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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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发表于 2025-3-21 18:08:27 | 显示全部楼层 |阅读模式
期刊全称Advances in Robot Learning
期刊简称8th European Workhop
影响因子2023Jeremy Wyatt,John Demiris
视频video
发行地址Includes supplementary material:
学科分类Lecture Notes in Computer Science
图书封面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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书目名称Advances in Robot Learning影响因子(影响力)




书目名称Advances in Robot Learning影响因子(影响力)学科排名




书目名称Advances in Robot Learning网络公开度




书目名称Advances in Robot Learning网络公开度学科排名




书目名称Advances in Robot Learning被引频次




书目名称Advances in Robot Learning被引频次学科排名




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书目名称Advances in Robot Learning年度引用学科排名




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书目名称Advances in Robot Learning读者反馈学科排名




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Advances in Robot Learning978-3-540-40044-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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0302-9743 Overview: Includes supplementary material: 978-3-540-41162-8978-3-540-40044-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 10:30:19 | 显示全部楼层
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.
发表于 2025-3-22 13:13:08 | 显示全部楼层
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.
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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
发表于 2025-3-23 06:53:15 | 显示全部楼层
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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