Difference between revisions of "Cognitive Robotics Resources"

Revision as of 13:39, 30 November 2014

The resources here are intended to support the IEEE Robotics and Automation Technical Committee for Cognitive Robotics. Many were developed as part of euCognition, an EU-funded network for the advancement of artificial cognitive systems.

General Information

Overview Articles

Topic Briefings

White Papers

Industrial and Application Issues

Outreach Initiatives

Research Material

Research Issues

Controversies in Cognitive Systems Research

White Papers

Dynamic Field Theory (DFT): Applications in Cognitive Science and Robotics

Observing Human Behaviour in Image Sequences: The Video-Hermeneutic Challenge

Cognitive Ontologies: Mapping Structure and Function of the Brain from a Systemic View

Coordinating with the Future: the Anticipatory Nature of Representation

Communication and Distributed Control in Multi-Agent Systems: Preliminary Model of Micro-unmanned Aerial Vehicle (MAV) Swarms

Enactive Artificial Intelligence

CoEvolutionary Approaches in Cognitive Robotic Systems Design

Action Selection for Intelligent Systems

Bibliography

Software Resources

AKIRA

AKIRA is an open source C++ framework for designing distributed, modular agent architectures (e.g., schema-based, behaviour-based, etc.) Some features of the framework include:

• support for decentralized, asynchronous and parallel processing;
• flexible implementation of the beahavior each module, with libraries for implementing soft computing algorithms (neural networks, fuzzy logic, fuzzy cognitive maps, etc.);
• flexible implementation of modules interaction (the default is inspired by complex systems research, i.e. local excitation and global inhibition among the modules);
• communication via blackboard and shared global variables;
• works under linux.

See: Giovanni Pezzulo and Gianguglielmo Calvi (2007). Designing Modular Architectures in the Framework AKIRA. Multiagent and Grid Systems, 3, 65--86.

More details.

AmonI - Artificial Models of Natural Intelligence

Behavior Oriented Design (BOD) and POSH Action Selection, and much more ...

Behaviour oriented design is a methodology for developing intelligent systems. It extends object oriented design to the special problems of proactive systems, including real-time systems for dynamic enviornments. To the extent that these systems are agents, they need goals and priorities; in BOD these are specified using POSH action selection.

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CAST: The CoSy Architecture Schema Toolkit

This a software toolkit to support the developments of intelligent systems based on a space of possible architecture designs described by the CoSy Architecture Schema (CAS). The CoSy Architecture Schema Toolkit (CAST) is a software implementation of this schema designed to allow researchers (primarily in the fields of AI and robotics) to develop instantiations of the schema. The toolkit supports C++ and Java, and provides a communication framework for distributing an instantiation across a network. Its primary scientific purpose is to maintain a separation between a system's architecture and the content of its architecture, allowing one to be varied independently of the other.

More details.

Education

Tutorials

Neuronal Dynamics Approaches to Cognitive Robotics

Tutorial on Embodiment

Control engineering of autonomous cognitive vehicles - a practical tutorial

On-line Courses

Summer Schools

Model Syllabus

Course Material

Exchanges and Visits

MSc Courses

PhD Programmes