The application of the inertial parameter regrouping method to the robot forward dynamics algorithm.
Wei HuoMian ChengWeibing GaoPublished in: SMC (1989)
Keyphrases
- preprocessing
- improved algorithm
- high accuracy
- dynamic programming
- clustering method
- cost function
- computational cost
- detection algorithm
- detection method
- theoretical analysis
- computationally efficient
- k means
- optimization algorithm
- objective function
- experimental evaluation
- classification method
- optimization method
- recognition algorithm
- segmentation algorithm
- significant improvement
- em algorithm
- classification algorithm
- selection algorithm
- segmentation method
- similarity measure
- support vector machine svm
- computational complexity
- convergence rate
- matching algorithm
- tree structure
- input data
- expectation maximization
- initial values
- single parameter
- bi directional
- learning algorithm
- parameter settings
- estimation algorithm
- mathematical model
- energy function
- synthetic and real images
- kalman filter
- path planning
- multi robot
- control parameters
- parameter estimation
- optimal parameters
- optimal path
- support vector machine
- mobile robot
- probabilistic model
- particle swarm optimization
- search space
- regularization parameter
- inertial sensors
- parameter space