Spring til hovednavigation Spring til søgning Spring til hovedindhold

MROS: A framework for robot self-adaptation

  • Gustavo Rezende Silva
  • , Nadia Hammoudeh Garcia
  • , Darko Bozhinoski
  • , Harshavardhan Deshpande
  • , Mario Garzon Oviedo
  • , Andrzej Wasowski
  • , Mariano Ramírez Montero
  • , Carlos Hernandez Corbato
  • Fraunhofer Institute for Manufacturing Engineering and Automation IPA
  • Free Universities of Brussels
  • Delft University of Technology

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

Self-adaptation can be used in robotics to increase system robust- ness and reliability. This work describes the Metacontrol method for self-adaptation in robotics. Particularly, it details how the MROS (Metacontrol for ROS Systems) framework implements and pack- ages Metacontrol, and it demonstrate how MROS can be applied in a navigation scenario where a mobile robot navigates in a factory floor. Video: https://www.youtube.com/watchvISe9aMskJuE
OriginalsprogEngelsk
Titel2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
UdgivelsesstedMelbourne
ForlagIEEE
Publikationsdato2023
ISBN (Elektronisk)979-8-3503-2263-7
DOI
StatusUdgivet - 2023
BegivenhedInternational Conference on Software Engineering - Melbourne, Australien
Varighed: 14 maj 202320 maj 2023
Konferencens nummer: 45
https://conf.researchr.org/home/icse-2023

Konference

KonferenceInternational Conference on Software Engineering
Nummer45
Land/OmrådeAustralien
ByMelbourne
Periode14/05/202320/05/2023
Internetadresse

Emneord

  • Navigation
  • Production facilities
  • Reliability
  • Mobile robots
  • Floors
  • Software engineering

Fingeraftryk

Dyk ned i forskningsemnerne om 'MROS: A framework for robot self-adaptation'. Sammen danner de et unikt fingeraftryk.

Citationsformater