Custom cover image
Custom cover image

Plan-Based Control of Robotic Agents : Improving the Capabilities of Autonomous Robots / edited by Michael Beetz

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection Computer Science | Lecture notes in computer science ; 2554Publisher: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2002Description: Online-RessourceISBN:
  • 9783540363811
Subject(s): Additional physical formats: 9783540003359 | Buchausg. u.d.T.: Plan-based control of robotic agents. Berlin : Springer, 2002. XI, 191 SDDC classification:
  • 629.8/92
  • 006.3 23
  • 629.892
  • 629.8 23
MSC: MSC: *68U99 | 68T40RVK: RVK: ZQ 6250LOC classification:
  • Q334-342
  • TJ210.2-211.495
DOI: DOI: 10.1007/3-540-36381-5Online resources: Summary: 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 detailPPN: PPN: 164918946XPackage identifier: Produktsigel: ZDB-2-BAE | ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
No physical items for this record
KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT