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Collision Detection Based on Augmented Reality for Construction Robot

Chun Mei Jia, Zhenzhong Liu

Year
2020
Citations
6

Abstract

With the industrialization of construction, the safe and accurate task of construction robots is faced with higher requirements. Collision detection of construction robots based on human-robot cooperation has become a key technology to be solved urgently. This paper discusses a collision detection system based on augmented reality technology and applied it to tablets. The task scene of the construction robot is converted into an augmented reality (AR) environment in this system, and the user can control the virtual robot for collision detection with the interactive interface. The glass installation simulation experiment proves its effectiveness.

Keywords

Augmented realityCollision detectionRobotComputer scienceTask (project management)Virtual realityCollisionKey (lock)Human–computer interactionInterface (matter)

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