| 书目名称 | Visual Perception for Humanoid Robots |
| 副标题 | Environmental Recogn |
| 编辑 | David Israel González Aguirre |
| 视频video | |
| 概述 | Presents recent research on environmental visual perception for humanoid robots.Includes models and applications.Provides an overview of model-based environmental visual perception for humanoid robots |
| 丛书名称 | Cognitive Systems Monographs |
| 图书封面 |  |
| 描述 | This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a .bidirectional bridge. connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: .What & where is it?. To answer these questions using a .sensor-to-representation bridge., coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth:. .• .Active Sensing.: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. .• .Feature Extraction & Recognition.: Parameter-free, edge extraction methods based on structural graphs enable the representati |
| 出版日期 | Book 2019 |
| 关键词 | Cognitive Systems; Computational Intelligence; Environmental Visual Perception; Humanoid Robots; Intelli |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-97841-3 |
| isbn_softcover | 978-3-030-07415-9 |
| isbn_ebook | 978-3-319-97841-3Series ISSN 1867-4925 Series E-ISSN 1867-4933 |
| issn_series | 1867-4925 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 16:28:55
