Robot Failure Mode Prediction with Explainable Machine Learning.
Aneseh AlvanpourSumit Kumar DasChristopher Kevin RobinsonOlfa NasraouiDan O. PopaPublished in: CASE (2020)
Keyphrases
- machine learning
- failure modes
- mobile robot
- prediction accuracy
- vision system
- liquid state machine
- robotic systems
- decision trees
- prediction model
- reinforcement learning
- robot control
- human robot interaction
- humanoid robot
- natural language processing
- text classification
- pattern recognition
- robot arm
- prediction algorithm
- mobile robotics
- autonomous robots
- multi robot
- learning algorithm
- machine learning methods
- computer vision
- knowledge acquisition
- learning systems
- neural network
- fault tree
- data mining
- human robot
- natural language
- computer science
- knowledge discovery
- information extraction
- machine learning algorithms
- machine learning approaches
- explanation based learning
- supervised learning
- predictive model
- knowledge representation
- active learning
- feature selection
- dynamic environments
- quantitative analysis
- degrees of freedom
- path planning