Canonical parameterization of excess motor degrees of freedom with self-organizing maps.
David DeMersKenneth Kreutz-DelgadoPublished in: IEEE Trans. Neural Networks (1996)
Keyphrases
- self organizing maps
- degrees of freedom
- joint space
- motion planning
- neural network
- pose estimation
- unsupervised learning
- motion tracking
- position control
- competitive learning
- robotic arm
- control system
- articulated objects
- input data
- neural gas
- end effector
- path planning
- k means
- computer vision
- mobile robot
- induction motor
- robotic manipulator
- configuration space
- pattern recognition
- human hand
- viewpoint
- dimensionality reduction