Name
Abstract | ||
|---|---|---|
•A system that can recognise materials based on tactile sensing alone is presented.•Identification achieved by analysis of thermal conductivity and surface texture.•Evaluation of various machine learning algorithms and developed hybrid classifiers.•The system outperforms humans in the task of material recognition. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.10.045 | Expert Systems with Applications |
Keywords | Field | DocType |
Tactile sensing,Signal processing,Neural networks,Artificial intelligence,Classification,Material classification | Robotic systems,Signal processing,Computer vision,Computer science,Vision based,Artificial intelligence,Artificial systems,Artificial neural network,Stimulus modality,Principal component analysis,Tactile sensor | Journal |
Volume | Issue | ISSN |
94 | C | 0957-4174 |
Citations | PageRank | References |
3 | 0.48 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmett Kerr | 1 | 25 | 4.10 |
| T. Martin Mcginnity | 2 | 518 | 66.30 |
| Sonya Coleman | 3 | 216 | 36.84 |