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

24,595 篇 会议
162 篇 期刊文献
56 册 图书
1 篇 学位论文
1 篇 科技报告

馆藏范围

24,815 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,151 篇 工学
- 6,343 篇 控制科学与工程
- 4,118 篇 计算机科学与技术...
- 2,664 篇 软件工程
- 2,151 篇 电气工程
- 1,866 篇 机械工程
- 1,146 篇 仪器科学与技术
- 739 篇 信息与通信工程
- 587 篇 生物工程
- 474 篇 生物医学工程（可授...
- 431 篇 光学工程
- 404 篇 力学（可授工学、理...
- 389 篇 电子科学与技术（可...
- 264 篇 化学工程与技术
- 252 篇 材料科学与工程（可...
- 252 篇 交通运输工程
- 246 篇 动力工程及工程热...
- 217 篇 土木工程
- 206 篇 建筑学
- 183 篇 安全科学与工程
3,078 篇 理学
- 1,768 篇 数学
- 906 篇 物理学
- 644 篇 生物学
- 582 篇 统计学（可授理学、...
- 482 篇 系统科学
- 230 篇 化学
1,226 篇 管理学
- 961 篇 管理科学与工程(可...
- 310 篇 工商管理
- 307 篇 图书情报与档案管...
328 篇 医学
- 287 篇 临床医学
- 205 篇 基础医学(可授医学...
122 篇 经济学
106 篇 法学
87 篇 农学
53 篇 教育学
27 篇 文学
16 篇 军事学
13 篇 艺术学
1 篇 哲学

主题

2,477 篇 predictive model...
1,995 篇 robots
1,825 篇 robotics and aut...
1,737 篇 computational mo...
1,715 篇 automation
1,651 篇 data models
1,584 篇 robot sensing sy...
1,490 篇 analytical model...
1,404 篇 adaptation model...
1,384 篇 training
1,175 篇 accuracy
1,141 篇 mathematical mod...
1,100 篇 trajectory
1,048 篇 mobile robots
916 篇 feature extracti...
843 篇 robustness
840 篇 robot kinematics
793 篇 control systems
718 篇 solid modeling
698 篇 uncertainty

机构

179 篇 university of ch...
144 篇 school of artifi...
111 篇 robotics institu...
88 篇 school of automa...
84 篇 institute of aut...
72 篇 shenyang institu...
69 篇 institutes for r...
68 篇 the robotics ins...
68 篇 school of electr...
63 篇 state key labora...
61 篇 school of mechat...
50 篇 department of au...
49 篇 department of au...
48 篇 state key labora...
46 篇 school of automa...
44 篇 school of mechan...
42 篇 robotics institu...
39 篇 school of automa...
32 篇 school of automa...
30 篇 college of autom...

作者

37 篇 secchi cristian
34 篇 yuechao wang
32 篇 yun-hui liu
31 篇 cristian secchi
29 篇 shugen ma
28 篇 lining sun
24 篇 xiang li
22 篇 jian wang
22 篇 jianda han
22 篇 fabio ramos
20 篇 xinyu wu
20 篇 wu xinyu
20 篇 daniela rus
19 篇 tomizuka masayos...
19 篇 wei li
19 篇 levine sergey
18 篇 c. laugier
18 篇 jie zhao
18 篇 chen chen
18 篇 dinesh manocha

语言

24,278 篇 英文
453 篇 其他
95 篇 中文
2 篇 西班牙文
1 篇 俄文

检索条件"任意字段=International Conference on Methods and Models in Automation and Robotics"

共 24815 条记录，以下是4961-4970 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：

Network Parameter Control in Cellular Networks through Graph-Based Multi-Agent Constrained Reinforcement Learning

Network Parameter Control in Cellular Networks through Graph...

引用

IEEE international conference on automation Science and Engineering (CASE)

作者： Albin Larsson Forsberg Alexandros Nikou Aneta Vulgarakis Feljan Jana Tumova Ericsson Research Research Area Artificial Intelligence (AI) Stockholm Sweden Department of Electrical Engineering and Computer Science Division of Robotics Perception and Learning KTH Stockholm Sweden

Cellular networks are growing in complexity at increasing speed and the geographical locations in which they are deployed in are getting denser. Traditional control methods fall short in providing a scalable and dynamic way of adapting the network to new conditions. Distributed multiagent reinforcement learning successfully addresses scalability problems seen in centralized approaches. The question of achieving learning with constraint satisfaction in distributed systems is still left unanswered in the state-of-the-art. In this work, we aim to perform distributed multi-agent constrained reinforcement learning in order to learn a policy online while satisfying imposed constraints. We use a coordination graph to model the interactions between agents and decompose the global value function. A conservative safety critic is trained in parallel to evaluate the safety of proposed actions. Our method allows for separate training of both the critic and the value network independently of each other, and hence offers flexibility in how and when to train the different models. The results are compared to a baseline using no safety critic. Simulations show that the agents succeed in learning a policy that can satisfy the constraints, while still maximizing the objective.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exploring Students' Attitudes Towards robotics Technology in STEM Education: A Machine Learning-Based Prediction Analysis

Exploring Students' Attitudes Towards Robotics Technology in...

引用

Emerging Techniques in Computational Intelligence (ICETCI), international conference on

作者： Mahmoud I. Abd El Aziz Ahmed M. Elshewey Zahraa Tarek El-Sayed M. El-kenawy Ahmed M. Ghazy Roheet Bhatnagar Mahmoud Y. Shams Department of Curriculum Instruction and Educational Technology Faculty of Education Kafrelsheikh University Kafrelsheikh Egypt Computer Science Department Faculty of Computers and Information Suez University Suez Egypt Computer Science Department Faculty of Computers and Information Mansoura University Mansoura Egypt Dept. of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt Department of Computer Science and Engineering Manipal University Jaipur Rajasthan India Dept. of Machine Learning Faculty of Artificial Intelligence Kafrelsheiku University Kafrelsheikh University Egypt

ISBN: (数字)9798350387063

ISBN: (纸本)9798350387070

The aim of this paper is to predict the extent to which students will accept robotics technology in future teaching plans. The study involves students engaging in a two-week project-based learning program on robotics technology, after which they will decide whether it is suitable for them. To achieve this, the paper uses several prediction algorithms based on Machine Learning (ML), including Linear Regression (LR), Ridge Regression (RR), Elastic Net (EN) regression, and K-Nearest Neighbor (KNN) models. The sample group consists of 35 students from STEM high schools in Egypt. The research findings indicate that the students have gained confidence and satisfaction in robotics technology and believe it will have significant value in the future. The prediction results obtained from the ML regression models support these findings. The dataset used in the study includes seven input features and one target output representing the total prediction values of accepting and rejecting robotics technology in STEM schools. The regression models LR, RR, EN, and KNN achieve determination coefficients (R2) of 99.99%, 98.80%,99.20%, and 85.60%, respectively.

关键词： Machine learning algorithms Computational modeling Linear regression Education Machine learning Nearest neighbor methods Predictive models Prediction algorithms Robots STEM

来源：评论

学校读者我要写书评

暂无评论

Safe and Robust Simulation-to-Reality Transfer for Mobile Robots

Safe and Robust Simulation-to-Reality Transfer for Mobile Ro...

引用

international conference on Emerging Technologies and Factory automation (ETFA)

作者： Juan Pablo Valdivia Alberto Hata Ahmad Terra

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

Although reinforcement learning (RL) has demonstrated large applicability in the robotics field, the deployment of models trained in simulation on an actual device is still a challenge. This happens due to the differences between simulation and real environments, which is known as simulation to reality (sim-to-real) gap. Approaches to solve this problem typically involve domain randomization (DR) in which simulation parameters are repeatedly varied during the training stage, or transfer learning (TL) in which real data is introduced to the RL model pretrained in simulation. This problem can also be seen through the safe RL perspective in which constraints are incorporated into the policy by aiming at the robustness of the trained agent. Each of these approaches may bridge the sim-to-real gap with limited capability to deal with unforeseen situations when used separately. For increased robustness and adaptability of the RL agent, this paper proposes a novel solution that combines safe RL, DR, and TL throughout the sim-to-real transfer process. This pipeline starts by designing an agent in a safe RL formulation based on Trust Region Conditional Value at Risk (TRC). This agent is then trained on simulation through DR. Finally, the agent is adapted to the real environment by means of a short online training via fine-tuning (i.e. TL). The proposed solution was validated on an actual mobile robot assigned to navigate toward a goal position by avoiding varied obstacles. Results showed that our solution presented superior performance to accomplish tasks in situations not presented before, compared to the separate usage of sim-to-real approaches.

关键词： Training Bridges Navigation Transfer learning Pipelines Reinforcement learning Robustness Data models Mobile robots Manufacturing automation

来源：评论

学校读者我要写书评

暂无评论

Two-Degree-of-Freedom Feedback Loop Factorization Controller for Oscillating Plant with Uncertain Time Delay and Astatism Using Structured Singular Value

Two-Degree-of-Freedom Feedback Loop Factorization Controller...

引用

international conference on Control, automation and Diagnosis (ICCAD)

作者： Marek Dlapa Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlin Zlin Czech Republic

ISBN: (数字)9798350361025

ISBN: (纸本)9798350361032

Application of Robust Control Toolbox for Time Delay Systems implemented in the Matlab system to the oscillating plant with uncertain time delay and astatism using the D-K iteration and algebraic approach. The algebraic approach combines the structured singular value, algebraic theory and algorithm of global optimization solving remaining issues in structured singular value framework. The algorithm for global optimization can be alternated with direct search methods such as Nelder-Mead simplex method giving solutions for problems with one local extreme. As a global optimization method, Differential Migration is used proving to be reliable in solving this type of problems. The D-K iteration represents a standard method in the structured singular value theory. The results obtained from the D-K iteration are compared with the algebraic approach.

关键词： Robust control Feedback loop Delay effects Search methods Optimization methods Reliability theory Mathematical models

来源：评论

学校读者我要写书评

暂无评论

Trajectory Tracking Method for Wheel-Leg Climbing Robot on Complex Facade

Trajectory Tracking Method for Wheel-Leg Climbing Robot on C...

引用

robotics, Intelligent Control and Artificial Intelligence (RICAI), international conference on

作者： Jinpeng Zhao Ministry of Science and Technology Jiangsu Automation Research Institute Jiangsu China

Maintenance operations on large metal facades, such as petrochemical storage tanks and civilian ships, are crucial for ensuring their safe operation. Traditional manual methods are plagued by poor safety, low operational efficiency, and significant resource wastage. Thus, this study investigates the motion mechanics and trajectory tracking control methods for maintenance robot systems on metal facades, resulting in the development of a high-performance and adaptive wheeled-legged magnetic adhesion climbing robot prototype. Utilizing the principles of virtual kinematics and degrees of freedom theory, the study extracts multidimensional constraints and independent coordinate variables to establish a coupled disturbance kinematic model for the robot. To address pose errors caused by uncertainties in body parameters and external disturbances during operations, an adaptive extended observer and sliding mode torque controller are proposed, introducing an adaptive extended observer sliding mode control method for trajectory tracking. Lyapunov theory is employed to demonstrate the stability and convergence of the designed controllers. Through simulation experiments, the effectiveness and superiority of the proposed trajectory tracking control method are substantiated.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on fault diagnosis of wind power gearbox bearings based on transfer learning

Research on fault diagnosis of wind power gearbox bearings b...

引用

2024 international conference on Computer Application and Information Security, ICCAIS 2024

作者： Wang, Xuejun Li, Hongjuan Yang, Hexu Li, Yiming Gong, Yunpeng School of Mechanical Engineering Ningxia Institute of Science and Technology Ningxia Shizuishan753000 China School of Mechanical Engineering and Automation Northeastern University Liaoning Shenyang110000 China

ISBN: (纸本)9781510689312

With the increasing demands for the reliability and stability of wind turbines, predictive fault diagnosis of wind turbines has become increasingly necessary. Among all components, bearings have the highest failure rate in wind turbines, and their operating condition is crucial for the normal operation of wind turbines. Currently, fault classification is mainly conducted through experimental simulation, and fault signal characteristics are extracted from the data collected from the fault test bench using big data technology for fault diagnosis. Traditional vibration signal analysis requires expert experience to extract signal characteristics, which is difficult and complex, and is heavily influenced by human subjective factors. However, deep learning utilizes artificial neural networks to automatically extract features, resulting in a more comprehensive and objective representation of faults. As a major research area in current fault diagnosis, deep learning has been widely applied. Combining different neural network models with various data processing methods can improve the performance of fault diagnosis and continuously enhance its accuracy. As one of the most powerful theories in deep learning, transfer learning applies learning from known tasks to new tasks. It can enhance the performance of deep neural network models by learning from the data characteristics of known tasks, thereby obtaining accurate fault classification results. In this paper, a bearing fault diagnosis method based on transfer learning utilizes the EfficientNet-b0 network and employs a small sample size of actual operating data from wind turbines for fault diagnosis. The results show that this method achieves accurate fault diagnosis, with a classification accuracy of 100% for four types of faults with small sample sizes. © The Authors.

关键词： Sorting

来源：评论

学校读者我要写书评

暂无评论

The System of Coordinated Operation of Two Underwater Vehicles in a Complex Environment

The System of Coordinated Operation of Two Underwater Vehicl...

引用

Ocean Studies (ICOS), international conference on

作者： Vladimir Filaretov Alexey Katsurin Laboratory of Robotic Systems Laboratory of Automation and Robotics Institute of Automation and Control Processes FEB RAS Vladivostok State University Vladivostok Russia Department of Automation and Robotics Laboratory of Intelligent Information Systems for Marine Robots Far Eastern Federal University M.D. Ageev Institute for Marine Technology Problems FEB RAS Vladivostok Russia

The paper discusses methods of coordinated operation of two autonomous underwater vehicles, one of which is equipped with a multi-link manipulator and a vision system, and the second - auxiliary - only a vision system. These methods ensure the joint operation of two autonomous underwater vehicles both in the mode of semi-automatic positional remote control, and in the mode of automatic execution of operations with various objects. At the same time, work is considered in situations when the vision system of the main underwater vehicle does not allow observing the object of work, which is nevertheless located in the working area of the manipulator. In this case, the auxiliary inspection underwater vehicle with its own vision system is used to monitor the object. In the semi-automatic remote control mode, the manipulator automatically takes into account the current spatial orientation of the optical axis of the vision system of the inspection underwater vehicle, as well as the spatial orientations of both underwater vehicles at yaw angles in the absolute coordinate system. And in automatic mode, an accurate transfer of the spatial location and orientation of the object, which are determined using the vision system of the inspection underwater vehicle, is additionally provided to the associated coordinate system of the main underwater vehicle. It is possible to identify and eliminate errors that occur during the operation of the vision system and navigation systems of both underwater vehicles. The results of experimental studies have confirmed the operability of the proposed methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3C Assembly methods and Systems Based on Large Language models

3C Assembly Methods and Systems Based on Large Language Mode...

引用

IEEE international conference on robotics and Biomimetics

作者： Dejun Xin Ligang Jin Donghui Mao Fengming Li Chaoqun Wang Rui Song Yibin Li School of Control Science and Engineering Shandong University Jinan China School of Information and Electrical Engineering Shandong Jianzhu University Jinan China Shandong Research Institute of Industrial Technology Jinan China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Addressing issues such as low efficiency in semi-automated production changes, difficulty in guaranteeing product quality, and heavy reliance on manpower in the current 3C assembly industry, this paper proposes a new intelligent assembly planning method for 3C assembly manipulations. It focuses on decomposing tasks and generating operation sequences using Large Language models (LLMs) and the Planning Domain Definition Language (PDDL). The introduction of a hierarchical clustering-based sample selection and prompt generation algorithm (HCSSPG) enhances the problem-solving capabilities of LLMs, facilitating intelligent assembly operations. Furthermore, the study investigates flexible assembly state monitoring methods for robots, which enable anomaly detection during the assembly process and the intelligent selection and execution of solutions based on these anomalies. A real mobile phone assembly platform has been developed to validate the planning and execution phases of the assembly process, thus providing essential theories and technical support for industrial applications.

关键词： Service robots Large language models Process control Production Switches Product design Planning Quality assessment Problem-solving Assembly

来源：评论

学校读者我要写书评

暂无评论

MPS: A New Method for Selecting the Stable Closed-Loop Equilibrium Attitude-Error Quaternion of a UAV During Flight

MPS: A New Method for Selecting the Stable Closed-Loop Equil...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Francisco M. F. R. Gonçalves Ryan M. Bena Konstantin I. Matveev Néstor O. Pérez-Arancibia School of Mechanical and Materials Engineering Washington State University (WSU) Pullman WA USA Department of Aerospace and Mechanical Engineering University of Southern California (USC) Los Angeles CA USA

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

We present model predictive selection (MPS), a new method for selecting the stable closed-loop (CL) equilibrium attitude-error quaternion (AEQ) of an uncrewed aerial vehicle (UAV) during the execution of high-speed yaw maneuvers. In this approach, we minimize the cost of yawing measured with a performance figure of merit (PFM) that takes into account both the aerodynamic-torque control input and attitude-error state of the UAV. Specifically, this method uses a control law with a term whose sign is dynamically switched in real time to select, between two options, the torque associated with the lesser cost of rotation as predicted by a dynamical model of the UAV derived from first principles. This problem is relevant because the selection of the stable CL equilibrium AEQ significantly impacts the performance of a UAV during high-speed rotational flight, from both the power and control-error perspectives. To test and demonstrate the functionality and performance of the proposed method, we present data collected during one hundred real-time high-speed yaw-tracking flight experiments. These results highlight the superior capabilities of the proposed MPS-based scheme when compared to a benchmark controller commonly used in aerial robotics, as the PFM used to quantify the cost of flight is reduced by 60.30 %, on average. To our best knowledge, these are the first flight-test results that thoroughly demonstrate, evaluate, and compare the performance of a real-time controller capable of selecting the stable CL equilibrium AEQ during operation.

关键词： Costs Torque Quaternions Heuristic algorithms Switches Benchmark testing Predictive models

来源：评论

学校读者我要写书评

暂无评论

Real-Time Instance Segmentation of Pedestrians using Transfer Learning 27

Real-Time Instance Segmentation of Pedestrians using Transfe...

引用

27th international conference on automation and Computing, ICAC 2022

作者： Zagar, Bare Luka Preintner, Tobias Knoll, Alois C. Yurtsever, Ekim Technical University of Munich Robotics Artificial Intelligence and Real-Time Systems Munich Germany The Ohio State University Center for Automotive Research ColumbusOH43212 United States

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

Real-time instance segmentation of pedestrians presents a critical core task within an automated driving pipeline. Recent research focuses on existing real-world datasets to train their instance segmentation networks. However, due to the limited size of real-world datasets, they tend to either overfit or lack accuracy. Therefore, these networks remain useless for real-world applications. Hence, we introduce a transfer learning strategy by combining a large-scale synthetic dataset and a real-world dataset for instance segmentation of pedestrians. We showcase our approach on three state-of-the-art real-time instance segmentation methods: (1) YOLACT++, (2) SipMask, and (3) BlendMask. Finally, we provide a quantitative and qualitative evaluation of our introduced approach on two publicly available urban street scenes datasets, i.e. the real-world Cityscapes dataset and the synthetic Synscapes dataset. © 2022 IEEE.

关键词： Large dataset

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500页 << < 491 492 493 494 495 496 497 498 499 500 > >>

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：