Reinforcement Learning of a Robot Cell Control Logic using a Software-in-the-Loop Simulation as Environment.
Florian JaenschAkos CsiszarJanik SarbandiAlexander VerlPublished in: AI4I (2019)
Keyphrases
- real robot
- reinforcement learning
- mobile robot
- robot behavior
- simulated robot
- robotic systems
- robot control
- autonomous robots
- motion control
- robot teams
- simulation environment
- semi autonomous
- robot motion
- home environment
- multi robot
- real environment
- control problems
- mobile robotics
- simulation tool
- control center
- robocup soccer
- control system
- control architecture
- legged robots
- simulation model
- control software
- operating environment
- path planning
- autonomous vehicles
- state space
- dynamic environments
- navigation tasks
- visual servoing
- real time
- indoor environments
- optimal control
- humanoid robot
- working environment
- robot navigation
- hand eye
- function approximation
- software development
- control method
- experimental platform
- reward signal
- robotic cell
- control strategies
- agent learns
- control signals
- action selection
- autonomous learning
- control policy