Title:
Persistent Environmental Monitoring: Robots That Seemingly Do Nothing Most of the Time

dc.contributor.author Egerstedt, Magnus B.
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.date.accessioned 2017-02-16T16:03:33Z
dc.date.available 2017-02-16T16:03:33Z
dc.date.issued 2017-02-08
dc.description Presented 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.description Magnus 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.description Runtime: 60:15 minutes en_US
dc.description.abstract By 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.extent 60:15 minutes
dc.identifier.uri http://hdl.handle.net/1853/56457
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries IRIM Seminar Series
dc.subject Autonomy en_US
dc.subject Control en_US
dc.subject Coordinated control strategies en_US
dc.subject Mapping en_US
dc.subject Persistent autonomy en_US
dc.subject Robotics en_US
dc.title Persistent Environmental Monitoring: Robots That Seemingly Do Nothing Most of the Time en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.author Egerstedt, Magnus B.
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
local.relation.ispartofseries IRIM Seminar Series
relation.isAuthorOfPublication dd4872d3-2e0d-435d-861d-a61559d2bcb6
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
relation.isSeriesOfPublication 9bcc24f0-cb07-4df8-9acb-94b7b80c1e46
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