International Workshop on
Hybrid Control of Autonomous Systems
Integrating Learning, Deliberation and Reactive Control
Call for Papers
Journal of Robotics and Autonomous Systems
Special Issue on Hybrid Control of Autonomous Systems
Aims and Objectives
High-level control for Autonomous Systems (e.g. robots) is concerned
with selecting the next action the system should perform. In
particular this means that the system must be endowed with algorithms
or schemes to take the next step towards its mission goal. The known
paradigms for this action selection problem are learning,
deliberation, reactive control schemes or combinations of these
schemes, i.e. hybrid approaches.
Learning has been applied successfully to many robotics tasks. Most
of the work is related to learning certain basic behaviours or
skills. Examples where the high-level control strategy of robots (or
agents) were successfully learned are rare. The deliberative approach
for decision making of autonomous systems was successfully treated in
research on Artificial Intelligence, following a top-down approach,
which has severe limitations in real applications. In the reactive
control paradigm the idea is that through a combination of purely
reactive action selection schemes intelligent and goal-directed
behaviours emerge, which can be seen as a bottom-up approach.
These paradigms have been known for over two decades, and in today's
applications often combinations of learning, deliberation, and
reactive control are used. Usually these combinations are used in an
ad-hoc or even unconscious fashion. Although there is a number of
proposed architectures and huge body of literature, the issue of
combining learning, reactive and deliberative control never has been
intensively investigated.
This special issue aims to survey a state of the art of hybrid systems
and to compile a collection of the problems, the challenges, and the
solutions of autonomous systems, i.e. robots or agent systems that
make use of hybrid approaches for high-level control. A
particular emphasis lies on the hybrid aspects of the presented
approach.
Paper Submission
Areas of interest include (but are not restricted to) hybrid decision
making, modelling of application domains which demands for hybrid
control and related with this the required capabilities/affordances
and needed robot behaviours. We solicit original work from the fields
of Agent Learning, Cognitive Robotics, and Behaviour-based Control,
deploying a hybrid approach for high-level control.
As a follow-up of the HYCAS workshop at the IJCAI-09
we invite in particular workshop participants to submit profoundly
extended versions of their workshop submission, which suits this special
issue. The call is nevertheless open to other interested researchers.
Papers should be typeset according to the
format instructions for the Robotics and Autonomous Systems journal,
available on the Elsevier web site. The length should not exceed 22 pages in
the above format (single column).
Other, non-standard formats (e.g., Word) cannot be accepted. In the body of the
e-mail message, please specify the following:
- Paper title
- Name, e-mail address and affiliation of all authors
- Phone, fax and postal address of the corresponding author
- Keywords (maximum 5)
- Abstract (maximum 200 words)
All submissions will be acknowledged within a few days. Please
contact the guest editors if you do not receive an acknowledgement.
Guest Editors
Important Dates
- December 1 2009: Paper submission deadline
- March 15 2010: Notification of paper acceptance
- April 10 2010: Camera ready paper submission
- Late Spring 2010: Expected publication date
Contact
Author of these pages: Nils T Siebel.
Last modified on Thu Mar 18 2010.
Last modified on Thu Mar 18 2010.
