Buch, Englisch, 194 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g
Improving the Capabilities of Autonomous Robots
Buch, Englisch, 194 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-540-00335-9
Verlag: Springer Berlin Heidelberg
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik EDV | Informatik Technische Informatik Externe Speicher & Peripheriegeräte
Weitere Infos & Material
Overview of the Control System.- Plan Representation for Robotic Agents.- Probabilistic Hybrid Action Models.- Learning Structured Reactive Navigation Plans.- Plan-Based Robotic Agents.- Conclusions.
