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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE/ASME transactions on mechatronics Vol. 27; no. 5; pp. 2752 - 2763
Main Authors:	Du, Guanglong, Yao, Gengcheng, Li, Chunquan, Liu, Peter
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!