Physical interaction analysis of the human body dorsal region with a robotic manipulator

Author(s)

Lacerda, Christian M. F. ; Melo, Lucas D. P. ; Lahr, Gustavo J. G. ; Becker, Marcelo ; Caurin, Glauco A. P. ; Tsuzuki, MDG ; Pessoa, MAD

• Document type: Journal article
• Source: 2021 14TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON); v. N/A, p. 6-pg., 2021-01-01.

Abstract

This article studies the development of a simulated model for the human dorsal. Safety protocols are required in order to avoid injures in humans when in contact with a robotic manipulator. One way of developing these protocols is looking for limit values for the main variables which are responsible for modeling the physics of contact, such as deformation. Physical human-robot interaction researchers have been doing it for each part of the human body. This work used the same process focusing on the dorsal. Developing an anatomical investigation of this human body region made it possible to divide and group parts with similar anatomical compositions. Points were attached to each group creating a 2D map of dorsal composed of 9 of them. Specific stiffness was evaluated mathematically for each point. To put them in the simulation environment, Multi-Joint dynamics with Contact was used. In this software, the dorsal simulated model was put in contact with the LBR iiwa model simulated. It happened under the control of an impedance controller. An iteration process was done using a reference force for contacting interface among the bodies, data of LBR iiwa end-effector displacement, and a linear equation approach relating them to set the stiffness value of each point of the dorsal model according to the one evaluated before. Results showed that the dorsal model and the manipulator stabilized in a common position showing the controller action happened satisfactorily. Geometric restrictions (higher and width) of the completed dorsal model generated some difficulties to stabilize the simulation with the exact stiffness values evaluated. However, the variation of them through the dorsal model was preserved, similarly to the real dorsal stiffness variations. (AU)

• FAPESP's process: 17/01555-7 - Robots and neuronavigation applied to neurosurgery
• Grantee: Glauco Augusto de Paula Caurin
• Support Opportunities: Regular Research Grants