Development of a Light Weight Autonomous Lawn Mower and Performance Analysis using Fuzzy Logic Technique-Reference-Cited by-同舟云学术

Development of a Light Weight Autonomous Lawn Mower and Performance Analysis using Fuzzy Logic Technique

Published:2022-08-04 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
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Author:

Okwu Modestus O.¹,Tartibu Lagouge K.¹,Enarevba Dolor Roy²,Oyejide Oluwayomi J.³,Otanocha Omonigho B.⁴,Adumene Sidum⁵

Affiliation:

1. University of Johannesburg,Department of Mechanical and Industrial Engineering Tech,Johannesburg,South Africa

2. Oregon State University,College of Engineering,Corvallis,Oregon,USA

3. University of Johannesburg,Department of Mechanical and Industrial Engineering,South Africa

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

5. Memorial University of Newfoundland,Faculty of Engineering and Applied Sc,St. John’s NL,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855894/9855906/09856342.pdf?arnumber=9856342

Reference21 articles.

1. Development and Evaluation of a Remote Controlled Electric Lawn Mower

2. Performance Analysis of an Autonomous Cart Trolley for the Disabled: An ANFIS Based Evaluating Methodology

3. Fabrication of Wireless Remote Controlled Electric Lawn Mower. International Journal of Innovative Technology and Exploring Engineering (IJITEE);parthipan,2019

4. Real Time Obstacle Estimation Based on Dense Stereo Vision for Robotic Lawn Mowers

5. Intelligent Robotic Lawn Mower Design

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