Enhancing rate-hardness of energy-bounding algorithm by considering Coulomb friction of haptic interface.
Jaeha KimChanghoon SeoJeha RyuJong-Phil KimPublished in: HAPTICS (2010)
Keyphrases
- experimental evaluation
- detection algorithm
- cost function
- learning algorithm
- improved algorithm
- computational complexity
- dynamic programming
- k means
- worst case
- convergence rate
- np hard
- optimization algorithm
- computationally efficient
- high accuracy
- randomly generated
- upper bound
- significant improvement
- preprocessing
- simulated annealing
- particle swarm optimization
- particle filter
- segmentation algorithm
- computational cost
- optimal solution
- neural network