Plan-based control of robotic agents : improving the capabilities of autonomous robots

著者

    • Beetz, Michael

書誌事項

Plan-based control of robotic agents : improving the capabilities of autonomous robots

Michael Beetz

(Lecture notes in computer science, 2554 . Lecture notes in artificial intelligence)

Springer, c2002

大学図書館所蔵 件 / 28

この図書・雑誌をさがす

注記

Bibliography: p. [181]-191

内容説明・目次

内容説明

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.

目次

Overview of the Control System.- Plan Representation for Robotic Agents.- Probabilistic Hybrid Action Models.- Learning Structured Reactive Navigation Plans.- Plan-Based Robotic Agents.- Conclusions.

「Nielsen BookData」 より

関連文献: 1件中  1-1を表示

詳細情報

ページトップへ