DocumentCode
651079
Title
A study on methods for improving the straightness of the intelligent walker to move on slope
Author
Won-Young Lee ; Seung-Hyun Lee ; Mun-Suck Jang ; Eung-Hyuk Lee
Author_Institution
Dept. of Electron. Eng., Korea Polytech. Univ., Ansan, South Korea
fYear
2013
fDate
Oct. 30 2013-Nov. 2 2013
Firstpage
536
Lastpage
541
Abstract
This paper suggests linearity enhancement algorithm for slope driving of Intelligent Walker. Intelligent Walker happens to get off track due to external forces from robot´s weight and the degree of the slope while slope driving. In order to compensate this, this research used the controller that estimates the external forces according to the slope of road surface and adjusts it to the motor output. Also, through comparisons between targeted rotational angular velocity which the user inputs and its velocity of the robot, algorithm was applied which applies a weight to each shaft. As a result of applying the proposed correction controller to Intelligent Walker, it diverges in case of non-compensation experiments that deviates when moving, but it case of applying the ramp calibration algorithm, the deviation distance at max was within 5cm that it keeps safe driving, and change rate of deviation distance was also stabilized after 1m where no more changes occurred.
Keywords
assisted living; force control; geriatrics; handicapped aids; human-robot interaction; mobile robots; motion compensation; motion control; deviation distance; elderly people; external force estimation; intelligent walker; linearity enhancement algorithm; motion compensator; noncompensation experiments; ramp calibration algorithm; robot weight; slope degree; slope driving; straightness improvement; Intelligent Walker; Motion Compensator; Slope; Straightness;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location
Jeju
Print_ISBN
978-1-4799-1195-0
Type
conf
DOI
10.1109/URAI.2013.6677332
Filename
6677332
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