A genetic algorithm approach to a neural-network-based inverse kinematics solution of robotic manipulators based on error minimization.
Rasit KökerPublished in: Inf. Sci. (2013)
Keyphrases
- inverse kinematics
- error minimization
- robotic manipulator
- genetic algorithm
- end effector
- least squares
- robot arm
- squared error
- position and orientation
- robot manipulators
- objective function
- multi objective
- real time
- singular value decomposition
- motion planning
- high dimensional
- machine learning
- robotic systems
- degrees of freedom
- dynamic environments
- particle swarm optimization
- support vector machine
- image sequences
- three dimensional