"Specification Technique for Virtual Testbeds in Space Robotics"

Bernijazov, Ruslan; Hillebrand, Michael; Bremer, Christian; Kaiser, Lydia; Dumitrescu, Roman

doi:10.1016/j.promfg.2018.06.028

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…The most frequent approaches in DT-space robotics were observed in the case of VTB implementations [23] , [24] , [25] . Other trends included DT- aided haptic telerobotic assembly of modular satellites, processing of such telemetry data [2] , [3] and spacecraft MRO [26] .…”

Section: Recent Trends In Dt Incorporated Roboticsmentioning

confidence: 99%

“…In 2018, another study related to a project dubbed “INVIRTES” in [24] conducted an investigation on existing VTBs in MBSE including VITOS [23] where it sorted out that earlier versions of VTBs lacked solid test case specification concepts. The study then went on to propose an integrated model based specification approach for VTBs.…”

Section: Recent Trends In Dt Incorporated Roboticsmentioning

confidence: 99%

See 1 more Smart Citation

Towards next generation digital twin in robotics: Trends, scopes, challenges, and future

Mazumder¹,

Sahed²,

Tasneem³

et al. 2023

Heliyon

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Section: Recent Trends In Dt Incorporated Roboticsmentioning

confidence: 99%

Section: Recent Trends In Dt Incorporated Roboticsmentioning

confidence: 99%

Towards next generation digital twin in robotics: Trends, scopes, challenges, and future

Mazumder¹,

Sahed²,

Tasneem³

et al. 2023

Heliyon

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“…Simulated components are progressively replaced by physical components as they become available [10]. The MBSE testbed construct extends HWIL capabilities by including the means for developing and exercising abstract models independently or interoperating with HWIL [11][12][13][14][15]. Just as importantly, the MBSE testbed construct provides a modeling, simulation, and integration environment for developing and evaluating digital twins [5].…”

Section: Mbse Testbed Conceptmentioning

confidence: 99%

MBSE Testbed for Rapid, Cost-Effective Prototyping and Evaluation of System Modeling Approaches

Madni

2021

Applied Sciences

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Model-based systems engineering (MBSE) has made significant strides in the last decade and is now beginning to increase coverage of the system life cycle and in the process generating many more digital artifacts. The MBSE community today recognizes the need for a flexible framework to efficiently organize, access, and manage MBSE artifacts; create and use digital twins for verification and validation; facilitate comparative evaluation of system models and algorithms; and assess system performance. This paper presents progress to date in developing a MBSE experimentation testbed that addresses these requirements. The current testbed comprises several components, including a scenario builder, a smart dashboard, a repository of system models and scenarios, connectors, optimization and learning algorithms, and simulation engines, all connected to a private cloud. The testbed has been successfully employed in developing an aircraft perimeter security system and an adaptive planning and decision-making system for autonomous vehicles. The testbed supports experimentation with simulated and physical sensors and with digital twins for verifying system behavior. A simulation-driven smart dashboard is used to visualize and conduct comparative evaluation of autonomous and human-in-the-loop control concepts and architectures. Key findings and lessons learned are presented along with a discussion of future directions.

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