A comparative study of different algorithms using contrived failure data to detect robot anomalies.
Ethan WescoatScott KernerLaine MearsPublished in: ISM (2021)
Keyphrases
- data collection
- data sets
- data structure
- data processing
- data reduction
- prior knowledge
- data sources
- learning algorithm
- high quality
- noisy data
- statistical analysis
- databases
- image data
- data distribution
- raw data
- data mining techniques
- data mining algorithms
- computational cost
- mobile robot
- sensor data
- spatial data
- computationally efficient
- humanoid robot
- data mining tasks
- detect anomalies
- missing data
- synthetic data
- high dimensional data
- detection method
- real time
- input data
- worst case
- data points
- probability distribution
- high dimensional