Hebbian Plasticity in CPG Controllers Facilitates Self-Synchronization for Human-Robot Handshaking

Melanie Jouaiti 1 Lancelot Caron 2 Patrick Henaff 1, 2
1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : It is well-known that human social interactions generate synchrony phenomena which are often unconscious. If the interaction between individuals is based on rhythmic movements, synchronized and coordinated movements will emerge from the social synchrony. This paper proposes a plausible model of plastic neural controllers that allows the emergence of synchronized movements in physical and rhythmical interactions. The controller is designed with central pattern generators (CPG) based on rhythmic Rowat-Selverston neurons endowed with neuronal and synaptic Hebbian plasticity. To demonstrate the interest of the proposed model, the case of handshaking is considered because it is a very common, both physically and socially, but also, a very complex act in the point of view of robotics, neuroscience and psychology. Plastic CPGs controllers are implemented in the joints of a simulated robotic arm that has to learn the frequency and amplitude of an external force applied to its effector, thus reproducing the act of handshaking with a human. Results show that the neural and synaptic Hebbian plasticity are working together leading to a natural and autonomous synchronization between the arm and the external force even if the frequency is changing during the movement. Moreover, a power consumption analysis shows that, by offering emergence of synchronized and coordinated movements, the plasticity mechanisms lead to a significant decrease in the energy spend by the robot actuators thus generating a more adaptive and natural human/robot handshake.
Type de document :
Article dans une revue
Frontiers in Neurorobotics, Frontiers, 2018, 12, pp.1-15. 〈10.3389/fnbot.2018.00029〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01811316
Contributeur : Melanie Jouaiti <>
Soumis le : vendredi 8 juin 2018 - 17:53:05
Dernière modification le : mercredi 18 juillet 2018 - 18:34:01

Lien texte intégral

Identifiants

Collections

Citation

Melanie Jouaiti, Lancelot Caron, Patrick Henaff. Hebbian Plasticity in CPG Controllers Facilitates Self-Synchronization for Human-Robot Handshaking. Frontiers in Neurorobotics, Frontiers, 2018, 12, pp.1-15. 〈10.3389/fnbot.2018.00029〉. 〈hal-01811316〉

Partager

Métriques

Consultations de la notice

120