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Best Paper Award for "Inertial Parameter Identification in Robotics: A Survey" in Applied Sciences 2021 Robotics and Automation


We are delighted to announce that our paper "Inertial Parameter Identification in Robotics: A Survey" https://www.mdpi.com/2076-3417/11/9/4303 by Quentin Leboutet has won the best paper award in section "Robotics and Automation" from Applied Sciences MDPI

The paper, co-authored by Quentin Leboutet, Julien Roux, Alexandre Janot, Julio Rogelio Guadarrama Olvera, and Gordon Cheng, presents a comprehensive survey on inertial parameter identification in robotics. Their contributions continue to shape the future of robotics and automation, and we are privileged to have such talented individuals driving innovation in our midst.

https://www.mdpi.com/journal/applsci/awards.pdf/0/pdf_90_2021_17_award_645e148703e68.pdf