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in Robotics
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The Smart Sensor Networks and Autonomy section addresses the scientific and engineering challenges of deriving meaningful information from the complex data of sensor networks and transform it to actionable autonomy. Work published in this section explores how autonomous systems can utilize multimodal sensor information to advance their autonomous behaviours enabling distributed, dynamic, agile, and resilient operations.
Our ultimate goal is to accelerate and promote the progress in machine perception and cognition of sensed information for improved autonomous systems. We welcome papers which harness the potential of a data-rich world through advanced data-to-decision approaches and with diverse applications. These include, but are not limited to:
Indexed in: CLOCKSS, CrossRef, Digital Biography & Library Project (dblp), DOAJ, Google Scholar, Scopus, Ulrich's Periodicals Directory, Web of Science Emerging Sources Citation Index (ESCI)
PMCID: NA
Smart Sensor Networks and Autonomy welcomes submissions of the following article types: Brief Research Report, Correction, Data Report, Editorial, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Review, Systematic Review and Technology and Code.
All manuscripts must be submitted directly to the section Smart Sensor Networks and Autonomy, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
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