[Faculty] Fwd: [CSRC.COLLOQUIUM] "Constraint-Based Control Design for Long Duration Autonomy "

[Jose Castillo]

[image: SDSU_CSRC Logo.jpg]


DATE:
*Friday, September 16, 2022*


TITLE:
*Constraint-Based Control Design for Long Duration Autonomy   *



TIME:
*3:30-4:30PM*



LOCATION:
*In Person - GMCS 314*


SPEAKER:
*Magnus Egerstedt, Stacey Nicholas Dean of Engineering, UC, Irvine *



ABSTRACT:
When robots are to be deployed over long time scales, optimality should
take a backseat to “survivability”, i.e., it is more important that the
robots do not break or completely deplete their energy sources than that
they perform certain tasks as effectively as possible. For example, in the
context of multi-agent robotics, we have a fairly good understanding of how
to design coordinated control strategies for making teams of mobile robots
achieve geometric objectives, such as assembling shapes or covering areas.
But, what happens when these geometric objectives no longer matter all that
much? In this talk, we consider this question of long duration autonomy for
teams of robots that are deployed in an environment over a sustained period
of time and that can be recruited to perform a number of different tasks in
a distributed, safe, and provably correct manner. This development will
involve the use of so-called barrier functions for encoding 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 life-styles, such as the three-toed sloth.

Bio: Dr. Magnus Egerstedt is the Dean of Engineering in the Samueli School
of Engineering and a Professor in the Department of Electrical Engineering
and Computer Science at the University of California, Irvine. Prior to
joining UCI, Egerstedt was on the faculty at the Georgia Institute of
Technology, serving as the School Chair in the School of Electrical and
Computer Engineering and the Director of Georgia Tech's Institute for
Robotics and Intelligent Machines. He received the M.S. degree in
Engineering Physics and the Ph.D. degree in Applied Mathematics from the
Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in
Philosophy from Stockholm University, and was a Postdoctoral Scholar at
Harvard University. Dr. Egerstedt conducts research in the areas of control
theory and robotics, with particular focus on control and coordination of
multi-robot systems. Magnus Egerstedt is a Fellow of and a Foreign member
of the Royal Swedish Academy of Engineering Science. He has received
several teaching and research awards, including the Ragazzini Education
Award, the O. Hugo Schuck Best Paper Award, the Outstanding Doctoral
Advisor Award and the Outstanding Teacher Award from Georgia Tech, and the
Alumni of the Year Award from the Royal Institute of Technology.


Host:
*Jose Castillo*

Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.





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