[robotics-worldwide] [meetings] CfP ICRA'18 Workshop on Informative Path Planning and Adaptive Sampling

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[robotics-worldwide] [meetings] CfP ICRA'18 Workshop on Informative Path Planning and Adaptive Sampling

Stephanie Kemna
ICRA 2018 Workshop - Call for Papers

** Workshop on Informative Path Planning and Adaptive Sampling **
Website: http://robotics.usc.edu/~wippas/
When&where: Monday May 21 (full day), ICRA2018, Brisbane, Australia

Important Dates
March 7th: Submission deadline
April 19th: Notification of acceptance
April 26th: Camera ready paper
May 21st: Workshop (full-day)

Robots rely on models of themselves and the environment to understand
and act in the world around them. In many cases, these models are
trained on observed (sampled) data, and the goal is to collect the set
of data that will generate the most useful model within the resource
constraints of the operating robot system. This process is known as
adaptive informative sampling, and is applicable to a wide range of
robotic applications, from modeling environmental phenomena to
approximating value functions in reinforcement learning. However,
despite the prevalence of adaptive sampling methods in
state-of-the-art robotic applications, there are still many
challenging and open problems. For example, how should we estimate the
utility of future samples, or design information sharing protocols for
a multi-robot team such that they can effectively reason over their
joint sampling action?

The main goal of this workshop is to discuss and share ideas related
to informative path planning and adaptive sampling. This is a topic
that spans all robotic domains and we want to bring together
researchers from all fields—marine, ground and aerial robotics, as
well as the multi-agent and learning communities—who might otherwise
not be aware of the valuable techniques being developed in each of
these domains, and the correspondence between their research. This
workshop will look at the various aspects of informative path
planning, including, but not limited to, its theoretical foundations,
active sampling, spatio-temporal variability, and multi-robot
planning. One of the aims of this workshop is to generate candid
discussion on how these theoretical components interact with real
world robotic constraints such as imperfect sensing and resource
limitations. To that end, we also invite talks from potential
end-users; e.g. oceanographers, agriculturists, meteorologists.

Topics of interest include:
* Theoretical foundations of informative path planning and adaptive
* Exploration, mapping, surveillance, and inspection missions in
  unknown or dynamic environments
* Persistent environmental monitoring, particularly methods for
  handling spatial and/or temporal variability
* Information sharing and data fusion for multi-robot teams
* Coordination algorithms for multi-robot missions
* Handling real robot constraints, such as large volumes of data or
  communication constraints
* Budgeted sampling under resource limitations
* Employing these methods in practice for real-world applications

Invited speakers (confirmed)
* Dr. Debadeepta Dey, Microsoft Research
* Prof. Silvia Ferrari, Cornell University
* Prof. Geoff Hollinger, Oregon State University
* Prof. Bryan Kian Hsiang Low, National University of Singapore
* Prof. Fabio Ramos, University of Sydney
* Dr. John Ryan, Monterey Bay Aquarium Research Institute

Submissions & formats
Authors can submit:
- a 4 - 12 pages full paper for paper/oral presentation,
- a 2-page extended abstract for poster presentation.
All submissions should follow the standard ICRA conference format.


Submissions will be reviewed based on relevance to the workshop
topics, technical quality, and novelty.
Authors of accepted papers will give a contributed talk (10-12 minutes).
Authors of accepted posters will give a lightning talk (2-3 minutes),
and will present their poster during the poster session.

Organizing committee
* Stephanie Kemna (PoC: [hidden email]),
  University of Southern California, USA
* Jen Jen Chung, ETH Zurich, Switzerland
* Nicholas Lawrance, ETH Zurich, Switzerland
* Graeme Best, University of Sydney, Australia

This workshop is endorsed by the IEEE Technical Committee on Aerial
Robotics and Unmanned Aerial Vehicles, the Marine Robotics Technical
Committee, and the Technical Committee on Multi-Robot Systems.
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