[AI Seminar Series] Seminar by Prof. Igor Spasojevic, Friday Sept. 26, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Colleagues, wishing you a happy start of the Fall Quarter!

We will have the next AI Seminar this Friday Sept. 26th, 12:00-1:00pm at
the MRB Seminar Room (1st floor).

*** Pizza and refreshments will be provided ****

To keep track of the number of attendees, please *register* at:
https://www.eventbrite.com/e/ai-seminar-series-tickets-1732356718579

The talk will be given by Prof. Igor Spasojevic, Department of Electrical
and Computer Engineering, UCR

TITLE: Fast navigation via identifying structure and leveraging learning
for optimization

ABSTRACT:
Time-critical missions are among the most important classes of tasks yet to
fully benefit from agile autonomous micro aerial vehicles. At the same
time, such missions require developing algorithms that enable these robots
to navigate safely, and make effective decisions on resource-constrained
hardware. In this talk I will focus on algorithms for two classes of
trajectory optimization problems for quadrotors. First, we shall look into
the structure of perception-aware motion planning constraints that allow a
vision-driven robot to traverse a given geometric path in minimum time
while maintaining accurate state estimates at all times. Second, where only
part of the structure can be identified, we shall turn to a fusion of
model-based and learning-augmented approaches to synthesize
dynamically-feasible trajectories at a fraction of the computational cost
of traditional methods.

Bio:
Igor Spasojevic is an Assistant Professor in the Bourns College of
Engineering at the University of California, Riverside. Prior to UCR he was
a postdoc in the General Robotics, Automation, Sensing, and Perception
(GRASP) laboratory at the University of Pennsylvania. He received his Ph.D.
from the Massachusetts Institute of Technology, where he worked on
algorithms for perception-aware motion planning for agile micro aerial
vehicles. His research spans various types of optimization problems in
robotics, recently with a focus on trajectory planning and autonomous
exploration.

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Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
speakers working on cutting edge Foundational AI or applying AI in their
research. The goal of these seminars is to inform the UCR community about
current trends in AI research and promote collaborations between faculty in
this emerging field. These seminars are open to interested faculty and
graduate/undergraduate students. Please forward this email to other
colleagues or students in your lab that may be interested. After the seminar a
discussion will follow for questions, open problems, ideas for possible
collaborations etc.

Sincerely,
Vassilis Tsotras
Professor, CSE Department
co-Director, RAISE at UCR Institute

Amit Roy-Chowdhury
Professor, ECE Department
co-Director, RAISE at UCR Institute
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