[robotics-worldwide] [meetings] ICRA 2015 Workshop - Persistent Autonomy for Aquatic Robotics

Francesco Maurelli f.maurelli at ieee.org
Tue Mar 24 14:35:25 PDT 2015

*** UPDATE ***
Due to many requests, we are extending the deadline until the 1st of April.

   Call for Extended Abstracts for the ICRA 2015 Workshop on

         Persistent Autonomy for Aquatic Robotics:
             the Role of Control and Learning
             in Single and Multi-Robot Systems

                       Seattle, WA
               1-day workshop, 2015/05/30


There has been a steady increase in the deployment of autonomous 
underwater and surface vehicles (AUVs and ASVs) for applications such as 
hazardous waste mitigation, inspection and intervention for marine 
structures, environmental monitoring, and tracking of various 
biological, chemical, and physical processes. These emerging 
applications require solving unique challenges that arise when working 
in the underwater environment. The lack of reliable wireless 
communications between robots and a base station or with other robots 
makes remote control difficult, underwater vehicle dynamics are tightly 
coupled with the environmental dynamics making controls hard, and 
well-understood perception technologies do not always apply to the 
underwater environment. These challenges, in addition to our limited 
understanding of the complexities of the fluidic environment, make 
closed-loop control, online learning, and adaptive decision making 
difficult at best.

The purpose of this workshop is to bring together experts in the highly 
interdisciplinary field of autonomous underwater robotics to bridge the 
gap between (1) modeling and prediction for closed-loop control and (2) 
online learning and adaptation in highly dynamic and uncertain 
environments. Specifically we would like to highlight new work that lies 
at the intersection of robotics, control theory, artificial 
intelligence, machine learning, ocean science, and transport theory that 
addresses issues in modeling and prediction of the underwater 
environment. The techniques developed in this workshop will lead to 
improvements in control, learning, and adaptation for underwater systems 
that are paramount to effectively carrying out missions and achieving 
persistent autonomy in these environments.

We solicit 2-page extended abstracts to be included in the workshop as a 
poster presentation and short spotlight talk. Papers spanning one or 
more of the following topic areas are particularly encouraged:

-Motion Planning and Control
-Environmentally Constrained Path Planning
-Single and Multi-Agent Control
-Modeling and Prediction of Dynamic and Uncertain Environments
-Online Learning
-Distributed Control
-Coordination of Heterogeneous Systems
-Applications in Field Robotics
-Cloud Robotics
-Novel Testbeds, Actuators and Sensors

Submission website: https://easychair.org/conferences/?conf=paar15

Confirmed Invited Speakers

Geoff Hollinger, Oregon State University
Fumin Zhang, GA Tech
Ryan Eustice, University of Michigan
Gaurav Sukhatme, USC
Filippo Arrichiello, University of Cassino
Mandar Chitre, National University of Singapore
Matthew Dunbabin, QUT

Confirmed Government Panel Speakers

Marc Steinberg, ONR
Richard Voyles, OSTP

Important Dates

*** new ***
Extended Abstract Submission: 2015/04/01
Extended Abstract Notification: 2015/04/01
Workshop Date: 2015/05/30

Paper Format

standard ICRA 2-column format, max. 2 pages.
Accepted contributions will be given a poster presentation (plus 
spotlight talk) at the workshop.


Francesco Maurelli, Heriot-Watt University
David Lane, Heriot-Watt University
Ryan N. Smith, Fort Lewis College
Geoffrey Hollinger, Oregon State University
M. Ani Hsieh, Drexel University
Lino Marques, University of Coimbra
Kostas Kyriakopoulos, National Technical University Greece
Marc Carreras, University of Girona
Petar Kormushev, Italian Institute of Technology
Maria Fox, King's College London

For questions, please contact Francesco Maurelli (f.maurelli at ieee.org)
To submit an extended abstract, please click on 

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