| 书目名称 | Nonlinear Kalman Filtering for Force-Controlled Robot Tasks |
| 编辑 | Tine Lefebvre,Herman Bruyninckx,Joris Schutter |
| 视频video | |
| 概述 | Demonstrates how to improve robot autonomy by means of reliable processing skills.Latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization |
| 丛书名称 | Springer Tracts in Advanced Robotics |
| 图书封面 |  |
| 描述 | .This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills. "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy. Kalman filtering techniques are applied to identify the contact state based on force sensing between a grasped object and the environment. The potential of this work is to be found not only for industrial robot operation in space, sub-sea or nuclear scenarios, but also for service robots operating in unstructured environments co-habited by humans where autonomous compliant tasks require active sensing.. |
| 出版日期 | Book 2005 |
| 关键词 | autonom; filtering; industrial robot; optimization; robot; sensing; service robot |
| 版次 | 1 |
| doi | https://doi.org/10.1007/11533054 |
| isbn_softcover | 978-3-642-06629-0 |
| isbn_ebook | 978-3-540-31504-9Series ISSN 1610-7438 Series E-ISSN 1610-742X |
| issn_series | 1610-7438 |
| copyright | Springer-Verlag Berlin Heidelberg 2005 |
发表于 2025-3-21 16:08:53
