Title | ||
---|---|---|
A general classifier of whisker data using stationary naive bayes: application to BIOTACT robots |
Abstract | ||
---|---|---|
A general problem in robotics is how to best utilize sensors to classify the robot's environment. The BIOTACT project (BIOmimetic Technology for vibrissal Active Touch) is a collaboration between biologists and engineers that has led to many distinctive robots with artificial whisker sensing capabilities. One problem is to construct classifiers that can recognize a wide range of whisker sensations rather than constructing different classifiers for specific features. In this article, we demonstrate that a stationary naive Bayes classifier can perform such a general classification by applying it to various robot experiments. This classifier could be a key component of a robot able to learn autonomously about novel environments, where classifier properties are not known in advance. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-23232-9_2 | TAROS |
Keywords | Field | DocType |
biotact project,various robot experiment,distinctive robot,general classification,whisker data,stationary naive bayes,artificial whisker,biotact robot,stationary naive bayes classifier,classifier property,different classifier,whisker sensation,general problem,general classifier | Naive Bayes classifier,Computer science,Artificial intelligence,Robot,Classifier (linguistics),Active touch,Machine learning,Robotics,Bayes' theorem | Conference |
Citations | PageRank | References |
4 | 0.60 | 11 |
Authors | ||
11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nathan F. Lepora | 1 | 239 | 35.36 |
Charles W. Fox | 2 | 162 | 14.65 |
Mat Evans | 3 | 4 | 0.60 |
Ben Mitchinson | 4 | 145 | 17.74 |
Asma Motiwala | 5 | 5 | 0.97 |
J. Charlie Sullivan | 6 | 8 | 1.07 |
Martin J. Pearson | 7 | 215 | 26.34 |
Jason Welsby | 8 | 15 | 1.46 |
Tony Pipe | 9 | 171 | 24.02 |
Kevin Gurney | 10 | 4 | 0.60 |
Tony J. Prescott | 11 | 4 | 0.60 |