Cognitive Architectures for Enhancing Self-Directed Learning in Humanoid Robots

Clicks: 2
ID: 312991
2024
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #642 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Feature of robots “on-going development” refers to the power to ceaselessly depend on what the system already is aware of, in association with an on-going method that acquires new skills and information, and achieves a lot of subtle levels of behavior. Human infants are presumably the most effective illustrious demonstrators of this ability. Developmental psychology has several results documenting the fact that what infants will and will not do at different ages. On the robots aspect, making a procedure system that displays on-going development continues to be an associate unresolved drawback. There are some questions that what features can be covered by the cognitive robotics development and what features are beyond the range of robots? In this research, comparative study is used for human infants and robots for realizing that why and what are features necessary for robots? How can they be useful to us? By which technology can they be achieved? We also realize that what features in infants are beyond the range of robots.
Reference Key
imported_1777058309_69ebc20538719 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Kamran, Furrakh Shahzad, Binish Raza, Kiran Naz, M. Rashid
Journal Journal of Computing & Biomedical Informatics
Year 2024
DOI
DOI not found
URL
https://jcbi.org/index.php/Main/article/view/578
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.