Name
Title | ||
|---|---|---|
Position Estimator for a Follow Line Robot: Comparison of Least Squares and Machine Learning Approaches |
Abstract | ||
|---|---|---|
Navigation is one of the most important tasks for a mobile robot and the localisation is one of its main requirements. There are several types of localisation solutions such as LiDAR, Radio-frequency and acoustic among others. The well-known line follower has been a solution used for a long time ago and still remains its application, especially in competitions for young researchers that should be captivated to the scientific and technological areas. This paper describes two methodologies to estimate the position of a robot placed on a gradient line and compares them. The Least Squares and the Machine Learning methods are used and the results applied to a real robot allow to validate the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/978-3-031-15226-9_41 | Robotics in Natural Settings |
Keywords | DocType | ISSN |
Line follower, Localisation, Estimation | Conference | 2367-3370 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matos Diogo | 1 | 0 | 0.34 |
| Mendes João | 2 | 0 | 0.34 |
| Lima José | 3 | 0 | 0.34 |
| Pereira Ana I. | 4 | 0 | 0.34 |
| Valente António | 5 | 0 | 0.34 |
| Soares Salviano | 6 | 0 | 0.34 |
| Costa Pedro | 7 | 0 | 0.34 |
| Costa Paulo | 8 | 0 | 0.34 |