A Framework for Robust Sensing in Multi-agent Systems

Authors:
Andrea Bonarini;Matteo Matteucci;Marcello Restelli
Affiliations:
-;-;-
Venue:
RoboCup 2001: Robot Soccer World Cup V
Year:
2002

Citing 3
Cited 1

Learning to Perceive and Act by Trial and Error

Machine Learning
Navigating Mobile Robots: Systems and Techniques

Navigating Mobile Robots: Systems and Techniques
Grounded Symbolic Communication between Heterogeneous Cooperating Robots

Autonomous Robots

Problems and solutions for anchoring in multi-robot applications

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Marco Somalvico Memorial Issue

Quantified Score

Hi-index	0.01

Visualization

Abstract

We present the framework we have adopted to implement robust sensing in the Milan Robocup F-2000 Team. The main issue concerns the definition of symbolic models both for the single agent and for the whole multi-agent system. Information about physical objects is collected by intelligent sensors and anchored to symbolic concepts. These are used both to control the robots through a behavior-based system, and to improve the global knowledge about the environment.