2020 IEEE 13th International Conference on Software Testing, Validation and Verification (ICST) 2020
DOI: 10.1109/icst46399.2020.00020
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A Study on Challenges of Testing Robotic Systems

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Cited by 66 publications
(27 citation statements)
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“…Those considerations are essential from the perspective of the product release, especially when robots have a value on their character. The QA or quality control process in computer-aided entertainment is well-established in the computer game industry [21] and gaining momentum in the robotics field [22,23]. However, because home robots differ from the industrial robots concerning interactivity and differ from computer games for character motion in the real world, we were required to develop a QA flow for releasing the LOVOT software.…”
Section: Quality Assurancementioning
confidence: 99%
“…Those considerations are essential from the perspective of the product release, especially when robots have a value on their character. The QA or quality control process in computer-aided entertainment is well-established in the computer game industry [21] and gaining momentum in the robotics field [22,23]. However, because home robots differ from the industrial robots concerning interactivity and differ from computer games for character motion in the real world, we were required to develop a QA flow for releasing the LOVOT software.…”
Section: Quality Assurancementioning
confidence: 99%
“…We assessed the impact of nondeterminism in the reproducibility of simulation-based evaluation of MRS components by analysing the best MRS configuration and CI algorithm pair for each case study over 30 independent runs. Non-determinism can be due to robot behaviour (e.g., path planning), components of the simulation engine, or the operating system [29]. Non-deterministic simulations can produce behaviour that is not representative of real systems.…”
Section: Rq2 (Collective Intelligence Analysis)mentioning
confidence: 99%
“…However, the use of simulations for testing safety constraints raises important issues. First, the safety case must ensure the simulated environment is representative of the system under consideration [2,16]. Second, the tools must decide on a set of configurations (from the effective-infinite configuration space) to drive testing and evaluate confidence in the system safety [18].…”
Section: Introductionmentioning
confidence: 99%