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3D-point-cloud registration and real-world dynamic modelling-based virtual environment building method for teleoperation

Dejing Ni, Aiguo Song, Xiaonong Xu, Huijun Li, Chengcheng Zhu, Hong Zeng

Year
2016
Citations
12

Abstract

SUMMARY It is a challenging task for a human operator to manipulate a robot from a remote distance, especially in an unknown environment. Excellent teleoperation provides the human operator with a sense of telepresence, mainly including real-world vision, haptic perception, etc. This paper presents a novel virtual environment building method using the red–green–blue (RGB) colour information, the surface normal feature-based 3D-point-cloud registration method and the weighted sliding-average least-square-method-based real-world dynamic modelling for teleoperation. The experiments prove the method to be an accurate and effective means of teleoperation.

Keywords

TeleoperationPoint cloudComputer scienceComputer visionArtificial intelligenceHaptic technologyVirtual machineRobotPoint (geometry)Cloud computing

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