[robotics-worldwide] [meetings] [ICRA2014] Final CfP: ICRA 2014 Workshop: Robots in Homes and Industry: Where to Look First?
ekaterina.v.potapova at gmail.com
Tue Apr 1 03:38:34 PDT 2014
Call for Papers
ICRA 2014: half-day workshop on
Robots in Homes and Industry: Where to Look First?
01 June 2014, Hong Kong, China
Visual search in complex scenes remains a challenging problem as
robots start to move into less structured factory floors and homes.
The recent move to RGB-D processing has helped simplify some vision
problems, but also led to increased amounts of data to be processed.
In these scenarios robots will always face situations, no matter how
optimised and parallelised the vision algorithms, where the visual
input is too overwhelming to process within the time constraints of
the task at hand.
Visual attention is an integral part of human vision that allows
humans to process the relevant parts of a scene from a large sensory
stream within the harsh time constraints of real world tasks. Robotic
vision research has realised the importance of attention mechanisms,
and many systems use some form of attention to direct the processing
to the parts of the sensory input that are potentially of interest,
such as objects emerging from a supporting plane. The last decade has
also seen an increasing number of principled approaches on making
attention mechanisms an integral part also of robotic vision systems.
This poses a number of interesting challenges, such as selection of
suitable mechanisms from a large body of work on biologically
plausible attention models, fusing general purpose bottom-up and
task-driven top-down attention mechanisms, how to use attention in a
given task setting to guarantee robot performance within specific time
constraints, how to integrate attention algorithmically into the
various processes of an integrated robotic architecture, and coping
with conflicting goals such as paying attention to avoid collision
with humans while looking at task relevant target locations.
In order to tackle these problems, the robotics community needs
continuous collaboration and communication with researchers on the
psychology and neurology of biological vision systems. While the
algorithms and architectural implementations will necessarily differ,
insights from biological vision are highly relevant in this still
poorly understood field of robot vision.
Submissions for Full papers are due on Monday, April 15, 2014 by
11:59:59 PDT. All papers must be submitted using EasyChair. If you
have any questions regarding the workshop, please email to
icra2014workshop at acin.tuwien.ac.at with the subject [ICRA2014
Workshop: Robots in Homes and Industry].
All papers for the workshop must be submitted in PDF format and
conform to ICRA 2014 Proceedings specifications.
- Templates are available for Word and Latex.
- Page limit is 6 pages (including figures and references).
- All papers must be submitted in PDF format.
- Submission is not blind.
- Bottom-up visual attention and saliency
- Top-down visual attention and visual search
- Visual attention and scene exploration in 3D
- Attention-driven segmentation and active vision in 2D/3D
- Multi-modal attention integrating data from different sensors
- Interaction of attention with other robotic modules (e.g. planning,
All papers must be submitted in PDF format and conform to conference
proceedings specifications. We will accept papers up to 6 pages long.
We encourage submissions with both original work and work that has
been already presented at another venue. Each paper will be assigned
at least two reviewers. The paper will be evaluated based on the
relevance to the workshop topic, technical soundness and significance
to the community. We support submissions with both a strong technical
contribution and well-described/evaluated integration in working
systems. Selected papers will be grouped into two sessions, in order
to organize the discussion thematically.
- 15 April 2014, Paper submission deadline
- 30 April 2014, Notification of acceptance
- 01 June 2014, Workshop at ICRA 2014
Michael Zillich (Vienna University of Technology, Austria)
Simone Frintrop (University of Bonn, Germany)
Fiora Pirri (University of Rome, Italy)
Jim Little (University of British Columbia, Canada)
Ekaterina Potapova (Vienna University of Technology, Austria)
More information about the robotics-worldwide