Name
Abstract | ||
|---|---|---|
Knowledge of a robot's position with an accuracy of within a few centimeters is required for potential applications for legged robots, such as humanitarian de-mining tasks. Individual sensors are unable to provide such accuracy. Thus information from various sources must be used to accomplish the tasks. Following this trend, this paper describes the method developed for estimating the position of legged robots in outdoor environments. The proposed method factors in the specific features of legged robots and combines dead-reckoning estimation with data provided by a Differential Global Positioning System through an extended Kalman filter algorithm. This localization system permits accurate trajectory tracking of legged robots during critical activities such as humanitarian de-mining tasks. Preliminary experiments carried out with the SILO4 system have shown adequate performance using this localization system. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.robot.2007.12.003 | Robotics and Autonomous Systems |
Keywords | Field | DocType |
Legged robots,Dead-reckoning,GPS,Kalman filter | Computer vision,Robot control,Simulation,Computer science,Kalman filter,Dead reckoning,Localization system,Global Positioning System,Artificial intelligence,Robot,Mobile robot,Trajectory | Journal |
Volume | Issue | ISSN |
56 | 9 | Robotics and Autonomous Systems |
Citations | PageRank | References |
14 | 1.12 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. A. Cobano | 1 | 82 | 8.31 |
| J. Estremera | 2 | 84 | 7.62 |
| P. Gonzalez de Santos | 3 | 153 | 16.90 |