Title
Path planning in GPS-denied environments: A collective intelligence approach
Abstract
This paper proposes a framework for reactive goal-directed navigation without global positioning facilities in unknown environments. A mobile sensor network is used for localization of regions of interest for path planning of an autonomous mobile robot in the absence of global positioning facilities. The underlying theory is an extension of a generalized gossip algorithm that has been recently developed in a language-measure-theoretic setting. The gossip algorithm has been used to propagate local decisions of target detection over a mobile sensor network and thus, it generates a belief for the target detected over the network. The proposed concept has been validated through numerical experiments with a mobile sensor network and a point mass robot.
Year
DOI
Venue
2015
10.1109/ACC.2015.7171806
American Control Conference
Keywords
Field
DocType
Global Positioning System,mobile robots,object detection,path planning,position control,robot vision,wireless sensor networks,GPS-denied environment,autonomous mobile robot,collective intelligence approach,global positioning facility,gossip algorithm,language-measure-theoretic setting,mobile sensor network,path planning,reactive goal-directed navigation,target detection
Mobile computing,Social robot,Computer science,Control engineering,Real-time computing,Artificial intelligence,Motion planning,Computer vision,Robot kinematics,Mobile robot navigation,Wireless sensor network,Mobile robot,Mobile telephony
Conference
ISSN
ISBN
Citations 
0743-1619
978-1-4799-8685-9
2
PageRank 
References 
Authors
0.38
12
4
Name
Order
Citations
PageRank
Pritthi Chattopadhyay172.48
Devesh K. Jha23211.10
Soumik Sarkar319728.75
Ray, A.4832184.32