Plan-Based Control of Robotic Agents Improving the Capabilities of Autonomous Robots /

• Κύριος συγγραφέας: Beetz, Michael (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Έκδοση: 1st ed. 2002.
• Σειρά: Lecture Notes in Artificial Intelligence ; 2554
• Θέματα: Robotics.; Automation.; Artificial intelligence.; Computer science.; Computer communication systems.; Special purpose computers.; Control engineering.; Mechatronics.; Robotics and Automation.; Artificial Intelligence.; Computer Science, general.; Computer Communication Networks.; Special Purpose and Application-Based Systems.; Control, Robotics, Mechatronics.
• Φυσική περιγραφή: XI, 194 p. online resource.
• ISBN: 9783540363811
• DOI: 10.1007/3-540-36381-5

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.