Performance Analysis of a Light Weight Ground Robotic Vehicle by Implementing Adaptive Neuro-Fuzzy Inference System (ANFIS)-Reference-Cited by-同舟云学术

Performance Analysis of a Light Weight Ground Robotic Vehicle by Implementing Adaptive Neuro-Fuzzy Inference System (ANFIS)

Published:2023-08-03 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
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Author:

Okwu Modestus O.¹,Emovon Ikuobase¹,Oyejide Oluwayomi Joel¹,Ezekiel Kingsley C.²,Messiah Olaye³,Jones-Iwuagwu Perpetua C.⁴

Affiliation:

1. Federal University of Petroleum Resources,Department of Mechanical Engineering,Effurun,Nigeria

2. University of Manchester,Department of Asset Management,United Kingdom

3. University of Benin,Department of Production Engineering,Benin City,Nigeria

4. University of Salford,Department of Safety, Health and Environment,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10220343/10220448/10220494.pdf?arnumber=10220494

Reference20 articles.

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3. Development of a Modular Pick and Place Robot / Automated Guided Vehicle (AGV);okwu;9th ICAT Technology Exchange and Policy Creation for Community Empowerment Tshwane University of Technology,2020

4. Routing algorithm in warehouse with congestion consideration using an ACO with VLC support

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