Visual Servoing Control of Soft Robots ...
Document type :
Communication dans un congrès avec actes
Title :
Visual Servoing Control of Soft Robots based on Finite Element Model
Author(s) :
Zhang, Zhongkai [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Morales Bieze, Thor [Auteur]
Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS]
Deformable Robots Simulation Team [DEFROST ]
Université de Lille, Sciences et Technologies
Dequidt, Jeremie [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Université de Lille, Sciences et Technologies
Kruszewski, Alexandre [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Centrale Lille
Duriez, Christian [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Deformable Robots Simulation Team [DEFROST ]
Morales Bieze, Thor [Auteur]
Méthodes et Outils pour la Conception Intégrée de Systèmes [MOCIS]
Deformable Robots Simulation Team [DEFROST ]
Université de Lille, Sciences et Technologies
Dequidt, Jeremie [Auteur]

Deformable Robots Simulation Team [DEFROST ]
Université de Lille, Sciences et Technologies
Kruszewski, Alexandre [Auteur]

Deformable Robots Simulation Team [DEFROST ]
Centrale Lille
Duriez, Christian [Auteur]

Deformable Robots Simulation Team [DEFROST ]
Conference title :
IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
City :
Vancouver
Country :
Canada
Start date of the conference :
2017-09-24
Publication date :
2017-09-24
English keyword(s) :
robust stability
image features loss
simulation- based predictor
Finite Element Model
Soft robot
image features loss
simulation- based predictor
Finite Element Model
Soft robot
HAL domain(s) :
Informatique [cs]/Robotique [cs.RO]
English abstract : [en]
In this paper, we propose a strategy for the control of soft robots with visual tracking and simulation-based predictor. A kinematic model of soft robots is obtained thanks to the Finite Element Method (FEM) computed in ...
Show more >In this paper, we propose a strategy for the control of soft robots with visual tracking and simulation-based predictor. A kinematic model of soft robots is obtained thanks to the Finite Element Method (FEM) computed in real-time. The FEM allows to obtain a prediction of the Jacobian matrix of the robot. This allows a first control of the robot, in the actuator space. Then, a second control strategy based on the feedback of infrared cameras is developed to obtain a correction of the effector position. The robust stability of this closed-loop system is obtained based on Lyapunov stability theory. Otherwise, to deal with the problem of image features (the marker points placed on the end effector of soft robot) loss, a switched control strategy is proposed to combine both the open-loop controller and the closed-loop controller. Finally, experiments on a parallel soft robot driven by four cables are conducted and show the effectiveness of these methods for the real-time control of soft robots.Show less >
Show more >In this paper, we propose a strategy for the control of soft robots with visual tracking and simulation-based predictor. A kinematic model of soft robots is obtained thanks to the Finite Element Method (FEM) computed in real-time. The FEM allows to obtain a prediction of the Jacobian matrix of the robot. This allows a first control of the robot, in the actuator space. Then, a second control strategy based on the feedback of infrared cameras is developed to obtain a correction of the effector position. The robust stability of this closed-loop system is obtained based on Lyapunov stability theory. Otherwise, to deal with the problem of image features (the marker points placed on the end effector of soft robot) loss, a switched control strategy is proposed to combine both the open-loop controller and the closed-loop controller. Finally, experiments on a parallel soft robot driven by four cables are conducted and show the effectiveness of these methods for the real-time control of soft robots.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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