QUT ePrints

Assessing the safety of a velocity sourced series elastic actuator using the head injury criterion

Wyeth, Gordon & Walker, Geoff (2007) Assessing the safety of a velocity sourced series elastic actuator using the head injury criterion. In Dunbabin, Matthew & Srinivasan, Mandyam (Eds.) Proceedings of Australasian Conference on Robotics and Automation 2007, Australian Robotics and Automation Association Inc, Brisbane, Queensland.

View at publisher

Abstract

The Velocity Sourced Series Elastic Actuator has been proposed as a method for providing safe force or torque based actuation for robots without compromising the actuator performance. In this paper we assess the safety of Velocity Sourced Series Elastic Actuators by measuring the Head Injury Criterion scores for collisions with a model head. The study makes a comparative analysis against stiff, high impedance actuation using the same motor without the series elastic component, showing that the series elastic component brings about a massive reduction in the chance of head injury. The benefits of a collision detection and safe reaction system are shown to be limited to collisions at low speeds, providing greater interaction comfort but not necessarily contributing to safety from injury.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

53 since deposited on 24 Jun 2010
17 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 32850
Item Type: Conference Paper
Additional URLs:
ISBN: 978095758390
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)
Copyright Owner: Copyright 2007 [please consult the authors]
Deposited On: 24 Jun 2010 12:58
Last Modified: 11 Aug 2011 04:08

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page