Dynamic Morphological Computation Through Damping Design of Soft Continuum Robots

Bibliographic Details
Title: Dynamic Morphological Computation Through Damping Design of Soft Continuum Robots
Authors: Antonio Di Lallo, Manuel G. Catalano, Manolo Garabini, Giorgio Grioli, Marco Gabiccini, Antonio Bicchi
Source: Frontiers in Robotics and AI, Vol 6 (2019)
Publisher Information: Frontiers Media S.A., 2019.
Publication Year: 2019
Collection: LCC:Mechanical engineering and machinery
LCC:Electronic computers. Computer science
Subject Terms: soft robotics, damping, under-actuation, dynamic response, soft material robots, soft continuum robots, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95
More Details: Inspired by nature, soft robotics aims at enhancing robots capabilities through the use of soft materials. This article presents the study of soft continuum robots which can change their dynamic behavior thanks to a proper design of their damping properties. It enables an under-actuated dynamic strategy to control multi-chamber pneumatic systems using a reduced number of feeding lines. The present work starts from the conceptual investigation of a way to tune the damping properties of soft continuum robots, and leverages on the introduction of viscous fluid within the soft chamber wall to produce dissipative actions. Several solutions are analyzed in simulations and the most promising one is tested experimentally. The proposed approach employs a layer of granular material immersed in viscous silicone oil to increase the damping effect. After validation and experimental characterization, the method is employed to build soft continuum actuators with different deformation patterns, i.e., extending, contracting and bending. Experimental results show the dynamic behavior of the presented actuators. Finally, the work reports information on how the actuators are designed and builded, together with a discussion about possible applications and uses.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2296-9144
Relation: https://www.frontiersin.org/article/10.3389/frobt.2019.00023/full; https://doaj.org/toc/2296-9144
DOI: 10.3389/frobt.2019.00023
Access URL: https://doaj.org/article/8f7b4d04f6a248aa930382a6a5326fdc
Accession Number: edsdoj.8f7b4d04f6a248aa930382a6a5326fdc
Database: Directory of Open Access Journals
More Details
ISSN:22969144
DOI:10.3389/frobt.2019.00023
Published in:Frontiers in Robotics and AI
Language:English