Cognitive Robotics Resources

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.

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

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.

YARP: Yet Another Robot Platform

YARP is a thin middleware for humanoid robots (and more). YARP supports building a robot control system as a collection of programs communicating in a peer-to-peer way, with an extensible family of connection types (tcp, udp, multicast, local, MPI, mjpg-over-http, XML/RPC, tcpros, ...) that can be swapped in and out to match your needs. It also supports similarly flexible interfacing with hardware devices. The strategic goal is to increase the longevity of robot software projects.

More details.

Education

Tutorials

The dynamic neural field approach to cognitive robotics Neuronal Dynamics Approaches to Cognitive Robotics

Tutorial on Embodiment

Control engineering of autonomous cognitive vehicles - a practical tutorial

Model Curriculum

Cognitive Systems Model Curriculum

=== Course Material ===

Artificial Cognitive Systems

Teaching material to support Artificial Cognitive Systems - A Primer, MIT Press, 2014.

Cognitive Computer Vision

This course was prepared by Kingsley Sage and Hilary Buxton at the University of Sussex. It focusses mainly on generative models and deals with such issues as Bayesian Networks, Gaussian Mixtures, and Hidden Markov Models. There are 15 lectures and slides for the entire course are available for download from the ECVision website.

Human Vision

The Human Vision System

Artificial Intelligence and Robotics

[0=im_field_link_category%3A3712&f[1]=im_field_tags%3A3789&solrsort=ds_field_publication_date%20desc Resources for Educators from the Artificial Intelligence Topics website]