Development of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach-Reference-Cited by-同舟云学术

Development of a Vision-Based Unmanned Ground Vehicle for Mapping and Tennis Ball Collection: A Fuzzy Logic Approach

Published:2023-02-19 Issue:2 Volume:15 Page:84
ISSN:1999-5903
Container-title:Future Internet
language:en
Short-container-title:Future Internet

Author:

Latifinavid Masoud¹^ORCID,Azizi Aydin²^ORCID

Affiliation:

1. Department of Mechatronic Engineering, University of Turkish Aeronautical Association, Ankara 06790, Turkey

2. School of Engineering, Computing and Mathematics, Oxford Brookes University, Wheatley Campus, Oxford OX33 1HX, UK

Abstract

The application of robotic systems is widespread in all fields of life and sport. Tennis ball collection robots have recently become popular because of their potential for saving time and energy and increasing the efficiency of training sessions. In this study, an unmanned and autonomous tennis ball collection robot was designed and produced that used LiDAR for 2D mapping of the environment and a single camera for detecting tennis balls. A novel method was used for the path planning and navigation of the robot. A fuzzy controller was designed for controlling the robot during the collection operation. The developed robot was tested, and it successfully detected 91% of the tennis balls and collected 83% of them.

Publisher

MDPI AG

Subject

Computer Networks and Communications

Link

https://www.mdpi.com/1999-5903/15/2/84/pdf

Reference25 articles.

1. Neural networks based adaptive approach for path planning and obstacle avoidance for autonomous mobile robot (amr);Aamer;Int. J. Res. Comput. Appl. Robot. (IJRCAR),2015

2. Optimal Trajectory Planning for Parallel Robots Considering Time-Jerk;Rashidnejhad;Appl. Mech. Mater.,2013

3. Intelligent Mobile Robot Navigation in an Uncertain Dynamic Environment;Azizi;Appl. Mech. Mater.,2013

4. Applications of Artificial Intelligence Techniques to Enhance Sustainability of Industry 4.0: Design of an Artificial Neural Network Model as Dynamic Behavior Optimizer of Robotic Arms;Azizi;Complexity,2020

5. Kinematic Modelling and Position Control of A 3-DOF Parallel Stabilizing Robot Manipulator;Latifinavid;J. Intell. Robot. Syst.,2023

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MSOA: A modular service-oriented architecture to integrate mobile manipulators as cyber-physical systems;Journal of Intelligent Manufacturing;2024-05-13

2. Physical education teaching mode assisted by artificial intelligence assistant under the guidance of high-order complex network;Scientific Reports;2024-02-19

3. Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features;Engineering Applications of Artificial Intelligence;2024-02

4. Design and System Integration of Table Tennis Ball-Collecting Robot;2024 IEEE/SICE International Symposium on System Integration (SII);2024-01-08

5. Using complex networks and multiple artificial intelligence algorithms for table tennis match action recognition and technical-tactical analysis;Chaos, Solitons & Fractals;2024-01