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Academic literature on the topic 'Interaction physique continue humain-Robot'
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Journal articles on the topic "Interaction physique continue humain-Robot"
Bouvier, Pierre. "Socioanthropologie." Anthropen, 2016. http://dx.doi.org/10.17184/eac.anthropen.026.
Full textDissertations / Theses on the topic "Interaction physique continue humain-Robot"
Tout, Bilal. "Identification of human-robot systems in physical interaction : application to muscle activity detection." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. https://ged.uphf.fr/nuxeo/site/esupversions/36d9eab3-c170-4e40-abb6-e6b4e27aeee2.
Full textOver the last years, physical human-robot interaction has become an important research subject, for example for rehabilitation applications. This PhD aims at improving these interactions, as part of model-based controllers development, using parametric identification approaches to identify models of the systems in interaction. The goal is to develop identification methods taking into account the variability and complexity of the human body, and only using the sensor of the robotic system to avoid adding external sensors. The different approaches presented in this thesis are tested experimentally on a one degree of freedom (1-DOF) system allowing the interaction with a person’s hand.After a 1st chapter presenting the state-of-the-art, the 2nd chapter tackles the identification methods developed in robotics as well as the issue of data filtering, analyzed both in simulation and experimentally. The question of the low-pass filter tuning is addressed, and in particular the choice of the cut-off frequency which remains delicate for a nonlinear system. To overcome these difficulties, a filtering technique using an extended Kalman filter (EKF) is developed from the robot dynamic model. The proposed EKF formulation allows a filter tuning depending on the known properties of the sensor and on the confidence on the initial parameters estimations. This method is compared in simulation and experimentally to different existing methods by analyzing its sensitivity to initialization and filter tuning. Results show that the proposed method is promising if the EKF is correctly tuned.The 3rd chapter concerns the continuous identification of the parameters of the model of a passive system interacting with a robotic system, by combining payload identification methods with online identification algorithms, without external sensors. These methods are validated in simulation and experimentally with the 1-DOF system whose handle is attached to elastic rubber bands to emulate a passive human joint. The analysis of the effects of the online methods tuning highlights a necessary trade-off between the convergence speed and the accuracy of the parameters estimates. Finally, the comparison of the payload identification methods shows that methods identifying separately the robotic system and the passive human parameters give better accuracy and a lower computation complexity.The 4th chapter deals with the identification during the human-robot interaction. A quadratic stiffness model is proposed to better fit the passive human joint behavior than a linear stiffness model. Then, this model is used with an iterative identification method based on outlier rejection technique, to detect the human user muscle activity without external sensors. This method is compared experimentally to a non-iterative method that uses electromyography (EMG), by adapting the 1-DOF system to interact with the wrist and to allow the detection of the flexor and extensor muscle activity of two human users. The proposed iterative identification method not using EMG signals achieves results close to those obtained with the non-iterative method using EMG signals when a model that correctly represents the passive human joint behavior is selected. The muscle activity detection results obtained with both methods show a satisfactory level of similarity compared to those obtained directly from EMG signals
Campeau-Lecours, Alexandre. "Développement d'algorithmes de commande et d'interfaces mécatroniques pour l'interaction physique humain-robot." Thesis, Université Laval, 2012. http://www.theses.ulaval.ca/2012/29608/29608.pdf.
Full textFor a long time, simple and advanced systems such as robots have been helping humans to accomplish several tasks. In some cases, the system simply replaces the operator while in other cases, the system cooperates with him/her. In the latter case, the system is more a tool used to increase performance or to avoid unpleasant tasks. The principal advantage of this human augmentation is to leave a certain latitude to the operator in the task decision process. Specific strengths of humans and robots are then combined to obtain a synergy, that is obtaining a more complete system than the sum of its parts. However, achieving complex tasks in a way that is intuitive to the human represents a huge challenge. While robots were previously segregated from humans and then designed and programmed accordingly, the new generation of robots must be able to perceive their environment and the human intentions and to respond to them safely, adequately, intuitively and ergonomically. This leads to several opportunities in a wide range of fields such as materials handling, assembly, physical rehabilitation, surgery, learning through haptic simulations, help to disabled people and others. This thesis comprises three parts. The first one deals with the control of physical interaction robots. The approach to an intuitive control, good practices, an interaction algorithm adapting to human intentions and the adaptation of a computed-torque control scheme for human-robot interaction are presented. The second part presents hands on payload systems which are more intuitive to use for the operator. These system developments include mechanical and advanced control innovations. The third part introduces safety features. First, the development of a vibration observer/controller algorithm is presented and then the development of a sensor detecting human proximity is reported. This thesis attempts to provide contributions, in a scientific spirit as much as for industrial applications requiring immediate solutions.
Fortineau, Vincent. "Couplage physique humain robot lors de tâches rythmiques en interaction avec l'environnement : estimation de l'impédance mécanique." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPAST077.
Full textRobots are more inclined to interact with humans or their environment for collaborative purposes. Knowledge on the human endpoint vis-coelastic properties during physical interactions provides insights for the field of human movement science and also for the design of innovative bio-inspired collaborative robotic control strategies. In this work, the focus is placed on a simplistic linear mechanical model of the human arm, with endpoint apparent parameters like stiffness, damping and mass. Perturbation rejection behaviours occuring remarkably during physical interactions can be met using this modelling.In order to estimate those properties for the human arm, an experimental test-bed was designed using an endpoint admittance controled polyarticulated robot. A benchmark task was used so that rhythmic movements emerged, while haptic feedback were introduced by the robot. A methodology to identify the linear parameters of the chosen impedance model was designed, tackling the issue of the estimation of virtual trajectories of the arm during dynamic movements. The estimations of the arm's virtual trajectories both in position and force relied on spline interpolations and sine optimisations, for small deviations that did not alter the performances of the task.A cohort of participants took part in experiments proposed to observe significant variations of the viscoelastic apparent parameters, and improve the understanding of the implications of such variations during a physical interaction with a robot. The famous trade-off between stability and transparency while the robot is coupled with an environment was then study thanks to the obtained estimations, to enhance the tuning of the endpoint admittance control empirically designed
Agravante, Don Joven. "Human-humanoid collaborative object transportation." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS224/document.
Full textHumanoid robots provide many advantages when working together with humans to perform various tasks. Since humans in general have alot of experience in physically collaborating with each other, a humanoid with a similar range of motion and sensing has the potential to do the same.This thesis is focused on enabling humanoids that can do such tasks together withhumans: collaborative humanoids. In particular, we use the example where a humanoid and a human collaboratively carry and transport objectstogether. However, there is much to be done in order to achieve this. Here, we first focus on utilizing vision and haptic information together forenabling better collaboration. More specifically the use of vision-based control together with admittance control is tested as a framework forenabling the humanoid to better collaborate by having its own notion of the task. Next, we detail how walking pattern generators can be designedtaking into account physical collaboration. For this, we create leader and follower type walking pattern generators. Finally,the task of collaboratively carrying an object together with a human is broken down and implemented within an optimization-based whole-bodycontrol framework
Sandoval, Arevalo Juan Sebastian. "Contribution à la commande en couple de robots redondants avec contrainte de RCM dans un contexte d'interaction physique humain-robot." Thesis, Orléans, 2017. http://www.theses.fr/2017ORLE2064/document.
Full textThe work developped in this PhD thesis concerns the control of redundant torque-controlled robots,dealing with two main issues. Firstly, we study the presence of a RCM constraint imposed to the end-effector. We propose two control approaches to guarantee this kinematic constraint. In the first one, the constraint is performed in the null-space of a main task defined in cartesian coordinates(position). An explicit definition of the null-space dynamics is applied on this control approach, and provides a secondary priority order to the RCM constraint. The second approach allows to define the constraint as the main task, obtaining the highest priority level, or in any desired priority level,according to the needs of the application. Therefore, we propose a new kinematic formulation of the RCM constraint.Secondly, we study the physical interaction between the robot’s body and its environment (e.g. human) during the cartesian global task execution. A null-space compliance control strategy is then proposed in order to preserve the global task when the contacts occur. This strategy, defined for anthropomorphic 7-DOF robots, is formulated in swivel angle coordinates, which is a direct representation of the robot’s null-space. A desired feasible range for the swivel angle values is defined by the user, and a spring-damping compliance law is used to constraint the robot to remain within the feasible angle values range, despite the external forces applied to the robot’s body. Robot-assisted minimally invasive surgery has been used throughout this thesis as an example of application, allowing to demonstrate the usefulness of our contributions
Liu, Mingxing. "Personnage virtuel : contrôleur hybride couplant commande dynamique multi-objectifs et mouvements capturés." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00825375.
Full textJarassé, Nathanaël. "Contributions à l'exploitation d'exosquelettes actifs pour la rééducation neuromotrice." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00641079.
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