| 书目名称 | Shepherding UxVs for Human-Swarm Teaming |
| 副标题 | An Artificial Intell |
| 编辑 | Hussein A. Abbass,Robert A. Hunjet |
| 视频video | |
| 概述 | Presents a comprehensive look at human-swarm teaming.Tackles artificial intelligence techniques for swarm guidance.Provides artificial intelligence techniques for real-time human performance analysis |
| 丛书名称 | Unmanned System Technologies |
| 图书封面 |  |
| 描述 | .This book draws inspiration from natural shepherding, whereby a farmer utilizes sheepdogs to herd sheep, to inspire a scalable and inherently human friendly approach to swarm control. The book discusses advanced artificial intelligence (AI) approaches needed to design smart robotic shepherding agents capable of controlling biological swarms or robotic swarms of unmanned vehicles. These smart shepherding agents are described with the techniques applicable to the control of Unmanned X Vehicles (UxVs) including air (unmanned aerial vehicles or UAVs), ground (unmanned ground vehicles or UGVs), underwater (unmanned underwater vehicles or UUVs), and on the surface of water (unmanned surface vehicles or USVs). This book proposes how smart ‘shepherds’ could be designed and used to guide a swarm of UxVs to achieve a goal while ameliorating typical communication bandwidth issues that arise in the control of multi agent systems. The book covers a wide range of topics ranging from the design ofdeep reinforcement learning models for shepherding a swarm, transparency in swarm guidance, and ontology-guided learning, to the design of smart swarm guidance methods for shepherding with UGVs and UAVs |
| 出版日期 | Book 2021 |
| 关键词 | Activity Recognition; Human-Swarm Teaming; Swarm Intelligence; Swarm Reinforcement Learning; Swarm Robot |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-60898-9 |
| isbn_softcover | 978-3-030-60900-9 |
| isbn_ebook | 978-3-030-60898-9Series ISSN 2523-3734 Series E-ISSN 2523-3742 |
| issn_series | 2523-3734 |
| copyright | Springer Nature Switzerland AG 2021 |
发表于 2025-3-21 18:30:13
