You are currently viewing a new version of our website. To view the old version click .

Best Paper Award

Dear Colleagues,

We are pleased to announce the winners of the Applied Sciences 2021 Best Paper Award in the Section “Robotics and Automation”. All papers published in 2021 in the Applied Sciences Section “Robotics and Automation” were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, two winners were selected.

Review:
Inertial Parameter Identification in Robotics: A Survey
by Quentin Leboutet*, Julien Roux, Alexandre Janot, Julio Rogelio Guadarrama-Olvera and Gordon Cheng
Appl. Sci. 2021, 11(9), 4303; https://doi.org/10.3390/app11094303

Article:
Digital Twin for Designing and Reconfiguring Human–Robot Collaborative Assembly Lines
by Niki Kousi, Christos Gkournelos, Sotiris Aivaliotis, Konstantinos Lotsaris, Angelos Christos Bavelos, Panagiotis Baris, George Michalos and Sotiris Makris*
Appl. Sci. 2021, 11(10), 4620; https://doi.org/10.3390/app11104620

Each winner will receive CHF 500 and a chance to publish a paper in Applied Sciences in 2023 after peer review.

Please join us in congratulating the winners of the Applied Sciences 2021 Best Paper Award in the Section “Robotics and Automation”. We would also like to take this opportunity to thank all of our authors for your continued support of Applied Sciences.

Kind regards,
Applied Sciences Editorial Office

Applied Sciences logo

Applied Sciences Best Paper Award

Winners announced

Eligibility and Requirements

– All papers published in Applied Sciences will be eligible (Both regular and Special Issue submissions).

Past Winners

Winner
Award Committee
  • Alejandro Pérez-Rodróhiez avatar imageAlejandro Pérez-Rodróhiez
    Alejandro Pérez-Rodróhiez
    Chairman
  • Alessandro Gasparetto avatar imageAlessandro Gasparetto
    Alessandro Gasparetto
    University of Udine
  • Thomas Lindner avatar imageThomas Lindner
    Thomas Lindner
  • Atsushi Mase avatar imageAtsushi Mase
    Atsushi Mase
    Kyushu University

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Appl. Sci. - ISSN 2076-3417