robot collaboration. The second part of this chapter presents an application of the DHM controller. A human-robot collaborative task is successfully simulated and allows to quantify the effect of kinematic, dynamic and control parameters of the robot on the DHM posture and effort.

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Creating and shaping the DHM tool IMMA for ergonomic product and production design

Cited by 28 publications

References 0 publications

Simulation methodology for performance and safety evaluation of human–industrial robot collaboration workstation design

Simulation methodology for performance and safety evaluation of human–industrial robot collaboration workstation design

Employing digital twins within production logistics

Digital human modeling for collaborative robotics

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