Adjustable interaction control using genetic algorithm for enhanced coupled dynamics in tool-part contact.
Gustavo J. G. LahrHenrique B. GarciaJose O. SavazziCaio Benatti MorettiRafael Vidal ArocaLeonardo Marquez PedroGustavo F. BarbosaGlauco A. P. CaurinPublished in: IROS (2017)
Keyphrases
- genetic algorithm
- control strategies
- agent environment
- control system
- human computer interaction
- optimal control
- control method
- neural network
- control strategy
- dynamical systems
- user interaction
- artificial neural networks
- wheel slip
- air fuel ratio
- adjustable autonomy
- gaze control
- nonlinear dynamics
- software tools
- dynamic model
- human interaction
- adaptive control
- metaheuristic
- control problems
- collective behavior
- evolutionary algorithm
- force feedback
- reinforcement learning
- collaborative learning
- user friendly