Developing a Mobile Robot Control Application with CommonKADS-RT

Authors:
M. Henao;Jose Soler;Vicente J. Botti
Affiliations:
-;-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

Citing 7
Cited 0

The blackboard model of problem solving

AI Magazine
Misconceptions About Real-Time Computing: A Serious Problem for Next-Generation Systems

Computer
Doing hard time: developing real-time systems with UML, objects, frameworks, and patterns

Doing hard time: developing real-time systems with UML, objects, frameworks, and patterns
Knowledge engineering and management: the CommonKADS methodology

Knowledge engineering and management: the CommonKADS methodology
The Challenges of Real-Time AI

Computer
Applying the ARTIS Agent Architecture to Mobile Robot Control

IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Modelling Agents in Hard Real-Time Environments

MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

The advances achieved in Real-Time Artificial Intelligence (RTAI) allow us to apply techniques to build large applications. However, developing such applications require having a methodology that defines the techniques, tools and processes to allow for modeling their characteristics. There are several important lines of research in RTAI, such as architectures, languages, methods and methodologies. All of them provide the necessary information and knowledge to be able to build computer systems based on real-world problems. This paper describes CommonKADS-RT, a method to develop Real Time Intelligent Systems. This method is based on CommonKADS with the addition of necessary elements to model real time restrictions. We also present an application of this approach to the control of an autonomous mobile robot.