Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression-Reference-Cited by-同舟云学术

Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression

Published:2022-04 Issue: Volume:74 Page:102262
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Bilal Diyar Khalis^ORCID,Unel Mustafa^ORCID,Tunc Lutfi Taner,Gonul Bora^ORCID

Funder

TÜBİTAK

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

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5. An online real-time path compensation system for industrial robots based on laser tracker;Shi;Int. J. Adv. Robot. Syst.,2016

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