Name
Abstract | ||
|---|---|---|
CrunchBot is a robot platform for developing models of tactile perception and navigation. We present the architecture of Crunch-Bot, and show why tactile navigation is difficult. We give novel real-time performance results from components of a tactile navigation system and a description of how they may be integrated at a systems level. Components include floor surface classification, radial distance estimation and navigation. We show how tactile-only navigation differs fundamentally from navigation tasks using vision or laser sensors, in that the assumptions about the data preclude standard algorithms (such as extended Kalman Filters) and require brute-force methods. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23232-9_10 | TAROS |
Keywords | Field | DocType |
tactile-only navigation,extended kalman filters,tactile navigation system,tactile perception,tactile navigation,laser sensor,novel real-time performance result,mobile whiskered robot platform,brute-force method,navigation task,floor surface classification | Computer vision,Standard algorithms,Likelihood function,Computer science,Navigation system,Kalman filter,Artificial intelligence,Mobile robot navigation,Robot,Perception,Mobile robot | Conference |
Citations | PageRank | References |
5 | 0.55 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charles W. Fox | 1 | 162 | 14.65 |
| Mathew H. Evans | 2 | 72 | 10.13 |
| Nathan F. Lepora | 3 | 239 | 35.36 |
| Martin Pearson | 4 | 47 | 4.56 |
| Andy Ham | 5 | 5 | 0.55 |
| Tony J. Prescott | 6 | 5 | 0.55 |