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dc.contributor.authorEgerstedt, Magnus
dc.date.accessioned2017-02-16T16:03:33Z
dc.date.available2017-02-16T16:03:33Z
dc.date.issued2017-02-08
dc.identifier.urihttp://hdl.handle.net/1853/56457
dc.descriptionPresented on February 8, 2017 from 12:00 p.m.-1:00 p.m. in the Marcus Nanotechnology Building, Rooms 1116-1118 on the Georgia Tech campus.en_US
dc.descriptionMagnus Egerstedt is the executive director of the Institute for Robotics and Intelligent Machines at Georgia Tech and a professor and Julian T. Hightower Chair in Systems and Controls in the School of Electrical and Computer Engineering. He holds adjunct appointments in the School of Interactive Computing, the Woodruff School of Mechanical Engineering, and the Guggenheim School of Aerospace Engineering. He also serves as director of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab). Egerstedt conducts research in the areas of control theory and robotics, focusing on control and coordination of complex networks, such as multi-robot systems, mobile sensor networks, and cyber-physical systems. He holds a bachelor's degree in philosophy from Stockholm University and master's and doctoral degrees in engineering physics and applied mathematics, respectively, from the Royal Institute of Technology, Stockholm. After completing his Ph.D., Egerstedt was a postdoctoral scholar at Harvard University. He is the deputy editor-in-chief for IEEE Transactions on Network Control Systems and the past editor for electronic publications for the IEEE Control Systems Society. Additionally, he is a Fellow of the IEEE and a recipient of the National Science Foundation CAREER Award. He also received the HKN Outstanding Teacher Award, the Alumni of the Year Award from the Royal Institute of Technology and the Ragazzini Award from the American Automatic Control Council.en_US
dc.descriptionRuntime: 60:15 minutesen_US
dc.description.abstractBy now, we have a fairly good understanding of how to design coordinated control strategies for making teams of mobile robots achieve geometric objectives in a distributed manner, such as assembling shapes or covering areas. But, the mapping from high-level tasks to these geometric objectives is not at all straightforward. In this talk, we investigate this topic in the context of persistent autonomy, i.e., we consider teams of robots, deployed in an environment over a sustained period of time, that can be recruited to perform a number of different tasks in a distributed and safe, yet provably correct manner. This development will involve the composition of multiple barrier certificates for encoding the tasks and safety constraints, as well as a detour into ecology as a way of understanding how persistent environmental monitoring can be achieved by studying animals with low-energy lifestyles, such as the three-toed sloth.en_US
dc.format.extent60:15 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesIRIM Seminar Seriesen_US
dc.subjectAutonomyen_US
dc.subjectControlen_US
dc.subjectCoordinated control strategiesen_US
dc.subjectMappingen_US
dc.subjectPersistent autonomyen_US
dc.subjectRoboticsen_US
dc.titlePersistent Environmental Monitoring: Robots That Seemingly Do Nothing Most of the Timeen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machinesen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineeringen_US


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  • IRIM Seminar Series [121]
    Each semester a core seminar series is announced featuring guest speakers from around the world and from varying backgrounds in robotics.

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