Paper Info
Title
Introspection On Control-Grounded Capabilities - A Task Allocation Study Case In Robot Soccer
Abstract
Our proposal is aimed at achieving reliable task allocation in physical multi-agent systems by means of introspection on their dynamics. This new approach is beneficial as it improves the way agents can coordinate with each other to perform the proposed tasks in a real cooperative environment. Introspection aims at including reliable physical knowledge of the controlled systems in the agents' decision-making. To that end, introspection on control-grounded capabilities, inspired by the agent metaphor, are used in the task utility/cost functions. Such control-grounded capabilities guarantee an appropriate agent-oriented representation of the specifications and other relevant details encapsulated in every automatic controller of the controlled systems. In particular, this proposal is demonstrated in the successful performing of tasks by cooperative mobile robots in a simulated robot soccer environment. Experimental results and conclusions are shown, stressing the relevance of this new approach in the sure and trustworthy attainment of allocated tasks for improving multi-agent performance.
Year
Venue
Keywords
2007
ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-2: ROBOTICS AND AUTOMATION, VOL 2
machine learning in control applications, software agents for intelligent control systems, mobile robots and autonomous systems, autonomous agents, reasoning about action for intelligent robots
Field
DocType
Citations 
Introspection,Computer science,Robot,Multimedia
Conference
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Christian G. Quintero184.81
Salvador Ibarra M.200.34
Josep Lluís De La Rosa326041.38
Josep Vehí47218.72