| 书目名称 | Plan-Based Control of Robotic Agents | | 副标题 | Improving the Capabi | | 编辑 | Michael Beetz | | 视频video | | | 概述 | Includes supplementary material: | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2002 | | 关键词 | Agents; Navigation; Reactive Control; Reactive Plans; Robot Control; Robot Learning; Robot Navigation; Robo | | 版次 | 1 | | doi | https://doi.org/10.1007/3-540-36381-5 | | isbn_softcover | 978-3-540-00335-9 | | isbn_ebook | 978-3-540-36381-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2002 |
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发表于 2025-3-21 18:31:21
