[robotics-worldwide] CFP for IEEE TAMD Special Issue on Behavior Understanding and Development Robotics

Çetin Meriçli cetin at cmu.edu
Sat Dec 15 19:42:26 PST 2012

Call for Papers: IEEE Transactions on Autonomous Mental Development
Special Issue on Behavior Understanding and Developmental Robotics

We solicit papers that inspect scientific, technological and
application challenges that arise from the mutual interaction of
developmental robotics and computational human behavior understanding.
While some of the existing techniques of multimodal behavior analysis
and modeling can be readily re-used for robots, novel scientific and
technological challenges arise when one aims to achieve human behavior
understanding in the context of natural and life-long human-robot
interaction. We seek contributions that deal with the two sides of
this problem:

1- Behavior analysis for developmental robotics: Robots need to be
capable to learn dynamically and incrementally how to interpret, and
thus understand multimodal human behavior. This includes for example
learning the meaning of new linguistic constructs used by a human,
learning to interpret the emotional state of particular users from
para-linguistic or non-verbal behavior, characterizing properties of
the interaction or learning to guess the intention, and potentially
the structure of goals of a human based on its overt behavior.
Furthermore, robots need in particular to be capable of learning new
tasks through interaction with humans, for example using imitation
learning or learning by demonstration. This heavily involves the
capacity for learning how to decode teaching behavior, including
linguistic and non-linguistic cues, feedback and guidance provided by
humans, as well as inferring reusable primitives in human behavior.

2- Behavior analysis through developmental robotics: Developmental
social robots can offer stimulating opportunities for improving
scientific understanding of human behavior, and especially to allow a
deeper analysis of the semantics and structure of human behavior.
Humans tend to interpret the meaning and the structure of other's
behaviors in terms of their own action repertoire, which acts as a
strong helping prior for this complex inference problem. Since robots
are also embodied and have an action repertoire, this can be used
leveraged as an experimental and theoretical tool to investigate human
behavior, and in particular, the development and change of behavior
over time.

Topics include the following, among others:
- Adaptive human-robot interaction
- Action and language understanding
- Sensing human behavior
- Incremental learning of human behavior
- Learning by demonstration
- Intrinsic motivation
- Robotic platforms for behavior analysis
- Multimodal interaction
- Human-robot games
- Semiotics for robots
- Social and affective signals
- Imitation

Contributions can exemplify diverse approaches to behavior analysis,
but the relevance to developmental robotics should be clear and
explicitly argumented. In particular, it should involve one of the
following: 1) incremental and developmental learning techniques, 2)
techniques that allow adapting to changes in human behavior, 3)
techniques that study evolution and change in human behavior.
Interested parties are encouraged to contact the editors with
questions about the suitability of a manuscript.


* Albert Ali Salah, Boğaziçi University, salah at boun.edu.tr
* Pierre-Yves Oudeyer, INRIA, pierre-yves.oudeyer at inria.fr
* Çetin Meriçli, Carnegie Mellon University, cetin at cmu.edu
* Javier Ruiz-del-Solar, Universidad de Chile, jruizd at ing.uchile.cl

Three kinds of submissions are possible:

* Regular papers, up to 15 double column pages, should describe new
empirical findings that utilize innovative methodological and/or
analytic techniques.
* Correspondence papers, up to 8 double column pages, can focus on a
limited set of relevant aspects in depth.
* Survey papers, describing classes of behavior analysis approaches in
developmental robotics. Before submitting a survey paper, the authors
should contact the guest editors.

Instructions for authors:


We are accepting submissions through Manuscript Central at

http://mc.manuscriptcentral.com/tamd-ieee (please select “Human
Behavior Understanding” as the submission type)

When submitting your manuscript, please also cc it to the editors.


30 April 2013: Deadline for paper submission
15 July 2013: Notification of the first round of review results
15 October 2013: Final version
20 October 2013: Electronic publication
December 2013: Printed publication


Dr. Çetin Meriçli
Computer Science Department
Carnegie Mellon University

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