[Lisa_seminaires] Fwd: Colloque DIRO, jeudi 26 janvier, Pooyan Fazli (Cleveland State U.)

Yoshua Bengio yoshua.umontreal at gmail.com
Ven 20 Jan 19:31:35 EST 2017


More robotics + machine learning next Thursday, another job talk.

---------- Forwarded message ----------
From: Pierre McKenzie <mckenzie at iro.umontreal.ca>
Date: 2017-01-20 11:55 GMT-05:00
Subject: Colloque DIRO, jeudi 26 janvier, Pooyan Fazli (Cleveland State U.)
To: seminaires at iro.umontreal.ca


*Distributed Robotics: Algorithms and Applications *

par



* Pooyan Fazli *

 Cleveland State University

*Jeudi 26 janvier, 15:30-16:30*, *Salle 6214*, Pavillon André-Aisenstadt

    Université de Montréal, 2920 Chemin de la Tour

Café avant 15:00-15:30

*Cette présentation sera donnée en anglais.*



*Résumé:*

Future robots will have to work in dynamic, uncertain, adversarial, and
multi-goal environments. Thus, the integration of the advanced physical and
cognitive systems required by the next generation of robots is a
challenging task. It is not feasible to design a ‘universal’ robot capable
of working across a wide range of applications. The robots of today are
examples of the challenges of cost, long training period, and limited
functionality, which will apply to robots of the near future as well. Given
these challenges, multi-robot systems may be more suitable than
single-robot systems in many real world applications.

In this talk, I shall discuss two challenging problems in distributed
robotics:

1) Service robots frequently face similar tasks. However, they are still
not able to share their knowledge efficiently on how to accomplish those
tasks. We introduce a new framework, which allows remote and heterogeneous
robots to share plans and instructions on the tasks assigned to them. We
demonstrate the feasibility of the framework with experiments between two
geographically distributed robots and analyze the performance of the
framework quantitatively.

2) In distributed coverage, a team of robots is deployed to move around a
target area to perform sensing, monitoring, data collection, search, or
distributed servicing tasks. We focus on the problem of multi-robot
coverage and patrolling of the boundaries of a target area and the
structures inside it. Events may occur at any position on the boundaries,
and the goal of the robot team is to maximize the total detection reward of
the events. To this end, we introduce an online, distributed algorithm, in
which each robot autonomously learns the event distribution on the
boundaries and then plans accordingly to visit the most promising parts of
the target area. We also investigate how robots’ visual range and
communication among the robots affect the performance of the robot team in
the coverage problem.

*Biographie:*

 Pooyan Fazli is an assistant professor and the founding director of the
People and Robots Laboratory (PeRL) in the Electrical Engineering and
Computer Science Department at Cleveland State University. He received his
Ph.D. in Computer Science from the University of British Columbia and his
M.Sc. and B.Sc. in Computer Science from Amirkabir University of
Technology. Prior to joining CSU, he was a postdoctoral fellow in the CORAL
Research Group at Carnegie Mellon University and in the Laboratory for
Computational Intelligence at the University of British Columbia. His
research focuses on artificial intelligence, autonomous robots, multi-robot
systems, human-robot teams/interaction, machine learning, and robot vision
and perception.
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