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HŮLKA, T. MATOUŠEK, R. DOBROVSKÝ, L. DOSOUDILOVÁ, M. NOLLE, L.
Originální název
Optimization of Snake-like Robot Locomotion Using GA: Serpenoid Design
Typ
článek v časopise ve Scopus, Jsc
Jazyk
angličtina
Originální abstrakt
This work investigates the locomotion efficiency of snake-like robots through evolutionary optimization using the simulation framework PhysX (NVIDIA). The Genetic Algorithm (GA) is used to find the optimal forward head serpentine gait parameters, and the snake speed is taken into consideration in the optimization. A fitness function covering robot speed is based on a complex physics simulation in PhysX. A general serpenoid form is applied to each joint. Optimal gait parameters are calculated for a virtual model in a simulation environment. The fitness function evaluation uses the Simulation In the Loop (SIL) technique, where the virtual model is an approximation of a real snake-like robot. Experiments were performed using an 8-link snake robot with a given mass and a different body friction. The aim of the optimization was speed and length of the trace.
Klíčová slova
Snake-like robot, serpenoid curve, genetic algorithm, physical simulation, PhysX
Autoři
HŮLKA, T.; MATOUŠEK, R.; DOBROVSKÝ, L.; DOSOUDILOVÁ, M.; NOLLE, L.
Vydáno
24. 8. 2020
Nakladatel
Brno University of Technology
Místo
Brno, Czech Republic
ISSN
1803-3814
Periodikum
Mendel Journal series
Ročník
26 (2020)
Číslo
1
Stát
Česká republika
Strany od
Strany do
6
Strany počet
URL
https://mendel-journal.org/index.php/mendel/article/view/113
BibTex
@article{BUT166042, author="Tomáš {Hůlka} and Radomil {Matoušek} and Ladislav {Dobrovský} and Monika {Dosoudilová} and Lars {Nolle}", title="Optimization of Snake-like Robot Locomotion Using GA: Serpenoid Design", journal="Mendel Journal series", year="2020", volume="26 (2020)", number="1", pages="1--6", doi="10.13164/mendel.2020.1.001", issn="1803-3814", url="https://mendel-journal.org/index.php/mendel/article/view/113" }