LOCOMOTION
Optimization of the hexapod robot walking by genetic algorithm
Zoltán Pap, István Kecskés, Ervin Burkus, Fülöp Bazsó, Péter Odry
- 发表年份
- 2010
- 引用次数
- 9
摘要
In building walking hexapod robot great time and effort is needed to optimize robot walking. When simulating robotic gaits, several parameters affect simulation output. These parameters need to be optimized in order to achieve optimal robot movement. Genetic algorithm is used to optimize parameters in the simulation.
关键词
HexapodGenetic algorithmRobotComputer scienceSimulationRobot kinematicsMobile robotArtificial intelligenceMachine learning
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002