Path-Constrained Admittance Control of Human-Robot Interaction for Upper Limb Rehabilitation

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, the problem of robotic rehabilitation of upper limbs is addressed by focusing attention on the control of a standard collaborative robot for those training activities that can be performed with the aid of an end-effector type system. In particular, a novel admittance control, that constrains the motion of the robot along a prescribed path without imposing a specific time law along it, has been devised. The proposed approach exploits the features of the arc-length parameterization of a generic curve to obtain a simple control formulation able to guide the patient in both a passive or an active way, with the possibility of supporting the execution of the task with an additional force or opposing the motion with a braking force. Being the method independent from the particular curve considered for the constraint specification, it allows an intuitive definition of the task to be performed via Programming by Demonstration. Experimental results show the effectiveness of the proposed approach.

Cite

CITATION STYLE

APA

Onfiani, D., Caramaschi, M., Biagiotti, L., & Pini, F. (2022). Path-Constrained Admittance Control of Human-Robot Interaction for Upper Limb Rehabilitation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13817 LNAI, pp. 143–153). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24667-8_13

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free