[robotics-worldwide] [journals] 2nd CFP: JFR Special Issue on Calibration for Field Robotics

Tim Barfoot tim.barfoot at utoronto.ca
Mon Sep 16 01:53:16 PDT 2013

2nd CFP:  JFR Special Issue on Calibration for Field Robotics

(Sept. 16 Update:  with the ICRA and FSR deadlines behind us, it's a
good time to plan your submission to this special issue!)

Special Issue Guest Editors:

Tim Barfoot (tim.barfoot at utoronto.ca), University of Toronto
Paul Furgale (paul.furgale at mavt.ethz.ch), ETH Zurich
Cédric Pradalier (cedric.pradalier at georgiatech-metz.fr), GeorgiaTech Lorraine

Every robotic system has some set of calibration parameters -- scale
factors, sensor locations, link lengths, etc. -- that are needed for
state estimation, planning, and control.  Some parameters are
difficult to measure by hand (e.g., due to the presence of sensor
enclosures).  Other parameters, despite best efforts during
construction, will change over the lifetime of a robot due to normal
wear and tear. It is often thought that autonomous systems will
require many complementary sensors operating in concert, but this also
means more calibration parameters to determine and manage.  In the
best case, incorrect parameter values degrade performance. In the
worst case, they cause critical safety issues.

Currently we are seeing a push by researchers to tackle questions of
long-term autonomy with the goal of widely deploying robotic systems
into the service of non-experts, as driver assistance systems, as
personal assistants, and in a host of other roles. To achieve these
goals, calibration parameters will have to be determined efficiently
and maintained over the lifetime of a robot.  Moreover, for the sake
of safety and security, robots will require a certain degree of
introspection in order to know when calibration parameters are no
longer viable or correct.

This special issue aims to publish outstanding results focusing on the
calibration challenge in robotics, from the design of calibration
tools and systems to the long-term deployment of robotic systems with
lifelong calibration and parameter learning, for one or many sensors,
from theoretic foundations of calibration techniques to field reports
on their application. Submissions should include significant field
testing on robotic systems in real-world environments. Papers with
only simulation or laboratory results will not be considered.

Topics of interest include:
-multi-sensor calibration
-online calibration and system identification
-power-on-and-go systems
-fault detection
-observability of calibration methods
-field reports of long-term calibration
-uncertainty-aware calibration
-time synchronization

JFR encourages multimedia attachments to submissions, including media
and datasets.

Important Dates:
-first CFP:  5 August 2013
-second CFP:  16 September 2013
-initial submission deadline:  1 December 2013
-reviews due:  1 March 2014
-author notification:  1 April 2014
-final manuscripts for publication:  1 June 2014

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