| 期刊全称 | Approaches to Probabilistic Model Learning for Mobile Manipulation Robots | | 影响因子2023 | Jürgen Sturm | | 视频video | | | 发行地址 | Presents recent research in Probabilistic Model Learning for Mobile Manipulation Robots.Presents novel learning techniques that enable mobile manipulation robots, i.e., mobile platforms with one or mo | | 学科分类 | Springer Tracts in Advanced Robotics | | 图书封面 |  | | 影响因子 | .Mobile manipulation robots are envisioned to provide many useful services both in domestic environments as well as in the industrial context..Examples include domestic service robots that implement large parts of the housework, and versatile industrial assistants that provide automation, transportation, inspection, and monitoring services. The challenge in these applications is that the robots have to function under changing, real-world conditions, be able to deal with considerable amounts of noise and uncertainty, and operate without the supervision of an expert..This book presents novel learning techniques that enable mobile manipulation robots, i.e., mobile platforms with one or more robotic manipulators, to autonomously adapt to new or changing situations. The approaches presented in this book cover the following topics: (1) learning the robot‘s kinematic structure and properties using actuation and visual feedback, (2) learning about articulated objects in the environment in which the robot is operating, (3) using tactile feedback to augment the visual perception, and (4) learning novel manipulation tasks from human demonstrations..This book is an ideal resource for postgradu | | Pindex | Book 2013 |
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发表于 2025-3-21 18:49:35
