Title
Online Decentralized Perception-Aware Path Planning for Multi-Robot Systems
Abstract
This paper proposes a decentralized and online optimal perception-aware strategy for multi-robot systems. The aim is to maximize the information collected along the planned trajectory about the relative configurations of the robots and, hence, to minimize the localization uncertainty. This is done by leveraging the so-called Constructability Gramian (CG), which can quantify the information about t...
Year
DOI
Venue
2021
10.1109/MRS50823.2021.9620694
2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS)
DocType
ISBN
Citations 
Conference
978-1-6654-2926-9
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Nicola De Carli100.34
Paolo Salaris200.34
Paolo Robuffo Giordano300.34