David Oswald

California State University, Bakersfield

Papers

Total Citations

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About

David Oswald’s research lies at the intersection of autonomous robotics, embedded systems, and environmental sensing, with a particular focus on bio-inspired chemical plume tracking. His most influential work, "Autonomous tracking of chemical plumes developed in both diffusive and turbulent airflow environments using Petri nets" (2014, 20 citations), introduces a novel control architecture that enables robots to autonomously navigate and trace chemical sources in complex, real-world airflow conditions—a critical challenge for applications in hazardous material detection and environmental monitoring. By employing Petri nets for decision-making, Oswald’s approach offers a robust, scalable framework for multi-robot coordination. He further advanced this line of inquiry with "A Fleet of Chemical Plume Tracers with the Distributed Architecture Built upon DaNI Robots" (2015, 3 citations), demonstrating practical multi-agent deployment. In parallel, Oswald contributed to embedded vision systems through "Implementation of fuzzy color extractor on NI myRIO embedded device" (2014, 7 citations), where he leveraged fuzzy logic to enable real-time color extraction on resource-constrained hardware. His work bridges theoretical control methods with tangible robotic platforms, offering valuable tools for students and researchers in autonomous systems, sensor fusion, and field robotics.