| 书目名称 | Learning-Based Robot Vision |
| 副标题 | Principles and Appli |
| 编辑 | Josef Pauli |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | Industrial robots carry out simple tasks in customized environments for which it is typical that nearly all e?ector movements can be planned during an - line phase. A continual control based on sensory feedback is at most necessary at e?ector positions near target locations utilizing torque or haptic sensors. It is desirable to develop new-generation robots showing higher degrees of autonomy for solving high-level deliberate tasks in natural and dynamic en- ronments. Obviously, camera-equipped robot systems, which take and process images and make use of the visual data, can solve more sophisticated robotic tasks. The development of a (semi-) autonomous camera-equipped robot must be grounded on an infrastructure, based on which the system can acquire and/or adapt task-relevant competences autonomously. This infrastructure consists of technical equipment to support the presentation of real world training samples, various learning mechanisms for automatically acquiring function approximations, and testing methods for evaluating the quality of the learned functions. Accordingly, to develop autonomous camera-equipped robot systems one must ?rst demonstrate relevant objects, critical sit |
| 出版日期 | Book 2001 |
| 关键词 | Computer vision; algorithmic learning; autonom; autonomous agents; camera-equiped robots; cognitive syste |
| 版次 | 1 |
| doi | https://doi.org/10.1007/3-540-45124-2 |
| isbn_softcover | 978-3-540-42108-5 |
| isbn_ebook | 978-3-540-45124-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2001 |
发表于 2025-3-21 16:20:14
