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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Deittert, M. Richards, A. Mathews, G. |
| Copyright Year | 2010 |
| Description | Author affiliation: Advanced Technology Centre, BAE Systems, Bristol, United Kingdom (Mathews, G.) || Aerospace Department, Faculty of Engineering, University of Bristol, United Kingdom (Deittert, M.; Richards, A.) |
| Abstract | This paper presents a novel approach to navigation in an a priori unknown, GPS-denied environment. The aim is to combine dynamic path planning with the ability to learn about the environment. The vehicle is tasked with autonomous travel from an uncertain initial position to an uncertain target, without prior mapping information. The environment is modelled using linear segments that represent boundaries between the estimated traversable and non-traversable regions. The approach integrates Receding Horizon Control (RHC) and Simultaneous Localisation and Mapping (SLAM). The control problem is formulated as a mixed integer linear program (MILP) and explicitly includes the obstacles and vehicle dynamics.We present the results of our experiments using Pioneer robots, as well as, simulation results which clearly demonstrated the impact of each component of the system. |
| Starting Page | 3008 |
| Ending Page | 3013 |
| File Size | 740954 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424450381 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2010.5509903 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicle dynamics Simultaneous localization and mapping Piecewise linear approximation Navigation Path planning Remotely operated vehicles Mobile robots Space vehicles Robotics and automation USA Councils |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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