Machine learning meets quantitative planning: enabling self-adaptation in autonomous robots.
Pooyan JamshidiJavier CámaraBradley R. SchmerlChristian KästnerDavid GarlanPublished in: SEAMS@ICSE (2019)
Keyphrases
- autonomous robots
- machine learning
- goal directed
- multiple robots
- mobile robot
- robot navigation
- robot control
- robotic systems
- multi robot systems
- autonomous mobile robot
- motion planning
- unknown environments
- planning problems
- decision trees
- motion control
- knowledge acquisition
- computer vision
- artificial intelligence
- path planning
- qualitative and quantitative
- machine learning methods
- text classification
- reinforcement learning
- knowledge representation
- autonomic computing systems
- learning systems
- machine learning algorithms
- text mining
- classifier systems
- supervised learning
- natural language processing
- controller synthesis
- feature selection
- information extraction
- inductive logic programming
- particle swarm optimization
- inductive learning
- data mining