Using Bayesian Optimization to Identify Optimal Exoskeleton Parameters Targeting Propulsion Mechanics: A Simulation Study.
GilHwan KimFabrizio SergiPublished in: IROS (2021)
Keyphrases
- simulation study
- optimal design
- maximum likelihood
- monte carlo
- joint optimization
- optimal parameters
- approximately optimal
- optimal selection
- parameter optimization
- dynamic programming
- highly non linear
- monte carlo methods
- optimal configuration
- decision variables
- fine tuning
- optimal solution
- optimization process
- parameter values
- posterior probability
- parameter estimation
- prior distribution
- global optimization
- optimization algorithm
- stochastic gradient
- closed form
- single parameter
- genetic algorithm
- worst case
- efficient optimization
- quantum mechanics
- optimization method
- degrees of freedom
- optimization methods
- constrained optimization