Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks.
Matthias MayrFaseeh AhmadKonstantinos I. ChatzilygeroudisLuigi NardiVolker KrügerPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- real robot
- autonomous robots
- multiple robots
- mobile robot
- navigation tasks
- motion planning
- robotic systems
- robot control
- planning systems
- planning tasks
- manipulation tasks
- goal directed
- transfer learning
- model based reasoning
- robot behavior
- action selection
- state space
- humanoid robot
- planning problems
- knowledge base
- service robots
- robotic tasks
- perceptual aliasing
- complex domains
- vision system
- robot navigation
- past experience
- case based reasoning
- path planning
- markov decision processes
- human users
- industrial applications
- human robot interaction
- markov decision problems
- htn planning
- autonomous learning
- forward chaining
- collision free
- world model
- heuristic search
- semi autonomous
- temporal difference
- ai planning