An Offline-Merge-Online Robot Teaching Method Based on Natural Human-Robot Interaction and Visual-Aid Algorithm

This article proposes an offline-merge-online robot teaching method (OMORTM). Specifically, a virtual-real fusion interactive interface (VRFII) is first developed by projecting a virtual robot into the real scene with an augmented-reality (AR) device, aiming to implement offline teaching. Second, a...

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Veröffentlicht in:	IEEE/ASME transactions on mechatronics Jg. 27; H. 5; S. 2752 - 2763
Hauptverfasser:	Du, Guanglong, Yao, Gengcheng, Li, Chunquan, Liu, Peter
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Augmented reality CAI Computer assisted instruction Education Gesture and speech teaching algorithm Human engineering offline-merge-online robot teaching Robot dynamics Robot kinematics Robot sensing systems Robots Service robots Task analysis Teaching methods Trajectory Virtual reality virtual-real fusion interactive interface (VRFII) visual-aid algorithm (VAA) Workpieces
ISSN:	1083-4435, 1941-014X
Online-Zugang:	Volltext
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