On the identification of industrial robots: Overview and basic principles
Robot identification is a topic that has been intensively investigated over the last four decades. In this webinar, we present an overview and the basic principles of robot identification. It includes a general description of robots, the motivation of robot identification, robot modeling, data filtering, parameters estimation, and experimental results obtained with the TX40 robot.
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- Date: 24 May 2022
- Time: 05:00 PM to 06:00 PM
- All times are (GMT+02:00) Asia/Beirut
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Alexandre JANOT
On the identification of industrial robots: Overview and basic principles
Robot identification is a topic that has been intensively investigated over the last four decades. In this webinar, we present an overview and the basic principles of robot identification. It includes a general description of robots, the motivation of robot identification, robot modeling, data filtering, parameters estimation, and experimental results obtained with the TX40 robot.
Biography:
Alexandre Janot, born in 1980 in France, obtained his Ph.D. in robot identification in 2007 at the French Atomic Energy Commission, Fontenay aux Roses, France, and his Habilitation in robotics and system identification at the Polytechnic National Institute of Toulouse, Toulouse, France, in 2017. In November 2010, he joined ONERA, the French Aerospace Lab, where his works focus on system identification applied to robots and aircraft. He is a fan of football and a supporter of FC Internazionale Milano.
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