找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Learning Robots; 6th European Worksho Andreas Birk,John Demiris Conference proceedings 1998 Springer-Verlag Berlin Heidelberg 1998 artifici

[復(fù)制鏈接]
樓主: 征募
31#
發(fā)表于 2025-3-26 22:09:03 | 只看該作者
Vision Based State Space Construction for Learning Mobile Robots in Multi Agent Environments,a well-defined state space so that they can converge correctly. Especially in multi-agent environments, the problem becomes more difficult since visual information observed by a learning robot seems irrelevant to its self motion due to actions by other agents of which policies are unknown. This pape
32#
發(fā)表于 2025-3-27 02:19:05 | 只看該作者
Transmitting Communication Skills Through Imitation in Autonomous Robots,hod, based on a simple imitative strategy, for transmitting a vocabulary from a teacher agent to a learner agent. A learner robot follows and thus implicitly imitates the movements of a teacher robot. While bounded by mutual following, learner and teacher agents are set in a position from which they
33#
發(fā)表于 2025-3-27 06:31:45 | 只看該作者
34#
發(fā)表于 2025-3-27 13:31:00 | 只看該作者
35#
發(fā)表于 2025-3-27 16:02:03 | 只看該作者
Perceptual grounding in robots,riment is part of a larger experiment, in which autonomous agents ground an adaptive language through self-organization. Grounding is achieved by the implementation of the hypothesis that meaning can be created using mechanisms like feature generation and self-organization. The experiments were carr
36#
發(fā)表于 2025-3-27 19:12:57 | 只看該作者
A Learning Mobile Robot: Theory, Simulation and Practice,l reactive control that is modulated on-line by a learning system based on case-based reasoning and reinforcement learning. The case-based reasoning part captures regularities in the environment. The reinforcement learning part gradually improves the acquired knowledge. Evaluation of the controller
37#
發(fā)表于 2025-3-28 01:51:19 | 只看該作者
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition,them. One solution to cope the difficulties in designing robots is to adopt . methods. Evolution-based approaches are a special kind of machine learning method and during the last few years some researchers have shown the advantages of using this kind of approach to automate the design of robots. Ho
38#
發(fā)表于 2025-3-28 04:23:09 | 只看該作者
Robot Learning using Gate-Level Evolvable Hardware,bedded systems such as a mobile robot. This paper studies an evolutionary navigation system for a mobile robot using an evolvable hardware (EHW) approach. This approach is unique in that it combines learning and evolution, which was usually realized by software, with hardware. It can be regarded as
39#
發(fā)表于 2025-3-28 06:59:40 | 只看該作者
trie, insbesondere im Bereich der Produktion von Pharmazeutika oder Spezialchemikalien vorkommen, nimmt die Koordination der netzwerkweiten Produktionsaktivit?ten einen gro?en Stellenwert ein. Bedingt durch die speziellen Anforderungen chemischer Produktionsabl?ufe führt eine unzureichend koordinier
40#
發(fā)表于 2025-3-28 12:46:57 | 只看該作者
Tony Belpaeme,Joris Van Looveren,Luc Steelsmunikati- onsforschung sowie eine in der Praxis verfolgte Zielsetzung. Bereits zum Anfang der siebziger Jahre setzten sich erste wissenschaftliche Beitr?ge mit der Frage- stellung einer Verbindung einzelner Kommunikationsinstrumente auseinander. Auch in der Unternehmenspraxis und insbesondere in den
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 01:52
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
石首市| 垦利县| 澄城县| 仪征市| 高青县| 苍梧县| 和林格尔县| 左贡县| 宿州市| 保定市| 平罗县| 丰宁| 连山| 琼海市| 泸水县| 巴里| 松阳县| 伊宁市| 顺平县| 忻州市| 满洲里市| 宜良县| 苍溪县| 中阳县| 南开区| 贺兰县| 宝丰县| 六盘水市| 紫阳县| 台中市| 鸡东县| 宁明县| 凌源市| 洪泽县| 北辰区| 德兴市| 宁阳县| 遂溪县| 信丰县| 重庆市| 伊通|