| 书目名称 | Metareasoning for Robots |
| 副标题 | Adapting in Dynamic |
| 编辑 | Jeffrey W. Herrmann |
| 视频video | |
| 概述 | Introduces key concepts, discusses design options for metareasoning approaches and policies.Features design guidelines and helpful examples that researchers and engineers can use to make their robots |
| 丛书名称 | Synthesis Lectures on Computer Science |
| 图书封面 |  |
| 描述 | .This book is a state of the art resource that robotics researchers and engineers can use to make their robots and autonomous vehicles smarter. Readers will be able to describe metareasoning, select an appropriate metareasoning approach, and synthesize metareasoning policies. .Metareasoning for Robots. adopts a systems engineering perspective in which metareasoning is an approach that can improve the overall robot or autonomous system, not just one component or subsystem. This book introduces key concepts, discusses design options for metareasoning approaches and policies, and presents approaches for testing and evaluation of metareasoning policies. After considering the conceptual design phase, it discusses how to implement metareasoning in the robot’s software architecture and how to synthesize metareasoning policies. Every chapter has references to valuable works on robotics and metareasoning, and the book uses examples from the author’s own research andfrom other research groups to illustrate these ideas. In addition, this book provides links to books and papers for readers who wish to investigate these topics further. . |
| 出版日期 | Book 2023 |
| 关键词 | Autonomous Robots; Autonomous Systems; Adaptive Planning; Metareasoning for Robots; Rational Robots; Boun |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-32237-2 |
| isbn_softcover | 978-3-031-32239-6 |
| isbn_ebook | 978-3-031-32237-2Series ISSN 1932-1228 Series E-ISSN 1932-1686 |
| issn_series | 1932-1228 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:31:26
