The work formulates a sparsity-promoting inverse problem for source identification in tomographic sensing of chemical plumes using level-set representations of concentration thresholds.
Digital twin enabled runtime verification for autonomous mobile robots under uncertainty
2 Pith papers cite this work, alongside 4 external citations. Polarity classification is still indexing.
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This paper proposes a research agenda for software engineering of self-adaptive robotic systems along lifecycle stages and enabling technologies, identifying challenges and a roadmap to 2030.
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Sparsity-Driven Source Localization in Tomographic Sensing Applications
The work formulates a sparsity-promoting inverse problem for source identification in tomographic sensing of chemical plumes using level-set representations of concentration thresholds.
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Software Engineering for Self-Adaptive Robotics: A Research Agenda
This paper proposes a research agenda for software engineering of self-adaptive robotic systems along lifecycle stages and enabling technologies, identifying challenges and a roadmap to 2030.