Difference between revisions of "MRT"

From AIRWiki
Jump to: navigation, search
(Introduction)
(Introduction)
Line 7: Line 7:
 
Artificial Intelligence and Robotic Laboratory of the Dept. of Electronics
 
Artificial Intelligence and Robotic Laboratory of the Dept. of Electronics
 
and Information at Politecnico di Milano.
 
and Information at Politecnico di Milano.
    MRT, Modular Robotic Toolkit, is a framework where a set of off-the-
+
 
 +
MRT, Modular Robotic Toolkit, is a framework where a set of off-the-
 
shelf modules can be easily combined and customized to realize robotic appli-
 
shelf modules can be easily combined and customized to realize robotic appli-
 
cations with minimal effort and time. The framework has been designed to
 
cations with minimal effort and time. The framework has been designed to
Line 14: Line 15:
 
people in indoor environments, and exploring unknown environments in a
 
people in indoor environments, and exploring unknown environments in a
 
space setting.
 
space setting.
    The aim of this manual is to present the software architecture and make
+
 
 +
The aim of this manual is to present the software architecture and make
 
the user comfortable with the use and configuration of the different modules
 
the user comfortable with the use and configuration of the different modules
 
that can be integrated in the framework, so that it will be easy to develop
 
that can be integrated in the framework, so that it will be easy to develop

Revision as of 12:29, 28 April 2009

Modular Robotic Toolkit


Introduction

This is the Modular Robotic Toolkit user manual, a comprehensive guide to the software architecture for autonomous robots developed by the AIRLab, Artificial Intelligence and Robotic Laboratory of the Dept. of Electronics and Information at Politecnico di Milano.

MRT, Modular Robotic Toolkit, is a framework where a set of off-the- shelf modules can be easily combined and customized to realize robotic appli- cations with minimal effort and time. The framework has been designed to be used in different applications where a distributed set of robot and sensors interact to accomplish tasks, such as: playing soccer in RoboCup, guiding people in indoor environments, and exploring unknown environments in a space setting.

The aim of this manual is to present the software architecture and make the user comfortable with the use and configuration of the different modules that can be integrated in the framework, so that it will be easy to develop robotic applications using MRT. For this reason, each chapter will include some examples of code and configuration files.

MRT Architecture

MrBrian: Multilevel Ruling Brian Reacts by Inferential ActioNs

The Behavior-based Paradigm

The Overall Architecture

Fuzzy predicates

    ==== CANDO and WANT Conditions====
    ==== Informed Hierarchical Composition ====
    ==== Output Generation ====

Modules

   ==== Fuzzyfier ====
   ==== Preacher ====
   ==== Predicate Actions ====
   ==== Candoer ====
   ==== Wanter ====
   ==== Behavior Engine ====
   ==== Rules Behavior ====
   ==== Composer ====
   ==== Defuzzyfier ====
   ==== Parser and Messenger ====

Configuration Files and Examples

   ==== Fuzzy Sets ====
   ==== Fuzzy Predicates ====
   ==== Predicate Actions ====
   ==== CANDO and WANT Conditions ====
   ==== Playing with activations TODO ====
   ==== Defuzzyfication ====
   ==== Behavior Rules ====
   ==== Behavior List ====
   ==== Behavior Composition ====
   ==== Parser and Messenger ====
   ==== Using Mr. BRIAN ====

DCDT: The Middleware

MAP Anchors Percepts

MUREA: Multi-Resolution Evidence Accumulation

SCARE Coordinates Agents in Robotic Environments

SPIKE Plans In Known Environments