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Advances In Planbased Control Of Robotic Agents International Seminar Dagstuhl Castle Germany October 2126 2001 Revised Papers 1st Edition Rachid Alami

  • SKU: BELL-4199988
Advances In Planbased Control Of Robotic Agents International Seminar Dagstuhl Castle Germany October 2126 2001 Revised Papers 1st Edition Rachid Alami
$ 31.00 $ 45.00 (-31%)

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Advances In Planbased Control Of Robotic Agents International Seminar Dagstuhl Castle Germany October 2126 2001 Revised Papers 1st Edition Rachid Alami instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 5.14 MB
Pages: 296
Author: Rachid Alami, Silvia Silva da Costa Bothelho (auth.), Michael Beetz, Joachim Hertzberg, Malik Ghallab, Martha E. Pollack (eds.)
ISBN: 9783540001683, 9783540377245, 3540001689, 3540377247
Language: English
Year: 2002
Edition: 1

Product desciption

Advances In Planbased Control Of Robotic Agents International Seminar Dagstuhl Castle Germany October 2126 2001 Revised Papers 1st Edition Rachid Alami by Rachid Alami, Silvia Silva Da Costa Bothelho (auth.), Michael Beetz, Joachim Hertzberg, Malik Ghallab, Martha E. Pollack (eds.) 9783540001683, 9783540377245, 3540001689, 3540377247 instant download after payment.

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.

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