Simulation to Reality Semantic Segmentation for Humanoid Soccer Robots-Reference-Cited by-同舟云学术

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Simulation to Reality Semantic Segmentation for Humanoid Soccer Robots

Published:2024-02-29 Issue: Volume: Page:84-89
ISSN:
Container-title:2024 10th International Conference on Artificial Intelligence and Robotics (QICAR)
language:
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Author:

Gholami Amir¹,Rashnozadeh Fatemeh²,Rahmani Arash²,Nazari Ahmadreza³,Behvarmanesh Pegah³,Ramirez-Serrano Alejandro¹

Affiliation:

1. University of Calgary,Department of Mechanical and Manufacturing Engineering,Calgary,Alberta,Canada

2. Qazvin Islamic Azad University,Mechatronics Research Laboratory,Qazvin,Iran

3. University of Calgary,Department of Electrical and Computer Engineering,Calgary,Alberta,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10496570/10496596/10496644.pdf?arnumber=10496644

Reference21 articles.

1. The use of AI in robotics and hardware --- what CTOs need to know;Ismail;integration, job loss and privacy concerns, and investment,2019

2. Humanoid Robots in Soccer: Robots Versus Humans in RoboCup 2050

3. Improving Field and Ball Detector for Humanoid Robot Soccer EROS Platform

4. Detection and Localization of Features on a Soccer Field with Feedforward Fully Convolutional Neural Networks (FCNN) for the Adult-Size Humanoid Robot Sweaty;Schnekenburger

5. Using FCNNs for Goalpost Detection in the RoboCup Humanoid Soccer Domain;Hagge,2019

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