Datasheet: where is requirements engineering gone? A case in Benchmarking Mobile Robotics

Brisacier-Porchon, Lorraine; Hammami, Omar

doi:10.1002/iis2.12905

Cited by 1 publication

(3 citation statements)

References 34 publications

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“…The input data of this step, all 𝑤 𝑗 of TUMA, was imported from system component datasheet exploration. The exploration of component datasheet can be criticized, as described in our previous works [31]. Still, the data imported was selected from available information about components, either declared or tested.…”

Section: Resultsmentioning

confidence: 99%

“…As long as the As state of the art about small size robots is consequent, we managed to select one that appears in many publications to put to test in a "mule" mission: the robot will have the mission to follow humans, at walking speed, around the campus for 3h. Some examples of our testing scenario have been deployed in [31].…”

Section: Cmentioning

confidence: 99%

“…For synthetic redaction purpose, we focused on introducing variations in the wheel design, and built a model to link it to its system scale performance, including the impacts on the MBSE model. From previous experiments with the robot, we had strong incentive to adapt the robot to the expected capabilities that inspired the V&V in [32]. The conclusions led us to the idea of adapting the wheels to fit better a surveillance mission in the campus.…”

Section: Cmentioning

confidence: 99%

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Tackling Optimization and System-Driven Engineering in Coupling Physical Constraints with MBSE: The Case of a Mobile Autonomous Line of Products

Brisacier-Porchon,

Hammami

2024

The Proceedings of the 2023 Conference on Systems Engineering Research

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The main goal of product line engineering is to build complex system architecture at the best quality, cost, resource ratio. The return on investment in terms of assessment is however not trivial, as systems to build rise in complexity. Moreover, the perspective of system of systems engineering that set up both historic and new systems in capabilities, and the introduction of more and more autonomous systems in architectures makes the anticipation of return on investment impossible to achieve without computer assistance. The necessary tools to assess as precisely as possible also involve a wide exploration of possibilities in an ever-changing context. The absence of mechanical or multi physical aspects in SysML-based tools, either in its version 1.3 or 2.0, makes it inefficient in representing or simulating robotic systems or system of system engineering. This article explains the benefits of tackling a classic Multi-Objective Knapsack Problem (MOKP) to the UGV product line items selection using a seamless system architecting toolchain. The association of MBSE (Model-based System Engineering), OR (Operation Research) and MBD (Model Based design) that generated various designs is presented. Our results in system engineering in UGV presents a Pareto Front of trade-offs that can count as numerous possibilities that sole MBSE or separate MBD simulation could not have represented as the best in the sense of . The simultaneous variations in both hardware and mechanical design show was entirely automated using standard tools with no redesign. This shows that seamless automations should pave the future of system engineering tools. With Operation research and Systems engineering tackling methods, our model upscale to real systems will shape System-Driven Engineering that will require new skills in system validation and verification and simulation analytics.

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Section: Resultsmentioning

confidence: 99%

Section: Cmentioning

confidence: 99%

Section: Cmentioning

confidence: 99%

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