International Workshop on
Hybrid Control of Autonomous Systems
Integrating Learning, Deliberation and Reactive Control
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.
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.
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
- 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).
Nils T Siebel
Building Automation Lab
Department of Engineering 1
HTW University of Applied Sciences Berlin
Institute for Software Technology
Faculty of Computer Science
Graz University of Technology
Robotics and Agents Research Laboratory
Department of Mechanical Engineering
University of Cape Town
Cape Town, South Africa
Intelligent Systems Group
Department of Computer Science
University of Duisburg-Essen
Author of these pages: Nils T Siebel.
Last modified on Tue Feb 16 2010.
Last modified on Tue Feb 16 2010.