DocumentCode
3306351
Title
Mechanical and walking optimization of a hexapod robot using PSO
Author
Burkus, Ervin ; Odry, Peter
Author_Institution
Obuda Univ., Budapest, Hungary
fYear
2013
fDate
8-10 July 2013
Firstpage
177
Lastpage
180
Abstract
In this paper a novel solution is introduced for determining the dimensions and construction of a walking robot using an optimization method. During our previous research and development several hexapod walking robots have been built. The latest model called Szabad(ka) II is a complex, servo motor driven, multiprocessor device made of aluminum and steel. Prior to its construction sophisticated modeling was carried out, with special attention to the smallest physical, mechanical and electrical parts. With this model the functionality of the robot could be checked before the manufacturing process. For the time being, modeling was used only for verifying the construction, but as the next step it will be used for defining the construction and dimensions. Manually this is practically impossible, therefore the process requires automatization. The definition of the optimal parameters can be solved with optimization methods. For the task the Particle Swarm Optimization (PSO) was chosen.
Keywords
aluminium; legged locomotion; microprocessor chips; particle swarm optimisation; servomotors; steel; PSO; Szabad(ka) II robot; aluminum; hexapod walking robots; mechanical optimization; multiprocessor device; optimal parameters; optimization method; particle swarm optimization; servomotor; steel; walking optimization; Joints; Legged locomotion; MATLAB; Mathematical model; Optimization; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on
Conference_Location
Tihany
Print_ISBN
978-1-4799-0060-2
Type
conf
DOI
10.1109/ICCCyb.2013.6617583
Filename
6617583
Link To Document