International Workshop on
Hybrid Control of Autonomous Systems
Integrating Learning, Deliberation and Reactive Control
News
The deadlines for manuscript submission, acceptance notification and camera ready for the special issue of the Elsevier RAS journal on the HYCAS theme have been extended.
The Proceedings of the HYCAS 2009 workshop are now available online.
About HYCAS
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, with a combination of
purely reactive action selection schemes, intelligent and
goal-directed behaviours emerge, which can be seen as a
bottom-up approach.
These different paradigms have been known for over two decades, and in
fact, 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.
With this workshop we wish to bring together researchers from different areas who concentrate on combinations of learning, planning, and/or reactive schemes for decision making and the control of autonomous systems. The workshop is open to all members of the AI and Robotics community. We would specifically like to encourage students to participate.
Topics
The questions to be addressed in this workshop are:
- How can learning, deliberation and/or reactive control be combined in a beneficial way?
- What are common representations for learning, deliberation, and/or reactive control such that the methods can benefit from each other?
- What are the challenging domains demanding for hybrid control?
- What are its successful applications?
We solicit work from these areas:
- Decision Making
- Modelling of Domains and Capabilities
- Agent Learning
- Cognitive Robotics
- Emergent Control
- Behaviour-based Robotics
- Developmental and Epigenetic Robotics
- Learning Models of Robot Behaviours
- Monitoring
- Architectures and Architectural Patterns
- Applications of Hybrid Control
Location and Dates
The first HYCAS workshop, HYCAS 2009, was held in Pasadena, California, USA, on July 13 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence (IJCAI-09).
Organisers
|
Nils T Siebel Building Automation Lab Department of Engineering 1 HTW University of Applied Sciences Berlin Berlin, Germany |
Gerald Steinbauer Institute for Software Technology Faculty of Computer Science Graz University of Technology Graz, Austria |
|
Alexander Ferrein Robotics and Agents Research Laboratory Department of Mechanical Engineering University of Cape Town Cape Town, South Africa |
Josef Pauli Intelligent Systems Group Department of Computer Science University of Duisburg-Essen Duisburg, Germany |
Contact
Author of these pages: Nils T Siebel.
Last modified on Tue Feb 16 2010.
Last modified on Tue Feb 16 2010.
