English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios

Tallamraju, R., Rajappa, S., Black, M. J., Karlapalem, K., & Ahmad, A. (2018). Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios. In 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2018) (pp. 112-119). Piscataway, NJ: IEEE. doi:10.1109/SSRR.2018.8468655.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0003-704F-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-0604-8
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Tallamraju, Rahul1, Author           
Rajappa, Sujit2, Author
Black, Michael J.1, Author           
Karlapalem, Kamalakar2, Author
Ahmad, Aamir1, Author                 
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: Abt. Black
 Abstract: -

Details

show
hide
Language(s): eng - English
 Dates: 2018-09-202018
 Publication Status: Issued
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: decMPC18
DOI: 10.1109/SSRR.2018.8468655
 Degree: -

Event

show
hide
Title: IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2018)
Place of Event: Philadelphia, PA, USA
Start-/End Date: 2018-08-06 - 2018-08-08

Legal Case

show

Project information

show

Source 1

show
hide
Title: 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2018)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 112 - 119 Identifier: ISBN: 978-1-5386-5572-6
ISBN: 978-1-5386-5571-9
ISBN: 978-1-5386-5573-3
ISSN: 2475-8426