Simulation and Test of Communication in Multi-robot Systems Using Co-simulation

Brito, Alisson V.; Oliveira, Thiago de Lima

doi:10.1007/978-3-319-31232-3_86

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…For this purpose, cosimulations have proven to be particularly useful. [20][21][22][23][24][25][26][27] This is mainly because their distributed nature allows for external systems to be connected by design. Distributed co-simulations, however, bring their own challenges.…”

Section: Introductionmentioning

confidence: 99%

Ad hoc HLA simulation model derived from a model-based traffic scenario

Reiher

Hahn

2023

SIMULATION

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Modern highly automated and autonomous traffic systems and sub-systems require new approaches to test their functional safety in the context of validation and verification. One approach that has taken a leading role in current research is scenario-based testing. For various reasons, simulation is considered to be the most practicable solution for a wide range of test scenarios. However, this is where many existing simulation systems in research reach their limits. In order to be able to integrate the widest possible range of systems to be tested into the simulation, the use of co-simulation has proven to be particularly useful. In this work, the High-Level Architecture defined in the IEEE 1516-2010 standard is specifically addressed, and a concept is developed that establishes the foundation for the feasible use of scenario-based distributed co-simulation on its basis. The main challenge identified and addressed is the resolution of the double-sided dependency between scenario and simulation models. The solution was to fully automate the generation and instantiation of the simulation environment on the basis of a scenario instance. Finally, the developed concept was implemented as a prototype, and the resulting process for its use is presented here using an example scenario. Based on the experience gained during the creation of the concept and the prototype, the next steps for future work are outlined in conclusion.

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Section: Introductionmentioning

confidence: 99%

Ad hoc HLA simulation model derived from a model-based traffic scenario

Reiher

Hahn

2023

SIMULATION

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“…For this, the Ptolemy II simulation environment was integrated into the Drone using the standard for interoperation of simulators, IEEE 1516 (HLA) [4]. This allows not only the integration of Ptolemy with the drone, but also opens the opportunity to integrate other simulators, like network simulator [5], ROS [6], embedded systems [7], SystemC [8], or even a group of diverse simulator [9].…”

Section: Introductionmentioning

confidence: 99%

An Environment for Indoor Testing and Diagnosis of Drones using Co-simulation

Abreu¹,

Oliveira

Silva

et al. 2019

Anais Estendidos Do IX Simpósio Brasileiro De Engenharia De Sistemas Computacionais (SBESC Estendido 2019)

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Operations with Unmanned Aerial Vehicles (UAVs) require reliability to execute missions. With the correct diagnostic, it is possible to predict vehicle failure during or before the flight. The objective of this work is to present a testing tool, which analyzes and evaluates drones during the flight in indoor environments. For this purpose, the framework Ptolemy II was extended for communication with real drones using the High-Level Architecture (HLA) for data exchanging and synchronization. The presented testing environment is extendable for other testing routines and is ready for integration with other simulation and analysis tools. In this paper, two failure detection experiments were performed, with a total of 20 flights for each one, which 80\% were used to train a decision tree algorithm, and the other 20% flights to test the algorithm in which one of the propellers had an anomaly. The failure rate or detection rate was 70\% for the first experiment and 90% for the second one.

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Simulation and Test of Communication in Multi-robot Systems Using Co-simulation

Cited by 2 publications

References 6 publications

Ad hoc HLA simulation model derived from a model-based traffic scenario

Ad hoc HLA simulation model derived from a model-based traffic scenario

An Environment for Indoor Testing and Diagnosis of Drones using Co-simulation

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