Application of potential field theory in 6-DOF robotic arm contorl space

Clicks: 1
ID: 286682
2012
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

Ranked #3,620 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 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
In the book Introduction to Robotics Mechanics and Control, John J. Craig states that the study of robotics concerns itself with the desire to synthesize some aspects of human function by the use of mechanisms, sensors, actuators, and computers. [1] but then again, it is hardly easy to emulate even the most basic human activities using robots. Take the motion of the human arm for example. The mere fact that we are able to move our arm through space whilst taking into account the multitude of obstacles present obstructing our path of motion is already a great achievement. Researchers have toiled to emulate different factors that make such feats possible, be it improving control design to make robot movement smoother [2], making it possible for a robot to avoid obstacles [3], or simply making the movements more human-like [4]. Technology is bound to improve and perhaps more aspects of human movement can be considered when designing and creating robots. This research aims to revisit many of the available control approaches and to provide a sequence of processes that improves the movement of a 6-DOF robotic arm.
Reference Key
persistent_1760659328_68f187808a491 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sta. Agueda, Joseph Rey Hernandez
Journal Malay Journal
Year 2012
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etd_masteral/4127
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.