DocumentCode :
2417619
Title :
Parameter optimization of directional dry adhesives for robotic climbing and gripping applications
Author :
Ruffatto, Donald, III ; Spenko, Matthew
Author_Institution :
Dept. of Mech., Mater. & Aerosp. Eng, Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2012
fDate :
14-18 May 2012
Firstpage :
1187
Lastpage :
1192
Abstract :
This paper experimentally investigates the optimization of directional dry adhesives that can be used for robotic climbing and gripping applications. Directional dry adhesives are modeled on gecko setae. The adhesives are comprised of arrays of micro-scale polymer stalks. The geometry of the polymer stalks has a significant effect upon their adhesion properties. A set of parameters including stalk thickness, stalk angle, face angle and stalk curvature have been identified as factors that influence both normal and shear adhesion levels. A new micro-resolution rapid prototyping process is used to create adhesives with varying geometry and advanced features such as curved stalks. A series of experimental tests characterize the significance of each parameter. Tests indicate that the new curved stalk geometry presented here can provide the greatest overall adhesion and robustness to variations in pull-off angle.
Keywords :
adhesion; adhesives; geometry; grippers; mobile robots; optimisation; polymers; rapid prototyping (industrial); robust control; adhesion properties; curved stalk geometry; directional dry adhesives; face angle; gecko setae; gripping applications; microresolution rapid prototyping process; microscale polymer stalks; parameter optimization; polymer stalks geometry; pull-off angle; robotic climbing; shear adhesion levels; stalk angle; stalk curvature; stalk thickness; Adhesives; Face; Geometry; Polymers; Standards; Substrates;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
ISSN :
1050-4729
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ICRA.2012.6225173
Filename :
6225173
Link To Document :
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