Modular System Design Approach for Online Ergonomics Assessment in Agile Production Environment

Eichler, Paul; Rashid, Aquib; Nasser, Ibrahim Al; Halim, Jayanto; Bdiwi, Mohamad

doi:10.1109/ro-man50785.2021.9515437

Cited by 1 publication

(1 citation statement)

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“…Ergonomics assessments provide different kinds of outputs depending on the motion tracking hardware and the evaluation scores. Eichler et al (2021) provide an interesting review of different hardware requirements and ergonomics assessment methods. Most basic postural assessment methods may be found in many software tools, such as the ErgoToolkit proposed by Alexopoulos et al (2013).…”

Section: Introductionmentioning

confidence: 99%

Using Physics-Based Digital Twins and Extended Reality for the Safety and Ergonomics Evaluation of Cobotic Workstations

Weistroffer

Keith

Bisiaux

et al. 2022

Front. Virtual Real.

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Cobotic workstations in industrial plants involve a new kind of collaborative robots that can interact with operators. These cobots enable more flexibility and they can reduce the cycle time and the floor space of the workstation. However, cobots also introduce new safety concerns with regard to operators, and they may have an impact on the workstation ergonomics. For those reasons, introducing cobots in a workstation always require additional studies on safety and ergonomics before being applied and certified. Certification rules are often complex to understand. We present the SEEROB framework for the Safety and Ergonomics Evaluation of ROBotic workstations. The SEEROB framework simulates a physics-based digital twin of the cobotic workstation and computes a large panel of criteria used for safety and ergonomics. These criteria may be processed for the certification of the workstation. The SEEROB framework also uses extended reality technologies to display the digital twin and its associated data: users can use virtual reality headsets for the design of non-existing workstations, and mixed reality devices to better understand safety and ergonomics constraints on existing workstations. The SEEROB framework was tested on various laboratory and industrial use cases, involving different kinds of robots.

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Section: Introductionmentioning

confidence: 99%