Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning.
Marco WursterMarius MichelMarvin Carl MayAndreas KuhnleNicole StrickerGisela LanzaPublished in: J. Intell. Manuf. (2022)
Keyphrases
- reinforcement learning
- control problems
- optimal control
- robotic systems
- robot control
- autonomous learning
- control policy
- semi automatic
- autonomous systems
- error prone
- optimal policy
- unmanned aerial vehicles
- sufficient conditions
- autonomous control
- reverse engineering
- adjustable autonomy
- receding horizon
- model free
- data acquisition
- control system
- multi agent
- learning algorithm
- adaptive control
- human operators
- learning capabilities
- neural network
- function approximation
- control strategy
- dynamic programming
- evolutionary learning
- decentralized control
- cooperative