Extensive experimental investigation for the optimization of the energy consumption of a high payload industrial robot with open research dataset-Reference-Cited by-同舟云学术

Extensive experimental investigation for the optimization of the energy consumption of a high payload industrial robot with open research dataset

Published:2021-04 Issue: Volume:68 Page:102046
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Gadaleta Michele,Berselli Giovanni,Pellicciari Marcello,Grassia Federico

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference39 articles.

1. The collaborative factory of the future;Moghaddam;Int. J. Comput. Integr. Manuf.,2017

2. Industrial robotics in factory automation: From the early stage to the internet of things;Grau,2017

3. Multi-robot spot-welding cells for car-body assembly: design and motion planning;Pellegrinelli;Rob. Comput. Integr. Manuf.,2017

4. A case study for a digital twin of body-in-white production systems general concept for automated updating of planning projects in the digital factory;Biesinger,2018

5. AREUS - Innovative hardware and software for sustainable industrial robotics;Pellicciari,2015

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