Petri Net Plans: A framework for collaboration and coordination in multi-robot systems
Autonomous Agents and Multi-Agent Systems, ISSN: 1387-2532, Vol: 23, Issue: 3, Page: 344-383
2011
- 70Citations
- 111Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Programming the behavior of multi-robot systems is a challenging task which has a key role in developing effective systems in many application domains. In this paper, we present Petri Net Plans (PNPs), a language based on Petri Nets (PNs), which allows for intuitive and effective robot and multi-robot behavior design. PNPs are very expressive and support a rich set of features that are critical to develop robotic applications, including sensing, interrupts and concurrency. As a central feature, PNPs allow for a formal analysis of plans based on standard PN tools. Moreover, PNPs are suitable for modeling multi-robot systems and the developed behaviors can be executed in a distributed setting, while preserving the properties of the modeled system. PNPs have been deployed in several robotic platforms in different application domains. In this paper, we report three case studies, which address complex single robot plans, coordination and collaboration. © 2010 The Author(s).
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79960993156&origin=inward; http://dx.doi.org/10.1007/s10458-010-9146-1; http://link.springer.com/10.1007/s10458-010-9146-1; https://dx.doi.org/10.1007/s10458-010-9146-1; https://link.springer.com/article/10.1007/s10458-010-9146-1; http://www.springerlink.com/index/10.1007/s10458-010-9146-1; http://www.springerlink.com/index/pdf/10.1007/s10458-010-9146-1
Springer Science and Business Media LLC
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