Robot systems reliability and safety: a review

Dhillon, B.S.; Fashandi, A.R.M.; Liu, K.L.

doi:10.1108/13552510210439784

Cited by 59 publications

(36 citation statements)

References 163 publications

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“…In addition to safety, the reliability of the system is also important. Especially in the field of robotics, safety and reliability are crucial, as has been anticipated in an extensive literature study of robot system reliability and safety in Dhillon et al [7], such that in future robots might serve humans as household items.…”

Section: Functional Safety -System Dependabilitymentioning

confidence: 99%

“…Historically, a fundamental reason to use robotics is to remove human operators from work environments that are potentially hazardous [7]. The collaboration of robotics and human operators is emphasized in remotely operated devices -such as in telerobotics -where the objective, according to Ferre et al, is to reproduce operator actions at a distance by connecting humans and robots.…”

Section: Case Examplementioning

confidence: 99%

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Enhancing System Lifecycle Processes by Integrating Functional Safety Information from Practice into Design Requirements

Lintala

Ovtcharova

2013

International Journal of Advanced Robotic Systems

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To be able to find answers for challenging research questions about the universe, advanced machinery in major research institutions -e.g. accelerator complexes -is needed. In such expensive research facilities, which generate ionizing radiation, it is necessary to protect people, infrastructure and the environment from harm. To meet functional safety requirements, machinery shall fulfil high safety standards throughout its life. This paper aims to propose a methodology for preserving the functional safety of the equipment already in operation and the maintenance phase of the lifecycle. A methodology is proposed to enable better integration of information from practice into design requirements for modifications, such as upgrades and retrofits. The method is based on existing functional safety standards. The goal is to increase the operational time while preserving performance at the intended level.

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Section: Functional Safety -System Dependabilitymentioning

confidence: 99%

Section: Case Examplementioning

confidence: 99%

Enhancing System Lifecycle Processes by Integrating Functional Safety Information from Practice into Design Requirements

Lintala

Ovtcharova

2013

International Journal of Advanced Robotic Systems

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“…In [14,34], a review is provided into these hazards and the principles of guarding to ensure human safety. Hazard analysis, safety precautions, programming procedures and maintenance of the robots are also discussed.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques

Dupre

Argyriou

Tzimiropoulos

et al. 2016

Information Sciences

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Please cite this article as: Rob Dupre, Vasileios Argyriou, George Tzimiropoulos, Darrel Greenhill, Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques, Information Sciences (2016Sciences ( ), doi: 10.1016Sciences ( /j.ins.2016 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T AbstractIn this paper, the notion of risk analysis within 3D scenes using vision based techniques is introduced. In particular the problem of risk estimation of indoor environments at the scene and object level is considered, with applications in domestic robots and smart homes. To this end, the proposed Risk Estimation Framework is described, which provides a quantified risk score for a given scene.This methodology is extended with the introduction of a novel robust kernel for 3D shape descriptors such as 3D HOG and SIFT3D, which aims to reduce the effects of outliers in the proposed risk recognition methodology. The Physics Behaviour Feature (PBF) is presented, which uses an object's angular velocity obtained using Newtonian physics simulation as a descriptor. Furthermore, an extension of boosting techniques for learning is suggested in the form of the novel Complex and Hyper-Complex Adaboost, which greatly increase the computation efficiency of the original technique. In order to evaluate the proposed robust descriptors an enriched version of the 3D Risk Scenes (3DRS) dataset with extra objects, scenes and meta-data was utilised. A comparative study was conducted demonstrating that the suggested approach outperforms current state-of-the-art descriptors.

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“…Consideration of fault-tolerance is essential in dangerous locations, and has been studied extensively, as in [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17], and the references therein. Methods of algebraic geometry have been applied in the kinematic setting as well.…”

Section: Introductionmentioning

confidence: 99%

Illustration of Numerical Algebraic Methods for Workspace Estimation of Cooperating Robots after Joint Failure

Brake¹,

Bates²,

Putkaradze³

et al. 2010

IASTED Technology Conferences / 705: ARP / 706: RA / 707: NANA / 728: CompBIO

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We consider the estimation of the post-failure workspace of two two-link serial robots where the free-swinging failure of one robot's last joint is handled by having the functional robot grasp the final link of the broken robot. We present an algorithm for finding the optimal placement of such synergistic robot arms and the optimal grasp point on the final link of the broken robot. To determine whether a point in the pre-failure workspace of the broken robot remains in the post-failure workspace, we solve an inverse kinematics problem in the form of a polynomial system. Homotopy continuation provides an efficient means for solving such polynomial systems, so we use the software package Bertini. Finally, Monte-Carlo methods are used to estimate the post-failure workspace.

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Robot systems reliability and safety: a review

Cited by 59 publications

References 163 publications

Enhancing System Lifecycle Processes by Integrating Functional Safety Information from Practice into Design Requirements

Enhancing System Lifecycle Processes by Integrating Functional Safety Information from Practice into Design Requirements

Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques

Illustration of Numerical Algebraic Methods for Workspace Estimation of Cooperating Robots after Joint Failure

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