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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Advances in Plan-Based Control of Robotic Agents: International Seminar, Dagstuhl Castle, Germany, October 21-26, 2001, Revised Papers

Advances in Plan-Based Control of Robotic Agents: International Seminar, Dagstuhl Castle, Germany, October 21-26, 2001, Revised Papers

Beetz, Michael
Guibas, Leonidas
Herztberg, Joachim

Paperback

Technology & EngineeringGeneral Computers

ISBN10: 3540001689
ISBN13: 9783540001683
Publisher: Springer
Published: Nov 1 2002
Pages: 296
Weight: 1.00
Height: 0.69 Width: 6.56 Depth: 9.24
Language: English
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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