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Titlebook: Advances in Robot Learning; 8th European Workhop Jeremy Wyatt,John Demiris Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 20

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發(fā)表于 2025-3-21 18:08:27 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Robot Learning
期刊簡稱8th European Workhop
影響因子2023Jeremy Wyatt,John Demiris
視頻videohttp://file.papertrans.cn/150/149615/149615.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Robot Learning; 8th European Workhop Jeremy Wyatt,John Demiris Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 20
Pindex Conference proceedings 2000
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沙發(fā)
發(fā)表于 2025-3-21 20:56:55 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:42:57 | 只看該作者
Advances in Robot Learning978-3-540-40044-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
地板
發(fā)表于 2025-3-22 04:52:45 | 只看該作者
0302-9743 Overview: Includes supplementary material: 978-3-540-41162-8978-3-540-40044-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
5#
發(fā)表于 2025-3-22 10:30:19 | 只看該作者
Kwan-Hee Lee,Hyo-Jung Bae,Sung-Je Hongcognitive map builds up a graph linking together reachable places. We first demonstrate that this map may be used for the control of the robot speed assuring a convergence to the goal. We show afterwards that this model enables to select between different goals in a static environment and finally in a changing environment.
6#
發(fā)表于 2025-3-22 13:13:08 | 只看該作者
A Planning Map for Mobile Robots: Speed Control and Paths Finding in a Changing Environment,cognitive map builds up a graph linking together reachable places. We first demonstrate that this map may be used for the control of the robot speed assuring a convergence to the goal. We show afterwards that this model enables to select between different goals in a static environment and finally in a changing environment.
7#
發(fā)表于 2025-3-22 18:06:23 | 只看該作者
8#
發(fā)表于 2025-3-22 21:45:53 | 只看該作者
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發(fā)表于 2025-3-23 02:20:12 | 只看該作者
I.V. Bychkov,A.D. Kitov,E.A. Cherkashin. obstacle avoidance)..The simplest method to achieve navigation in mobile robot is to use path integration. However, because this method suffers from drift errors, it is not robust enough for navigation over middle scale and large scale distances..This paper gives an overview of research in mobile
10#
發(fā)表于 2025-3-23 06:53:15 | 只看該作者
M. Dumbser,T. Schwartzkopff,C.-D. Munzin a controlled environment and to collect objects using its gripper. Our aim is to build a control system that enables the robot to learn incrementally and to adapt to changes in the environment. The former is known as multi-task learning, the latter is usually referred to as continual ‘lifelong’ l
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