DocumentCode :
3684929
Title :
An eight-legged tactile sensor to estimate coefficient of static friction
Author :
Wei Chen;Sura Rodpongpun;William Luo;Nathan Isaacson;Lauren Kark;Heba Khamis;Stephen J. Redmond
Author_Institution :
Graduate School of Biomedical Engineering, UNSW, Australia, Sydney, NSW 2052, Australia
fYear :
2015
Firstpage :
4407
Lastpage :
4410
Abstract :
It is well known that a tangential force larger than the maximum static friction force is required to initiate the sliding motion between two objects, which is governed by a material constant called the coefficient of static friction. Therefore, knowing the coefficient of static friction is of great importance for robot grippers which wish to maintain a stable and precise grip on an object during various manipulation tasks. Importantly, it is most useful if grippers can estimate the coefficient of static friction without having to explicitly explore the object first, such as lifting the object and reducing the grip force until it slips. A novel eight-legged sensor, based on simplified theoretical principles of friction is presented here to estimate the coefficient of static friction between a planar surface and the prototype sensor. Each of the sensor´s eight legs are straight and rigid, and oriented at a specified angle with respect to the vertical, allowing it to estimate one of five ranges (5 = 8/2 + 1) that the coefficient of static friction can occupy. The coefficient of friction can be estimated by determining whether the legs have slipped or not when pressed against a surface. The coefficients of static friction between the sensor and five different materials were estimated and compared to a measurement from traditional methods. A least-squares linear fit of the sensor estimated coefficient showed good correlation with the reference coefficient with a gradient close to one and an r2 value greater than 0.9.
Keywords :
"Friction","Force","Legged locomotion","Testing","Tactile sensors"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319372
Filename :
7319372
Link To Document :
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