Advances in plan-based control of robotic agents : international seminar, Dagstuhl Castle, Germany, October 21-26, 2001 : revised papers

In recent years, autonomous robots, including Xavier, Martha [1], Rhino [2,3], Minerva,and Remote Agent, have shown impressive performance in long-term demonstrations. In NASA s Deep Space program, for example, an - tonomous spacecraft controller, called the Remote Agent [5], has autonomously perfor...

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Autore principale: Beetz, Michael, 1950-
Altri autori: Hertzberg, Joachim (Direttore editoriale), Ghallab, Malik, 1951-...., chercheur en informatique (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serie:Lecture notes in computer science. Lecture notes in artificial intelligence 2466
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Nota: Actes d'un séminaire tenu à Dagstuhl Castle du 21 au 26 octobre 2001, d'après l écran-titre
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Edition sous un autre format:• Advances in plan-based control of robotic agents, international seminar, Dagstuhl Castle, Germany, October 21-26, 2001, revised papers, Michael Beetz ... [et al.], eds, Berlin, Springer, 2002, 1 vol. (VIII-289 p.), Lecture notes in computer science, 3-540-00168-9
• Advances in Plan-Based Control of Robotic Agents, Texte imprimé, 9783662187432
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Riassunto:In recent years, autonomous robots, including Xavier, Martha [1], Rhino [2,3], Minerva,and Remote Agent, have shown impressive performance in long-term demonstrations. In NASA s Deep Space program, for example, an - tonomous spacecraft controller, called the Remote Agent [5], has autonomously performed a scienti?c experiment in space. At Carnegie Mellon University, Xavier [6], another autonomous mobile robot, navigated through an o?ce - vironment for more than a year, allowing people to issue navigation commands and monitor their execution via the Internet. In 1998, Minerva [7] acted for 13 days as a museum tourguide in the Smithsonian Museum, and led several thousand people through an exhibition. These autonomous robots have in common that they rely on plan-based c- trol in order to achieve better problem-solving competence. In the plan-based approach, robots generate control actions by maintaining and executing a plan that is e?ective and has a high expected utility with respect to the robots c- rent goals and beliefs. Plans are robot control programs that a robot can not only execute but also reason about and manipulate [4]. Thus, a plan-based c- troller is able to manage and adapt the robot s intended course of action the plan while executing it and can thereby better achieve complex and changing tasks.
Descrizione del documento:Actes d'un séminaire tenu à Dagstuhl Castle du 21 au 26 octobre 2001, d'après l écran-titre
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540377245 (PDF)
ISSN:1611-3349
2945-9141
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