[robotics-worldwide] [meetings] Call for Participation: ICRA'18 Workshop on Informative Path Planning and Adaptive Sampling

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[robotics-worldwide] [meetings] Call for Participation: ICRA'18 Workshop on Informative Path Planning and Adaptive Sampling

Stephanie Kemna
We invite you to participate in the ICRA'18 Workshop on Informative Path
Planning and Adaptive Sampling!


** Workshop on Informative Path Planning and Adaptive Sampling **
Website: http://robotics.usc.edu/~wippas/
Monday May 21 (full day), ICRA2018, Brisbane, Australia
Mo-W1, room M2

09.00     Opening Remarks
09.10     Invited Talk: Fabio Ramos
09.50     Invited Talk: John Ryan & Yanwu Zhang
10.30     Coffee Break
11.00     Invited Talk: Silvia Ferrari
11.40     Contributed Talks (5 talks of 10 min.)
12.30     Lunch
14.00     Invited Talk: Bryan Low
14.40     Lightning Talks (6 talks of 3 min.)
15.00     Coffee Break & Poster Session
15.30     Poster Session cont.
15.45     Invited Talk: Sanjiban Choudhury
16.25     Invited Talk: Geoff Hollinger
17.05     Discussion & Close

Contributed Talks:
* Using POMDP with raw observations for detecting and recognizing objects
of interest
   Jean-Loup Farges, Guillaume Infantes, Charles Lesire and Augustin Manecy
* Cost-Benefit Optimization with Applications to Risky Informative Path
  Stefan Jorgensen and Marco Pavone
* Leveraging Localisation Information into Bayesian Optimisation for
Planning in Robotics
  Rafael Dos Santos de Oliveira, Lionel Ott, Vitor Guizlini and Fabio Ramos
* On-Line Solution of Spatio-temporal Information Sampling in Wind
  Martin Selecký, Petr Váňa and Jan Faigl
* Perception-aware Receding Horizon Navigation for MAVs
  Zichao Zhang and Davide Scaramuzza

Lightning Talks:
* Functional Path Optimisation for Exploration in Continuous Occupancy Maps
  Gilad Francis, Lionel Ott and Fabio Ramos
* Multi-robot task allocation for collaborative adaptive informative
sampling in structured environments
  Nicholas Fung, John Rogers, Carlos Nieto, Stephanie Kemna, Gaurav
Sukhatme and Henrik Christensen
* Path Evaluation via HMM on Semantical Occupancy Grid Maps
  Timo Korthals, Julian Exner, Thomas Schöpping and Marc Hesse
* Multirobot foraging using the graphical multiarmed bandit framework
  Peter Landgren, Paul Reverdy, Vaibhav Srivastava and Naomi Leonard
* Generalising Cost-Optimal Particle Filtering
  Andrew Warrington and Neil Dhir
* Reachability-based Adaptive UAV Scheduling and Planning in Cluttered and
Dynamic Environments
  Esen Yel and Nicola Bezzo

See http://robotics.usc.edu/~wippas/program.html for talk abstracts and

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.

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, Oregon State University, USA & University of Sydney,

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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