Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Exploration strategies based on Multi-Criteria Decision Making for search and rescue autonomous robots
 

Summary: Exploration strategies based on Multi-Criteria Decision
Making for search and rescue autonomous robots
Nicola Basilico
Politecnico di Milano, Italy
basilico@elet.polimi.it
Francesco Amigoni
Politecnico di Milano, Italy
amigoni@elet.polimi.it
ABSTRACT
Autonomous mobile robots are considered a valuable technology
for search and rescue applications, where an initially unknown en-
vironment has to be explored to locate human victims. In this sce-
nario, robots exploit exploration strategies to autonomously move
around the environment. Most of the strategies proposed in litera-
ture are based on the idea of evaluating a number of candidate lo-
cations according to ad hoc utility functions that combine different
criteria. In this paper, we show some of the advantages of using a
more theoretically-grounded approach, based on Multi-Criteria De-
cision Making (MCDM), to define exploration strategies for robots
employed in search and rescue applications. We implemented some

  

Source: Amigoni, Francesco - Dipartimento di Elettronica e Informazione, Politecnico di Milano

 

Collections: Computer Technologies and Information Sciences