Page 17 - ASME DSCC 2018 Program
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Plenary Sessions

RUFUS OLDENBURGER LECTURE                                                   “LONG DURATION AUTONOMY AND CONSTRAINT-BASED
“MODELING, CONTROL AND ESTIMATION OF TRAFFIC ROAD                           COORDINATION OF MULTI-ROBOT SYSTEMS”
NETWORKS”                                                                   WEDNESDAY, OCTOBER 3
TUESDAY, OCTOBER 2                                                          8:30AM – 9:30AM
7:00PM – 7:45PM                                                             INTERNATIONAL BALLROOM NORTH (LOWER LEVEL 1)
INTERNATIONAL BALLROOM (LOWER LEVEL 1)
                                                                            Session Chair: Jun Ueda, Georgia Institute of Technology
Session Chair: Dawn Tilbury, National Science Foundation
                                                                                                      Magnus Egerstedt,
                          Roberto Horowitz,                                                           Georgia Institute of Technology
                          University of California, Berkeley

Abstract: This talk discusses some of our recent advancements in            Abstract: By now, we have a fairly good understanding of how to design
management and estimation of traffic road networks. Traffic congestion is   coordinated control strategies for making teams of mobile robots achieve
a major source of world-wide inefficiency, with one study estimating that,  geometric objectives in a distributed manner, such as assembling shapes
in 2014, delays due to congestion cost 7 billion hours and $160B in the US  or covering areas. But, the mapping from high-level tasks to these
alone. However, mitigating congestion through management techniques is      objectives is not particularly well understood. In this talk, we investigate
difficult, as traffic congestion exists in a confluence of complex          this topic in the context of long duration autonomy, i.e., we consider teams
phenomena, such as nonlinear shockwaves, emergent macroscopic               of robots, deployed in an environment over a sustained period of time,
network effects from multiple agents, and low system observability and      that can be recruited to perform a number of different tasks in a
controllability. Growth of traffic demand shows no sign of decreasing, so   distributed, safe, and provably correct manner. This development will
continued infrastructure expansion must be combined with continued          involve the composition of multiple barrier certificates for encoding the
development of traffic control engineering to abate these societal costs.   tasks and safety constraints, as well as a detour into ecology as a way of
Some of today’s traffic control efforts make use of novel formulations of   understanding how persistent environmental monitoring, as a special
these nonlinear systems and new sources of data provided by the             instantiation of the long duration autonomy concept, can be achieved by
connected and autonomous vehicles now entering the fleet.                   studying animals with low-energy life-styles, such as the three-toed sloth.

Biography: Roberto Horowitz is a Professor in the Department of             Biography: Magnus Egerstedt is the Executive Director for the Institute
Mechanical Engineering at UC Berkeley and holds the James Fife              for Robotics and Intelligent Machines at the Georgia Institute of
Endowed Chair in the College of Engineering. He received a B.S. degree      Technology and a Professor and the Julian T. Hightower Chair in Systems
with highest honors in 1978 and a Ph.D. degree in 1983 in mechanical        and Controls in the School of Electrical and Computer Engineering. He
engineering from the University of California at Berkeley and became a      received the M.S. degree in Engineering Physics and the Ph.D. degree in
faculty member of the Mechanical Engineering Department in 1982. Dr.        Applied Mathematics from the Royal Institute of Technology, Stockholm,
Horowitz teaches and conducts research in the areas of adaptive, learning,  Sweden, the B.A. degree in Philosophy from Stockholm University, and
nonlinear and optimal control, with applications to Micro-                  was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt is a Fellow
Electromechanical Systems (MEMS), computer disk file systems, robotics,     of the IEEE and a recipient of a number of research and teaching awards,
mechatronics and Intelligent Vehicle and Highway Systems (IVHS). He is      including the Ragazzini Award from the American Automatic Control
currently the Chair of the Department of Mechanical Engineering             Council.
Department is a former co-director of the Partners for Advanced
Transportation Technology (PATH) research center at U.C. Berkeley. Dr.
Horowitz is a member of IEEE and ASME and the recipient of the 2010
ASME Dynamic Systems and Control Division (DSCD) Henry M. Paynter
Outstanding Investigator Award.

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