Carnegie Mellon University
Multi-Robot
Intelligence
Abstract: Robots
are
physical
artifacts
with
a
seamless
integration
of
perception,
cognition,
and
action.
My
presentation
will
be
focused
on
teams
of
intelligent
autonomous
robots
performing
tasks
in
highly
uncertain
domains.
Robots
need
to
jointly
assess
the
state
of
their
environment,
communicate
with
each
other,
make
decisions,
execute
actions
towards
the
achievement
of
team
objectives,
and
learn
from
observation
and
demonstration.
Biography: Manuela M. Veloso is the Herbert A. Simon Professor of Computer Science at Carnegie Mellon University, researching artificial intelligence and robotics. She focuses on planning, control learning, and execution algorithms for single and multirobot systems, in particular in uncertain, dynamic, and adversarial environments. With her students, Veloso has developed teams of robot soccer agents, which have successfully participated in international RoboCup competitions since 1997.
Veloso holds a BS in electrical engineering and an MSc in electrical and computer engineering from the Instituto Superior Tecnico in Lisbon. She earned her PhD in computer science from Carnegie Mellon University. She is a fellow of the American Association of Artificial Intelligence and vice president of the RoboCup International Federation. She was awarded a CAREER Award from the National Science Foundation and the Allen Newell Medal for Excellence in Research and is the program chair of the 2007 International Joint Conference on Artificial Intelligence. Veloso is the author of Planning and Learning by Analogical Reasoning (Springer-Verlag, 1994), has edited several books, and has published more than 150 journal articles and conference papers.