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SENSAR: A Visual Tool for Intelligent Robots for Collaborative\n Human-Robot Interaction

Andre Cleaver, Faizan Muhammad, Amel Hassan, Elaine Schaertl Short, Jivko Sinapov

Year
2020
Citations
5
Access
Open access

Abstract

Establishing common ground between an intelligent robot and a human requires\ncommunication of the robot's intention, behavior, and knowledge to the human to\nbuild trust and assure safety in a shared environment. This paper introduces\nSENSAR (Seeing Everything iN Situ with Augmented Reality), an augmented reality\nrobotic system that enables robots to communicate their sensory and cognitive\ndata in context over the real-world with rendered graphics, allowing a user to\nunderstand, correct, and validate the robot's perception of the world. Our\nsystem aims to support human-robot interaction research by establishing common\nground where the perceptions of the human and the robot align.\n

Keywords

Human–computer interactionRobotHuman–robot interactionComputer sciencePerceptionContext (archaeology)Augmented realityCommon groundArtificial intelligencePsychology

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