Review of Artificial Intelligence Applications in the ROS Ecosystem

J. Grönman; M. Saarivirta; T. Aaltonen; T. Kerminen

doi:10.23919/MIPRO52101.2021.9596787

Review of Artificial Intelligence Applications in the ROS Ecosystem

J. Grönman, M. Saarivirta, T. Aaltonen, T. Kerminen

Computing Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Artificial intelligence has developed rapidly in recent years. It is permanently established in the field of robotics and science. It is seen as an intelligent decision maker which interacts with the environment or material and can work to achieve the best possible outcome. The biggest factors are the constant increase in computing power and the greater availability of data. With a large amount of data and computational power, solutions to complex problems can be created through machine learning. An application that can independently exploit the information provided to it and make decisions based on it can be considered an AI application. This can be utilized in robotics, for example, by teaching a chess robot to recognize different game pieces from each other. Machine learning can be used to teach a robot to adapt to different situations in a job, for example, to identify chess pieces from different perspectives or to find the most effective solution to a given problem. This article examines the use of artificial intelligence in ROS robotics applications.

Original language	English
Title of host publication	2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)
Publisher	IEEE
Pages	1149-1153
Number of pages	5
ISBN (Electronic)	978-953-233-101-1
DOIs	https://doi.org/10.23919/MIPRO52101.2021.9596787
Publication status	Published - 2021
Publication type	A4 Article in a conference publication
Event	International Convention on Information and Communication Technology, Electronics and Microelectronics - Grand Hotel Adriatic Congress Centre & Hotel Admiral, Opatija, Croatia Duration: 24 May 2021 → 28 May 2021 Conference number: 44 http://www.mipro.hr/

Publication series

Name
ISSN (Electronic)	2623-8764

Conference

Conference	International Convention on Information and Communication Technology, Electronics and Microelectronics
Abbreviated title	MIPRO 2021
Country/Territory	Croatia
City	Opatija
Period	24/05/21 → 28/05/21
Internet address	http://www.mipro.hr/

Keywords

Databases
Education
Ecosystems
Machine learning
Games
Robots
ROS
robot
machine learning
applications

Publication forum classification

Publication forum level 1

Access to Document

10.23919/MIPRO52101.2021.9596787

Cite this

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title = "Review of Artificial Intelligence Applications in the ROS Ecosystem",

abstract = "Artificial intelligence has developed rapidly in recent years. It is permanently established in the field of robotics and science. It is seen as an intelligent decision maker which interacts with the environment or material and can work to achieve the best possible outcome. The biggest factors are the constant increase in computing power and the greater availability of data. With a large amount of data and computational power, solutions to complex problems can be created through machine learning. An application that can independently exploit the information provided to it and make decisions based on it can be considered an AI application. This can be utilized in robotics, for example, by teaching a chess robot to recognize different game pieces from each other. Machine learning can be used to teach a robot to adapt to different situations in a job, for example, to identify chess pieces from different perspectives or to find the most effective solution to a given problem. This article examines the use of artificial intelligence in ROS robotics applications.",

keywords = "Databases, Education, Ecosystems, Machine learning, Games, Robots, ROS, robot, machine learning, applications",

author = "J. Gr{\"o}nman and M. Saarivirta and T. Aaltonen and T. Kerminen",

note = "jufoid=72317; International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2021 ; Conference date: 24-05-2021 Through 28-05-2021",

year = "2021",

doi = "10.23919/MIPRO52101.2021.9596787",

language = "English",

publisher = "IEEE",

pages = "1149--1153",

booktitle = "2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)",

url = "http://www.mipro.hr/",

}

Grönman, J, Saarivirta, M, Aaltonen, T & Kerminen, T 2021, Review of Artificial Intelligence Applications in the ROS Ecosystem. in 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE, pp. 1149-1153, International Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija, Croatia, 24/05/21. https://doi.org/10.23919/MIPRO52101.2021.9596787

Review of Artificial Intelligence Applications in the ROS Ecosystem. / Grönman, J.; Saarivirta, M.; Aaltonen, T.; Kerminen, T.

2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE, 2021. p. 1149-1153.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Review of Artificial Intelligence Applications in the ROS Ecosystem

AU - Grönman, J.

AU - Saarivirta, M.

AU - Aaltonen, T.

AU - Kerminen, T.

N1 - Conference code: 44

PY - 2021

Y1 - 2021

N2 - Artificial intelligence has developed rapidly in recent years. It is permanently established in the field of robotics and science. It is seen as an intelligent decision maker which interacts with the environment or material and can work to achieve the best possible outcome. The biggest factors are the constant increase in computing power and the greater availability of data. With a large amount of data and computational power, solutions to complex problems can be created through machine learning. An application that can independently exploit the information provided to it and make decisions based on it can be considered an AI application. This can be utilized in robotics, for example, by teaching a chess robot to recognize different game pieces from each other. Machine learning can be used to teach a robot to adapt to different situations in a job, for example, to identify chess pieces from different perspectives or to find the most effective solution to a given problem. This article examines the use of artificial intelligence in ROS robotics applications.

AB - Artificial intelligence has developed rapidly in recent years. It is permanently established in the field of robotics and science. It is seen as an intelligent decision maker which interacts with the environment or material and can work to achieve the best possible outcome. The biggest factors are the constant increase in computing power and the greater availability of data. With a large amount of data and computational power, solutions to complex problems can be created through machine learning. An application that can independently exploit the information provided to it and make decisions based on it can be considered an AI application. This can be utilized in robotics, for example, by teaching a chess robot to recognize different game pieces from each other. Machine learning can be used to teach a robot to adapt to different situations in a job, for example, to identify chess pieces from different perspectives or to find the most effective solution to a given problem. This article examines the use of artificial intelligence in ROS robotics applications.

KW - Databases

KW - Education

KW - Ecosystems

KW - Machine learning

KW - Games

KW - Robots

KW - ROS

KW - robot

KW - machine learning

KW - applications

U2 - 10.23919/MIPRO52101.2021.9596787

DO - 10.23919/MIPRO52101.2021.9596787

M3 - Conference contribution

SP - 1149

EP - 1153

BT - 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)

PB - IEEE

T2 - International Convention on Information and Communication Technology, Electronics and Microelectronics

Y2 - 24 May 2021 through 28 May 2021

ER -

Review of Artificial Intelligence Applications in the ROS Ecosystem

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Keywords

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