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Impact Force Reduction Strategies To Achieve Safer Human-Robot Collisions

dc.contributor.authorRouzbeh, Behrad
dc.contributor.authorBone, Gary M.
dc.date.accessioned2018-11-06T14:09:33Z
dc.date.available2018-11-06T14:09:33Z
dc.date.issuedMay-18
dc.description.abstractThe increasing use of robots operating close to people has made human-robot collisions more likely. In this paper, strategies intended to reduce the impact force to a safe level, without sacrificing the robot’s performance, are investigated. The strategies can be applied to a robot arm without modifying its internal hardware. They include the existing strategies: lowering the actuator controller’s stiffness; actuator switched off upon impact detection; withdrawing the arm upon impact detection; and adding a compliant cover. We also propose the novel strategy of limiting the controller’s feedback term. The collision scenario studied is a robot arm colliding with a person’s constrained head. An improved lumped parameter model of the constrained impact is proposed. Simulation results are included for a UR5 collaborative robot. Sixteen combinations of the impact force reduction strategies are compared. The results show that using a high stiffness controller with a feedback limit and compliant cover reduces the impact force to a safe level, and achieves precise trajectory tracking.
dc.identifierCSME195
dc.identifier.issn978-1-77355-023-7
dc.identifier.urihttp://hdl.handle.net/10315/35249
dc.identifier.urihttp://dx.doi.org/10.25071/10315/35249
dc.language.isoenen_US
dc.publisherCSME-SCGMen_US
dc.subjectCollaborative robot
dc.subjectCompliant covering
dc.subjectHuman-robot collision
dc.subjectImpact force
dc.subjectRobot control
dc.subjectRobot safety
dc.subjectMechatronicsen_US
dc.subjectRobots and Controlen_US
dc.titleImpact Force Reduction Strategies To Achieve Safer Human-Robot Collisionsen_US
dc.typeArticleen_US

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