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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lopera, L.I. Gauthier, A. |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Univ. de los Andes, Bogota, Columbia (Lopera, L.I.; Gauthier, A.) |
| Abstract | This paper focuses on the development and application of a particular subsystem that complements the architecture designed for planning, supervising, navigating and controlling autonomous flying vehicles. The algorithm storage system (ASS) was design to facilitate switching efficiently between different ways of performing a task. It was developed for a 10m long blimp that had 4 operational stages with a different vehicle model for each one; hence the need of an architectural subsystem that could manage the different maneuvers that the blimp had to carry out. The system can be easily transferred to any automated vehicle and is an important component in the development of high level artificial intelligence. The paper discusses possible applications such as reinforcement learning, machine learning, multiagent learning and experience gathering. |
| Starting Page | 370 |
| Ending Page | 375 |
| File Size | 312166 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769529745 |
| DOI | 10.1109/CERMA.2007.4367715 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-25 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Remotely operated vehicles Learning systems Actuators Navigation Process planning Machine learning Automatic control Mobile robots Automotive engineering Leg |
| Content Type | Text |
| Resource Type | Article |
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