Evaluation of human-robot object co-manipulation under robot impedance control - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Evaluation of human-robot object co-manipulation under robot impedance control

Résumé

The human-robot collaboration is a promising and challeng- ing field of robotics research. One of the main collaboration tasks is the object co-manipulation where the human and robot are in a continuous physical interaction and forces exerted must be handled. This involves some issues known in robotics as physical Human-Robot Interaction (pHRI), where human safety and interaction comfort are required. Moreover, a definition of interaction quality metrics would be relevant. In the current work, the assessment of Human-Robot object co-manipulation task was explored through the proposed metrics of interaction quality, based on human forces throughout the movement. This analysis is based on co-manipulation of objects with different dynamical properties (weight and inertia), with and without including these properties knowledge in the robot control law. Here, the human is a leader of task and the robot the follower without any information of the human trajectory and movement profile. For the robot control law, a well-known impedance control was applied on a 7-dof Kuka LBR iiwa 14 R820 robot. Results show that the consideration of object dynamical properties in the robot control law is crucial for a good and more comfortable interaction. Besides, human efforts are more significant with a higher no-considered weight, whereas it remains stable when these weights were considered.
Fichier principal
Vignette du fichier
Mujica_27371.pdf (496.27 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03141139 , version 1 (15-02-2021)

Identifiants

Citer

Martin Mujica, Mourad Benoussaad, Jean-Yves Fourquet. Evaluation of human-robot object co-manipulation under robot impedance control. IEEE ICRA 2020- International Conference on Robotics and Automation, May 2020, Paris, France. pp.9143-9149, ⟨10.1109/ICRA40945.2020.9197329⟩. ⟨hal-03141139⟩
29 Consultations
129 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More