Soft tissue force control using active observers and viscoelastic interaction model

Pedro Moreira 1 Chao Liu 1 Nabil Zemiti 1 Philippe Poignet 1
1 DEXTER - Conception et commande de robots pour la manipulation
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Controlling the interaction between the robot and living soft tissues has became an important issue as the number of robots inside the operating room increases. Many research works have been done in order to control this interaction. Nowadays, researches are running in force control for helping surgeons in medical procedures such as motion compensation in beating heart surgeries and tele-operation systems with haptic feedback. The viscoelasticity property of the interaction between organ tissue and robotic instrument further complicates the force control design which is much easier in other applications by assuming the interaction model to be elastic (industry, stiff object manipulation, etc.). In order to increase the performance of a model based force control, this work presents a force control scheme using Active Observer (AOB) based on a viscoelastic interaction model. The control scheme has shown to be stable through theoretical analysis and its performance was evaluated and compared with a control scheme based on a classical elastic model through experiments, showing that a more realistic model can increases the performance of the force control.
Type de document :
Communication dans un congrès
ICRA: International Conference on Robotics and Automation, May 2012, Saint Paul, MN, United States. IEEE, pp.4660-4666, 2012, 〈http://www.icra2012.org/〉. 〈10.1109/ICRA.2012.6224958〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00779205
Contributeur : Pedro Moreira <>
Soumis le : lundi 21 janvier 2013 - 18:13:47
Dernière modification le : jeudi 11 janvier 2018 - 02:03:40

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Pedro Moreira, Chao Liu, Nabil Zemiti, Philippe Poignet. Soft tissue force control using active observers and viscoelastic interaction model. ICRA: International Conference on Robotics and Automation, May 2012, Saint Paul, MN, United States. IEEE, pp.4660-4666, 2012, 〈http://www.icra2012.org/〉. 〈10.1109/ICRA.2012.6224958〉. 〈lirmm-00779205〉

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