English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. Item Summary / 
  2. View item

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Object Recognition in Swarm Systems: Preliminary Results

Stegagno, P., Massidda, C., & Bülthoff, H. (2014). Object Recognition in Swarm Systems: Preliminary Results. In Workshop on the Centrality of Decentralization in Multi-Robot Systems: Holy Grail or False Idol? (IEEE ICRA 2014) (pp. 1-3).

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0027-8098-B Version Permalink: https://hdl.handle.net/21.11116/0000-0001-2D29-0
Genre: Conference Paper

Files

show Files
hide Files
:
ICRA-2014-Stegagno2.pdf (Any fulltext), 785KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0001-2D2A-F
Name:
ICRA-2014-Stegagno2.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
http://homepages.laas.fr/afranchi/events/icra2014mrs/w/Home.html (Abstract)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Stegagno, P1, 2, Author           
Massidda, C1, 2, Author           
Bülthoff, HH1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: Object recognition is a fundamental topic for the development of robotic systems able to interact with the environment. Most existing methods are based on vision systems and assume a broad point of view over the objects, which are observed in their entirety. This assumption is sometimes difficult to fulfill in practice, and in particular in swarm systems, constituted by a multitude of small robots with limited sensing and computational capabilities. We have developed a method for object recognition with a heterogeneous swarm of low-informative spatially-distributed sensors employing a distributed version of the naive Bayes classifier. Simulation results show the effectiveness of this approach highlighting some nice properties of the developed algorithm.

Details

show
hide
Language(s):
 Dates: 2014-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: StegagnoMB2014
 Degree: -

Event

show
hide
Title: Workshop on the Centrality of Decentralization in Multi-Robot Systems: Holy Grail or False Idol? (IEEE ICRA 2014)
Place of Event: Hong Kong, China
Start-/End Date: -

Legal Case

show

Project information

show

Source 1

show
hide
Title: Workshop on the Centrality of Decentralization in Multi-Robot Systems: Holy Grail or False Idol? (IEEE ICRA 2014)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 3 Identifier: -