检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

128 篇 会议
24 篇 期刊文献

馆藏范围

152 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

64 篇 工学
- 33 篇 控制科学与工程
- 23 篇 机械工程
- 22 篇 仪器科学与技术
- 22 篇 计算机科学与技术...
- 20 篇 软件工程
- 6 篇 生物工程
- 4 篇 力学（可授工学、理...
- 4 篇 电气工程
- 3 篇 材料科学与工程（可...
- 3 篇 生物医学工程（可授...
- 2 篇 电子科学与技术（可...
- 2 篇 信息与通信工程
- 2 篇 航空宇航科学与技...
- 1 篇 光学工程
- 1 篇 动力工程及工程热...
- 1 篇 轻工技术与工程
25 篇 理学
- 15 篇 数学
- 10 篇 系统科学
- 6 篇 生物学
- 5 篇 物理学
- 3 篇 统计学（可授理学、...
- 1 篇 大气科学
8 篇 管理学
- 7 篇 管理科学与工程(可...
- 2 篇 图书情报与档案管...
- 1 篇 工商管理
4 篇 医学
- 4 篇 临床医学
- 2 篇 基础医学(可授医学...
- 1 篇 药学(可授医学、理...
- 1 篇 护理学（可授医学、...
1 篇 教育学
- 1 篇 教育学

主题

17 篇 robots
15 篇 robot kinematics
15 篇 mathematical mod...
14 篇 kinematics
10 篇 force
10 篇 intelligent robo...
8 篇 control systems
7 篇 process control
7 篇 artificial intel...
7 篇 dynamics
6 篇 legged locomotio...
6 篇 mobile robots
6 篇 learning
6 篇 robot sensing sy...
6 篇 trajectory
6 篇 estimation
6 篇 robustness
5 篇 quadruped robots
5 篇 real-time system...
5 篇 mechatronics

机构

5 篇 advanced robotic...
5 篇 advanced robotic...
5 篇 university of ch...
5 篇 center of excell...
4 篇 the center of ex...
3 篇 center of excell...
3 篇 center of excell...
3 篇 department of el...
3 篇 center of excell...
3 篇 center of excell...
3 篇 department of me...
3 篇 center of excell...
2 篇 center of excell...
2 篇 department of me...
2 篇 advanced robotic...
2 篇 department of el...
2 篇 robotics researc...
2 篇 center of excell...
2 篇 center of excell...
2 篇 center of excell...

作者

46 篇 s. ali a. moosav...
12 篇 hamid d. taghira...
10 篇 majid nili ahmad...
10 篇 omid mahdizadeh
7 篇 vahid akbari
7 篇 moosavian s. ali...
7 篇 h. d. taghirad
6 篇 mahdi nabipour
6 篇 m.n. ahmadabadi
5 篇 mahdi khorram
5 篇 farzaneh abdolla...
4 篇 mohammad dehghan...
3 篇 nima maghooli
3 篇 ali nasr
3 篇 sina hallajian
3 篇 ahmadabadi majid...
3 篇 sina ghanaat
3 篇 m. motaharifar
3 篇 adel akbarimajd
3 篇 dehghani mohamma...

语言

147 篇 英文
5 篇 中文

检索条件"机构=Center of Excellence on Control and Robotics"

共 152 条记录，以下是141-150 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Who moved?! An investigation into distribution of actions and behaviors in a multi agent system

Who moved?! An investigation into distribution of actions an...

引用

2006 IEEE International Conference on Mechatronics, ICM

作者： Daneshvar, Roozbeh Lucas, Caro Artificial Intelligence and Robotics Lab. Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Faculty of Electrical and Computer Engineering University of Tehran and School of Intelligent Systems Tehran Iran

ISBN: (纸本)0780397134

In this paper we have considered systems in which agents communicate via their environment. In these systems the agents do not have direct and explicit communication with each other and instead they have implicit communication which is performed via the environment they are located in. Different kinds of environment elements are considered to be changed while on the other hand for all of these situations there is a change in the environment and this change means potential stimuli that fires behaviors of agents for future. It is considered that if we can find a track of changes in the environment and find the roots of a movement in an agent that is originally made by another agent of the group. © 2006 IEEE.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Learning Individual Skills and Team Behaviors for Distributed Object Pushing

Learning Individual Skills and Team Behaviors for Distribute...

引用

IEEE International Conference on Mechatronics and Automation

作者： Hossein Aminaiee Majid Nili Ahmadabadi Control and Intelligent Processing Center of Excellence Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

In this paper we discuss a learning approach to distributed object pushing. In the proposed approach, first the required individual skills for single-robot object pushing are learned using a fuzzy reinforcement learning method. Then, the robots learn how to coordinate their actions to push the object to the desired configuration cooperatively in a distributed manner. The proposed team-level learning benefits from the knowledge, which is in the form of a Q-table, that the agent has gained in its individual learning phase by a special design of reward signal and state-action representation. Each robot learns a threshold on its Q-value using a single state reinforcement learning method and pushes the object when the Q-value of its best action in the current state is above this threshold. The reward signal is designed based on the robots' Q-tables and no external critic is needed for learning cooperation. Simulation results show that the robots learn their individual skills and a cooperation protocol to push the object cooperatively

关键词： Robot kinematics Learning Protocols Robot control robotics and automation Intelligent robots Signal design Mechatronics Process control Intelligent control

来源：评论

学校读者我要写书评

暂无评论

Learning Distributed Object Pushing: Individual Learning and Distributed Cooperation Protocol

Learning Distributed Object Pushing: Individual Learning and...

引用

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Hossein Aminaiee Majid Nili Ahmadabadi Control and Intelligent Processing Center of Excellence Robotics and AI Lab Department of Electrical and Computer Engineering University of Tehran Iran

In this paper we study learning in cooperative object pushing systems. The proposed approach is based on the idea of learning individual skills and then mapping the required cooperative behaviors on the learned skills. The control point for each individual robot is chosen so as to simplify the design of the reinforcement signal and reduce the role of delayed reward on individual learning in addition to make cooperative protocol simpler. A fuzzy Q-learning system for learning individual object pushing is proposed, together with a method for coordination among the robots to push the object cooperatively. The coordination method takes into account the dynamics of the object and the learned individual skills. The idea of the coordination protocol is based on the notion of ability and active regions defined in this paper. In effect, the cooperation protocol is mapped to a Q-value based policy. Simulation results supportively show that the robots learn individual and cooperative object pushing efficiently

关键词： Protocols Robot kinematics Intelligent robots Fuzzy systems Learning Friction control systems Artificial intelligence Robot control Fuzzy control

来源：评论

学校读者我要写书评

暂无评论

A New Architecture to Execute CAs-Based Path-Planning Algorithm in Mobile Robots

A New Architecture to Execute CAs-Based Path-Planning Algori...

引用

International Conference on Mechatronics (ICM)

作者： Adel Akbarimajd Caro Lucas Robotics and AI Laboratory Department of Electrical and Computer Engineering University of Tehran Iran Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Iran

Several path-planning algorithms for mobile robots have been introduced. Proper architectures for mobile robots to implement the path-planning algorithms are also of interest. If the mobile robots are to perform complicated tasks including complex sensing and planning operations and have accepted performance, must be autonomous: capable of acquiring information and performing tasks without programmatic intervention. In this paper we employ a layered architecture for mobile robots to perform our previously introduced cellular automata based path planning technique. It employs an abstraction approach which makes the complexity manageable. The architecture has an important feature which is its internal artifacts; it has some beliefs about the world and these beliefs are represented in artifacts and most actions are planned and performed with respect to these artifacts

关键词： Path planning Mobile robots Robot kinematics Content addressable storage Lattices Computer architecture Orbital robotics Automata Intelligent sensors robotics and automation

来源：评论

学校读者我要写书评

暂无评论

Who Moved?! An Investigation into Distribution of Actions and Behaviors in a Multi Agent System

Who Moved?! An Investigation into Distribution of Actions an...

引用

International Conference on Mechatronics (ICM)

作者： Roozbeh Daneshvar Caro Lucas Artificial Intelligence and Robotics Laboratory Faculty of Electrical and Computer Engineering University of Tehran Tehran Iran Center of Excellence for Control and Intelligent Processing Faculty of Electrical and Computer Engineering School of Intelligent Systems IPM University of Tehran Tehran Iran

关键词： Artificial intelligence Intelligent robots Fires Tracking Process control Communication system control control systems Intelligent control Optical computing Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Kinematics Modeling of a Wheel-Based Pole Climbing Robot (UT-PCR)

Kinematics Modeling of a Wheel-Based Pole Climbing Robot (UT...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： A. Baghani M.N. Ahmadabadi A. Harati Robotics and AI Lab Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Iran

This paper is concerned with the derivation of the kinematics model of the University of Tehran-Pole Climbing Robot (UT-PCR). As the first step, an appropriate set of coordinates is selected and used to describe the state of the robot. Nonholonomic constraints imposed by the wheels are then expressed as a set of differential equations. By describing these equations in terms of the state of the robot an underactuated driftless nonlinear control system with affine inputs that governs the motion of the robot is derived. A set of experimental results are also given to show the capability of the UT-PCR in climbing a stepped pole.

关键词： Climbing robots Wheels Mobile robots Robot kinematics Road transportation Intelligent robots Inspection Cleaning Artificial intelligence Stability

来源：评论

学校读者我要写书评

暂无评论

Learning distributed grasp in presence of redundant agents

Learning distributed grasp in presence of redundant agents

引用

IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： A.H. Elahibakhsh M. Nili Ahmadabadi F. Janabi-Sharifi B. Nadjar Araabi AI & Robotics Laboratory Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Eng. Institute for Studies on Theoretical Physics and Mathematics University of Tehran Tehran Iran Robotics and Manufacturing Automation Lab Department of Mechanical and Industrial Engineering Ryerson University Toronto ONT Canada

Learning distributed object grasp by a group of robots with redundant members is the main focus of this paper. In Elahibakhsh, A. H., et al. (2004), we tackled the problem of learning form closure grasp for planar convex objects by multiple non-communicating robots without any information about the shape of objects. In this paper, the problem in presence of redundant agents is investigated. Agents' states and actions are designed such that the group learns grasping different objects using Q-learning method. As the environment is not intelligent enough to assess each agent's effect on the team performance, a credit assignment algorithm based on knowledge evaluation is designed. The proposed method considers the environment credit for the team, number of redundant agents, and the expertness level of each agent in its credit assignment. Applicability of the designed approach is verified through a set of simulations. It is shown that the team learns grasping different objects. Therefore, it is expected that the proposed method can be extended for distributed grasp of deformable objects

关键词： Intelligent robots Learning Robot sensing systems Shape Cognitive robotics robotics and automation Intelligent agent Algorithm design and analysis Grasping Redundancy

来源：评论

学校读者我要写书评

暂无评论

A distributed deterministic help scheme to improve the system fault tolerance

A distributed deterministic help scheme to improve the syste...

引用

Proceedings of the Biannual World Automation Congress

作者： M.S. Mirian M.N. Ahmadabadi Control and Intelligent Processing Center of Excellence and AI and Robotics Laboratory Department of ECE University of Tehran Iran

This paper proposes some methods to improve the fault-tolerance in distributed systems specifically in deterministic situations by distributed decision-making and coordination. Providing a distributed system with fault tolerance is a feasible but hard problem due to the intrinsic aspects of such systems such as: independency, unpredictability and communication problem. A multi-agent system as an instance of distributed system, can handle different kinds of fault by using traditional fault tolerance techniques. But what focused in this paper are agent-based techniques. In fact proposed methods are based on agent-based help provision by distributed cooperation among helper agents. The helpers try to tune their normal roles such that they can undertake the faulty agents' tasks too. These helpers go through a sub-optimal task selection algorithm, to decide whom to help. It is important to remark that there is no explicit interaction; instead they coordinate their decisions implicitly by adopting the most appropriate task in terms of their speed, relative reliability and the task's criticality coefficient. Proposed ideas are tested on a DCS-like tested to improve its fault tolerance. The results illustrate the effectiveness of the approaches in comparison to the case of no help situation and the case of using purely redundant components.

关键词： Fault tolerant systems Multiagent systems control systems Distributed decision making Redundancy Power system reliability Process control Intelligent control Artificial intelligence Testing

来源：评论

学校读者我要写书评

暂无评论

Distributed form closure for convex planar objects through reinforcement learning with local information

Distributed form closure for convex planar objects through r...

引用

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)

作者： A.H. Elahibakhsh M.N. Ahmadabadi F.J. Sharifi B.N. Araabi School of Cognitive Sciences Institute for Studies on Theoretical Physics and Mathematics Tehran Iran Dept. of Electrical and Computer Eng. AI & Robotics Lab. Center of Excellence for Control and Intelligent Processing University of Tehran Tehran Iran

Many real world applications would involve grasp of large objects in unstructured environments. Agent-based approach to multi-robot grasp of objects would prove useful under the above circumstances. In this paper, the problem of form closure grasp for planar convex objects by multiple robots is tackled. Contrary to the previous approaches, no a priori information about the shape of the object is assumed, and the robots are not allowed to fully communicate among themselves. A distributed multi-agent based approach using Q-learning is proposed. The state space, action set and learning algorithm are formulated. The results are verified through simulations using a developed Q-learning test bed.

关键词： Learning Orbital robotics Intelligent robots Shape control Robot sensing systems Testing Artificial intelligence Cognitive robotics robotics and automation Automatic control

来源：评论

学校读者我要写书评

暂无评论

An extension of weighted strategy sharing in cooperative Q-learning for specialized agents

An extension of weighted strategy sharing in cooperative Q-l...

引用

International Conference on Neural Information Processing

作者： S.M. Eshgh M.N. Ahmadabadi School of Intelligent Systems Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence and Robotics Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rides for unseen situations. These benefits will be gained if the learning agents know the area of expertise and the expertness values of each other. In this paper, some Q-learning agents with different skills and expertness levels cooperate in learning. The agents use some criteria to judge others information and knowledge. Four expertness criterion, certainty and entropy measures are used to assign degrees of importance to others' Q-Tables. Effects of measuring these values based on their whole Q-Table, a portion of Q-Tables that reflects their proficiencies, and the states in Q-Tables on the learning quality are studied. Simple strategy sharing and two different weighted strategy-sharing methods are used to combine the acquired knowledge from different agents.

关键词： Intelligent robots Intelligent agent Process control control systems Intelligent control Laboratories Intelligent systems Physics Mathematics Entropy

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共16页 << < 7 8 9 10 11 12 13 14 15 16 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：