Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Web Perspectives in Robotics Applications

Web Perspectives in Robotics Applications The realms of commonsense knowledge and reasoning, vehicle automation with full as well as partial autonomy, and human-robot collaboration, present growing areas of research in recent times, with much of the concerned data being disseminated through the Web and devices encompassing IoT (Internet of Things); the data per se being heterogeneous including plain text, images, audiovisuals, hypertext and hypermedia. Due to the advent of autonomous vehicles, there is a greater need for the embodiment of commonsense knowledge within their development in order to simulate subtle, intuitive aspects of human judgment. The field of robotics has often encountered collaborative tasks between humans and robots to enhance the respective activities involved and produce better results than humans or robots would achieve working by themselves. Accordingly, this article outlines and organizes some of the research occurring in these areas along with its Web perspectives and applications. Context related to human-robot collaboration and commonsense knowledge appears via a survey of the literature. Vehicle automation is significant with the relevant studies: its definition and methods of improvement are of focus in the article. Some work in this area makes an impact on smart manufacturing. There is discussion on how human-robot collaboration is beneficial, and how commonsense knowledge is useful for the collaboration to occur in an enhanced manner. This article would be potentially interesting to various communities, e.g. AI professionals, Web developers, robotics engineers, and data scientists. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGWEB Newsletter Association for Computing Machinery

Web Perspectives in Robotics Applications

ACM SIGWEB Newsletter , Volume 2023 (Winter): 22 – Mar 3, 2023

Loading next page...
 
/lp/association-for-computing-machinery/web-perspectives-in-robotics-applications-7qx5odcNy0

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Association for Computing Machinery
Copyright
Copyright © 2023 Copyright is held by the owner/author(s)
ISSN
1931-1745
eISSN
1931-1435
DOI
10.1145/3583849.3583853
Publisher site
See Article on Publisher Site

Abstract

The realms of commonsense knowledge and reasoning, vehicle automation with full as well as partial autonomy, and human-robot collaboration, present growing areas of research in recent times, with much of the concerned data being disseminated through the Web and devices encompassing IoT (Internet of Things); the data per se being heterogeneous including plain text, images, audiovisuals, hypertext and hypermedia. Due to the advent of autonomous vehicles, there is a greater need for the embodiment of commonsense knowledge within their development in order to simulate subtle, intuitive aspects of human judgment. The field of robotics has often encountered collaborative tasks between humans and robots to enhance the respective activities involved and produce better results than humans or robots would achieve working by themselves. Accordingly, this article outlines and organizes some of the research occurring in these areas along with its Web perspectives and applications. Context related to human-robot collaboration and commonsense knowledge appears via a survey of the literature. Vehicle automation is significant with the relevant studies: its definition and methods of improvement are of focus in the article. Some work in this area makes an impact on smart manufacturing. There is discussion on how human-robot collaboration is beneficial, and how commonsense knowledge is useful for the collaboration to occur in an enhanced manner. This article would be potentially interesting to various communities, e.g. AI professionals, Web developers, robotics engineers, and data scientists.

Journal

ACM SIGWEB NewsletterAssociation for Computing Machinery

Published: Mar 3, 2023

References