High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique-Reference-Cited by-同舟云学术

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High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique

Published:2024 Issue: Volume:4 Page:116-127
ISSN:2667-2413
Container-title:Cognitive Robotics
language:en
Short-container-title:Cognitive Robotics

Author:

Qazani Mohammad Reza Chalak^ORCID,Asadi Houshyar,Najdovski Zoran,Alsanwy Shehab,Zakarya Muhammad^ORCID,Alam Furqan,Ouakad Hassen M.^ORCID,Lim Chee Peng,Nahavandi Saeid

Publisher

Elsevier BV

Reference25 articles.

1. Robust optimal motion cueing algorithm based on the linear quadratic regulator method and a genetic algorithm;Asadi;IEEE Trans. Syst., Man, Cybern.,2016

2. The dlr robot motion simulator part i: design and setup;Bellmann,2011

3. NASA TechReport CR-2005-213747;Telban,2005

4. Motion Sensation Dependence On Visual and Vestibular Cues;Zacharias,1977

5. From car sickness to autonomous car sickness: a review;Iskander;Transp. Res. Part F,2019

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