Paper Info
Title
Localization Issues for an Autonomous Robot Moving in a Potentially Adverse Environment.
Abstract
The aim of this paper is to face with the problem of localizing a robot during the navigation in a partially unknown environment. This feature becomes particularly noteworthy especially in the case of a colony of robots, possibly working with humans, inside a scenario where motion issues are crucial. Within this context the focus on self-localization through GPS and INS/SINS integration overtakes merely questions about algorithm efficiency because self-localization is a relevant part of the task. Thus, unlike other approaches, we have focalised on this behavior as an attitude an autonomous system should enhance during the task execution. The tight coupling of GPS and INS sensors is understood as a mechanism which provides the autonomous robot with a refinement of INS use by comparing and/or adjusting the INS performance by exploiting the GPS-INS integration.
Year
DOI
Venue
2016
10.1007/978-3-319-48036-7_28
INTELLIGENT AUTONOMOUS SYSTEMS 14
Keywords
Field
DocType
GPS-INS integration,Localization,Neural network,Q-learning
Computer vision,Algorithmic efficiency,Computer science,Q-learning,Real-time computing,Autonomous system (mathematics),Artificial intelligence,Global Positioning System,Artificial neural network,Robot,Autonomous robot,Coupling (computer programming)
Conference
Volume
ISSN
Citations 
531
2194-5357
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
antonio d angelo192.02
Dante Degl'Innocenti2134.45