MROS: runtime adaptation for robot control architectures-Reference-Cited by-同舟云学术

MROS: runtime adaptation for robot control architectures

Published:2022-03-04 Issue:11 Volume:36 Page:502-518
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Bozhinoski Darko¹^ORCID,Garzon Oviedo Mario²,Hammoudeh Garcia Nadia³,Deshpande Harshavardhan³,van der Hoorn Gijs²,Tjerngren Jon⁴,Wąsowski Andrzej⁵,Hernandez Corbato Carlos²^ORCID

Affiliation:

1. IRIDIA, Artificial Intelligence Lab, Université Libre de Bruxelles, Bruxelles, Belgium

2. TU Delft, Netherlands

3. Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Stuttgart, Germany

4. ABB Corporate Research Center Sweden, Vasteras, Sweden

5. IT University of Copenhagen, Kobenhavn, Denmark

Funder

ROSIN

European Union's Horizon 2020

Fonds de la Recherche Scientifique–FNRS

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2022.2039761

Reference34 articles.

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2. Perpetual Assurances for Self-Adaptive Systems

3. Stanley: The robot that won the DARPA Grand Challenge

4. Correll N, Bekris KE, Berenson D, et al. Lessons from the amazon picking challenge. CoRR. 2016; abs/1601.05484. Available from: http://arxiv.org/abs/1601.05484.

5. Integrating Different Levels of Automation: Lessons From Winning the Amazon Robotics Challenge 2016

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