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Indirect Robot Manipulation using Eye Gazing and Head Movement For Future of Work in Mixed Reality

Kyeong-Beom Park, Sung Ho Choi, Hongju Moon, Jae Yeol Lee, Yalda Ghasemi, Heejin Jeong

Year
2022
Citations
4

Abstract

Most robot manipulations are guided by the worker's both hands using a teach-pendant or other gadgets. However, manipulating the robot is more difficult when both hands are occupied, which requires a new manipulation method. This study proposes a novel indirect robot interaction and manipulation method using eye gaze and head movement in mixed reality. The proposed approach has been implemented to provide hands-free robot interaction for pick-and-place tasks. The results show a promising direction for the future of work in human-robot collaboration.

Keywords

GazeRobotComputer scienceArtificial intelligenceHuman–computer interactionComputer visionMovement (music)Head (geology)Human–robot interactionWork (physics)

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