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Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots - Lecture Notes in Computer Science Michael Beetz 2002 edition
Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots - Lecture Notes in Computer Science
Michael Beetz
Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities.
This book makes three major contributions to improving the capabilities of robotic agents:
- first, a plan representation method is introduced which allows for specifying flexible and reliable behavior
- second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans
- third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.
194 pages, biography
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 13 décembre 2002 |
| ISBN13 | 9783540003359 |
| Éditeurs | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 194 |
| Dimensions | 155 × 233 × 11 mm · 299 g |
| Langue et grammaire | Anglais |
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