A bio-inspired algorithm for identifying unknown kinematics from a discrete set of candidate models by using collision detection.
Dylan P. LoseyCraig G. McDonaldMarcia K. O'MalleyPublished in: BioRob (2016)
Keyphrases
- bio inspired
- probabilistic model
- collision detection
- learning algorithm
- optimization algorithm
- machine learning
- computational complexity
- artificial neural networks
- optimal solution
- expectation maximization
- segmentation algorithm
- image processing
- object recognition
- cost function
- d objects
- simulated annealing
- objective function
- hardware implementation
- neural network