Combined Use of Modified Hough Transformation, Random Sample Consensus and Linear Least Square to Extract the Normal Parameterization of a Straight Line: An Application for Cable Driven Parallel Robots. (2016)
- Record Type:
- Journal Article
- Title:
- Combined Use of Modified Hough Transformation, Random Sample Consensus and Linear Least Square to Extract the Normal Parameterization of a Straight Line: An Application for Cable Driven Parallel Robots. (2016)
- Main Title:
- Combined Use of Modified Hough Transformation, Random Sample Consensus and Linear Least Square to Extract the Normal Parameterization of a Straight Line: An Application for Cable Driven Parallel Robots
- Authors:
- Kurniawan, Rudi
Othman, M.F.
Schramm, Dieter
Bruckmann, Tobias - Abstract:
- Abstract: The current approach to determine the platform position of the Cable Driven Parallel Robot (CDPR) is by using camera system or forward kinematics. However both has their drawbacks. Alternatively, a laser scanner is introduced. Three popular algorithms to extract the straight line is applied to estimate two among three component of platform position vector. Then, the proposed method is applied on the physical prototype. Two estimated coordinates of the position vector are compared with the desired trajectory in order to evaluate the platform position accuracy. The comparison shows that the platform has deviation from the desired position.
- Is Part Of:
- Procedia technology. Volume 26(2016)
- Journal:
- Procedia technology
- Issue:
- Volume 26(2016)
- Issue Display:
- Volume 26, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 26
- Issue:
- 2016
- Issue Sort Value:
- 2016-0026-2016-0000
- Page Start:
- 382
- Page End:
- 388
- Publication Date:
- 2016
- Subjects:
- Cable-driven Parallel Robot -- modified Hough Transformation -- Random Sample Consensus
Technology -- Congresses
Technology -- Periodicals
Engineering -- Congresses
Engineering -- Periodicals
Engineering
Technology
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Periodicals
605 - Journal URLs:
- http://www.sciencedirect.com/science/journal/22120173 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.protcy.2016.08.049 ↗
- Languages:
- English
- ISSNs:
- 2212-0173
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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