Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning.
Michel BreyerFadri FurrerTonci NovkovicRoland SiegwartJuan I. NietoPublished in: IEEE Robotics Autom. Lett. (2019)
Keyphrases
- closed loop
- reinforcement learning
- open loop
- control system
- control law
- control scheme
- feedback control
- parameter identification
- asymptotic stability
- pid controller
- control loop
- disturbance rejection
- linear quadratic
- moving objects
- optimal control
- d objects
- learning algorithm
- function approximation
- object tracking
- trajectory tracking
- state space
- robotic manipulator
- sufficient conditions
- fuzzy logic