Collision analysis and evaluation of collision safety for service robots working in human environments

Jung Jun Park, Jae Bok Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Collision safety between humans and robots has drawn much attention because service robots are increasingly being used in human environments. The design of a service robot usually requires reliable collision analysis based on appropriate safety criterion. Previous safety criteria are too restrictive or generous with respect to collision injury. This paper proposes a new safety criterion for physical human-robot interaction. Injury tolerance related to the fracture force of the thyroid and cricoid cartilage in the neck is more suitable to measure injury to humans from robots than criteria representing serious injury in car crash tests. To accurately evaluate robot collision safety, a novel collision model between a human and a robot is established which include the stiffness of the neck and covering, and the input torque of the robot. The injury criteria suggested in this paper were verified to estimate the safety of service robots. Various collision analyses based on this criterion are conducted, and thus the design parameters of robot arms can be adjusted to enhance safety.

Original languageEnglish
Title of host publication2009 International Conference on Advanced Robotics, ICAR 2009
Publication statusPublished - 2009
Event2009 International Conference on Advanced Robotics, ICAR 2009 - Munich, Germany
Duration: 2009 Jun 222009 Jun 26

Publication series

Name2009 International Conference on Advanced Robotics, ICAR 2009

Other

Other2009 International Conference on Advanced Robotics, ICAR 2009
Country/TerritoryGermany
CityMunich
Period09/6/2209/6/26

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Collision analysis and evaluation of collision safety for service robots working in human environments'. Together they form a unique fingerprint.

Cite this