title: An eight-legged tactile sensor to estimate coefficient of static friction.
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 r(2) value greater than 0.9.
authors.lastname: Wei Chen
authors.forename: Sura
authors.initials: S
authors.lastname: Rodpongpun
authors.forename: William
authors.initials: W
authors.lastname: Luo
authors.forename: Nathan
authors.initials: N
authors.lastname: Isaacson
authors.forename: Lauren
authors.initials: L
authors.lastname: Kark
authors.forename: Heba
authors.initials: H
authors.lastname: Khamis
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Redmond
mesh_terms: D005385:Fingers; D017276:Friction; D018737:Hand Strength; D006801:Humans; D013499:Surface Properties; D014110:Touch