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

2,875 篇 会议
135 册 图书
88 篇 期刊文献
1 篇 科技报告

馆藏范围

3,099 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,342 篇 工学
- 862 篇 控制科学与工程
- 765 篇 计算机科学与技术...
- 518 篇 软件工程
- 188 篇 电气工程
- 171 篇 机械工程
- 121 篇 信息与通信工程
- 96 篇 电子科学与技术（可...
- 88 篇 仪器科学与技术
- 70 篇 光学工程
- 67 篇 生物工程
- 66 篇 建筑学
- 66 篇 土木工程
- 65 篇 生物医学工程（可授...
- 53 篇 力学（可授工学、理...
- 50 篇 航空宇航科学与技...
- 46 篇 交通运输工程
- 40 篇 化学工程与技术
- 36 篇 安全科学与工程
- 34 篇 动力工程及工程热...
457 篇 理学
- 277 篇 数学
- 127 篇 物理学
- 77 篇 统计学（可授理学、...
- 76 篇 生物学
- 54 篇 系统科学
- 44 篇 化学
245 篇 管理学
- 212 篇 管理科学与工程(可...
- 73 篇 工商管理
- 45 篇 图书情报与档案管...
40 篇 医学
- 35 篇 临床医学
- 32 篇 基础医学(可授医学...
25 篇 经济学
23 篇 法学
8 篇 教育学
8 篇 农学
8 篇 军事学
1 篇 艺术学

主题

494 篇 computational mo...
302 篇 artificial intel...
299 篇 robotics and aut...
250 篇 computational in...
225 篇 robot sensing sy...
210 篇 mobile robots
196 篇 intelligent robo...
180 篇 automation
178 篇 control systems
161 篇 humans
158 篇 robots
134 篇 orbital robotics
121 篇 robot kinematics
117 篇 navigation
116 篇 robotics
108 篇 service robots
103 篇 neural networks
103 篇 mathematical mod...
97 篇 automatic contro...
89 篇 robustness

机构

26 篇 school of automa...
25 篇 department of au...
23 篇 school of automa...
21 篇 computer and aut...
19 篇 college of intel...
19 篇 department of au...
17 篇 dept. of automat...
14 篇 hubei key labora...
14 篇 unmanned system ...
14 篇 institute of aut...
14 篇 nanjing universi...
14 篇 doctoral school ...
11 篇 state key labora...
10 篇 óbuda university...
10 篇 school of mechat...
10 篇 department of au...
10 篇 school of artifi...
9 篇 antal bejczy cen...
9 篇 dep. of electric...
9 篇 university of ch...

作者

29 篇 radu-emil precup
20 篇 stefan preitl
18 篇 ioan filip
17 篇 józsef k. tar
15 篇 hirota kaoru
14 篇 tamás haidegger
14 篇 yifeng niu
14 篇 dai yaping
14 篇 wenxing fu
14 篇 yi qu
13 篇 octavian prostea...
12 篇 iosif szeidert
12 篇 precup radu-emil
11 篇 preitl stefan
11 篇 k. ito
10 篇 korondi péter
10 篇 derong liu
10 篇 xingming fan
10 篇 xin zhang
9 篇 wu min

语言

3,063 篇 英文
44 篇 中文
22 篇 其他

检索条件"任意字段=International Symposium on Computational Intelligence in Robotics and Automation"

共 3099 条记录，以下是411-420 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：

Out-of-Distribution Robustness with Deep Recursive Filters

Out-of-Distribution Robustness with Deep Recursive Filters

引用

IEEE international Conference on robotics and automation (ICRA)

作者： Katyal, Kapil D. Wang, I-Jeng Hager, Gregory D. Johns Hopkins Univ Appl Phys Lab Laurel MD 20723 USA Johns Hopkins Univ Dept Comp Sci Baltimore MD 21218 USA

ISBN: (纸本)9781728190778

Accurate state and uncertainty estimation is imperative for mobile robots and self driving vehicles to achieve safe navigation in pedestrian rich environments. A critical component of state and uncertainty estimation for robot navigation is to perform robustly under out-of-distribution noise. Traditional methods of state estimation decouple perception and state estimation making it difficult to operate on noisy, high dimensional data. Here, we describe an approach that combines the expressiveness of deep neural networks with principled approaches to uncertainty estimation found in recursive filters. We particularly focus on techniques that provide better robustness to out-of-distribution noise and demonstrate applicability of our approach on two scenarios: a simple noisy pendulum state estimation problem and real world pedestrian localization using the nuScenes dataset [1]. We show that our approach improves state and uncertainty estimation compared to baselines while achieving approximately 3x improvement in computational efficiency.

关键词： Location awareness Deep learning Uncertainty Navigation Conferences Robustness computational efficiency

来源：评论

学校读者我要写书评

暂无评论

RASCAL: Robotic Arm for Sherds and Ceramics Automated Locomotion

RASCAL: Robotic Arm for Sherds and Ceramics Automated Locomo...

引用

IEEE international Conference on robotics and automation (ICRA)

作者： Wang, Deborah Lutz, Brandon Cobb, Peter J. Dames, Philip Temple Univ Dept Mech Engn Philadelphia PA 19122 USA Univ Hong Kong Fac Educ & Arts Hong Kong Peoples R China

ISBN: (纸本)9781728190778

Ceramics are one of the major sources of information about the past for archaeologists, with a typical archaeological dig unearthing 1000's of pottery fragments (sherds) each day. However, archaeologists often are not allowed to remove these sherds from their home countries. Therefore, logging data (e.g., mass, color, decoration) in the field is the only way to record valuable information about these sherds. Currently, this laborious process is done manually, using up much of the valuable time at a dig site. This project aims to automate the data collection process, freeing up archaeologists to spend their limited time in the field on other tasks, and to create a large-scale digital database of sherd information, allowing archaeologists to take advantage of new computational tools to make discoveries. The contribution of this paper is an automated system, consisting of several reconfigurable data collection stations and a robotic arm to transport objects between stations, that can rapidly generate a large database of archaeological artifacts. We validate our system in simulation, using high-resolution models of sherds. In other contexts, our system may help to expand the use of automation in materials handling, parts sorting, and more.

关键词： automation Three-dimensional displays Databases computational modeling Data collection Tools Manipulators

来源：评论

学校读者我要写书评

暂无评论

Testing and Integration of Commercial Hydrogen Sensor for Ambient Monitoring Application

Testing and Integration of Commercial Hydrogen Sensor for Am...

引用

international symposium on Applied computational intelligence and Informatics ( SACI)

作者： Mohammed Faeik Ruzaij Al-Okby Thomas Roddelkopf Hartmut Ewald Kerstin Thurow Technical Institute of Babylon Al-Furat Al-Awsat Technical University (ATU) Kufa Iraq Center for Life Science Automation (celisca) University of Rostock Rostock Germany Institute of Automation University of Rostock Rostock Germany Institute of General Electrical Engineering University of Rostock Rostock Germany

Hydrogen is one of the most promising and clean energy sources, which is being used in various fields. It has a high explosive potential in the concentration range between 4 to 74.2 vol%. Thus, a suitable monitoring for the early detection of leakages is necessary to prevent serious accidents. Hydrogen is odorless, colorless, and undetectable by the senses of smell and sight. The monitoring of the gas concentrations in the indoor air is therefore of particular importance. In this paper, the testing and integration of a thermal conductivity-based hydrogen sensor is presented. The sensor was tested with hydrogen gas leakages in a chemical laboratory using specific chemical reactions. Furthermore, the sensor was integrated with an ambient monitoring sensor node that is used for the detecting of leakages of hazardous gases in chemical laboratories and industrial locations. The evaluation of the sensor performance revealed that it could be used efficiently for detecting the leakages of hydrogen gas and it is very flexible to be adapted to any system with an I2C communication bus.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Averaging Ensemble Method for Multiclass Brain Tumor Classification Using Transfer Learning

An Averaging Ensemble Method for Multiclass Brain Tumor Clas...

引用

robotics, automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international Conference on

作者： Shahajalal Hossain Shahin Sk. Shariful Alam Shah Muhammad Azmat Ullah Dept. of Electronics & Communication Engineering Khulna University of Engineering & Technology Khulna Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

A brain tumor is a disease that is caused by the abnormal growth of cells inside the brain or central spinal canal. It originates from the brain or, may spread to the brain from the other parts of the human body. While the exact causes of brain tumors remain unknown, environmental exposure and mutations in genes are the primary factors that significantly influence their progression. It is very difficult to diagnose whether the tumor is cancerous or not by analyzing the MRI images with bare eyes. For this, we need to use computer-aided diagnoses (CAD) to make the treatment easier. We have proposed an ensemble model that consists of the prediction of two deep learning models- Xception & InceptionV3 with accuracy of 97.89% and 91.56% respectively. We have used the data augmentation technique here. The proposed model gives an accuracy of 98.82%. We have also used the DenseNet121 for comparison purposes but among them, the proposed model performs better and gives high accuracy for the dataset contains about 7023 human brain MRI images which are categorized into 4 classes: glioma, meningioma, no-tumor & pituitary. The model averaging ensemble method results demonstrate that utilizing it can successfully categorize the samples that are incorrectly classified by the individual models.

关键词： Solid modeling Accuracy Magnetic resonance imaging computational modeling Transfer learning Brain tumors Medical services Predictive models Brain modeling Ensemble learning

来源：评论

学校读者我要写书评

暂无评论

Video Self-Supervised Cross-Pathway Training Based on Slow and Fast Pathways

Video Self-Supervised Cross-Pathway Training Based on Slow a...

引用

2023 IEEE international Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Li, Jie Yang, Jing Jiang, Zhou Chen, Yuehai Du, Shaoyi School of Automation Science and Engineering Xi'an Jiaotong University Xi'an China School of Software Engineering Xi'an Jiaotong University Xi'an China Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9798350337020

In the field of video self-supervised learning, contrastive instance learning methods suffer from a lack of semantic information, resulting in inadequate generalization in downstream tasks. Although optical flow can provide some semantic information, it requires significant computational cost prior to training. To address this, we propose a Video self-supervised Cross-pathway training model based on Slow and Fast pathways (VCSF). This model separately extracts temporal and spatial features from pure RGB video frames, and uses the complementary representations of the two pathways to conduct cross-pathway training. Additionally, we propose a motion perception module in the low-frame-rate space to enhance the network's ability to perceive rapidly changing human motion. We conducted extensive experiments in downstream missions of UCF101 and HMDB51, and obtained state-of-the-art results in models using the UCF101 data set for self-supervised pre-training, including motion recognition and nearest neighbor retrieval. © 2023 IEEE.

关键词： Cross-pathway training Self-supervised learning Slow and Fast pathways

来源：评论

学校读者我要写书评

暂无评论

Modeling Affect-based Intrinsic Rewards for Exploration and Learning

Modeling Affect-based Intrinsic Rewards for Exploration and ...

引用

IEEE international Conference on robotics and automation (ICRA)

作者： Zadok, Dean McDuff, Daniel Kapoor, Ashish Technion Comp Sci Dept Haifa Israel Microsoft Res Redmond WA 98052 USA

ISBN: (纸本)9781728190778

Positive affect has been linked to increased interest, curiosity and satisfaction in human learning. In reinforcement learning, extrinsic rewards are often sparse and difficult to define, intrinsically motivated learning can help address these challenges. We argue that positive affect is an important intrinsic reward that effectively helps drive exploration that is useful in gathering experiences. We present a novel approach leveraging a task-independent reward function trained on spontaneous smile behavior that reflects the intrinsic reward of positive affect. To evaluate our approach we trained several downstream computer vision tasks on data collected with our policy and several baseline methods. We show that the policy based on our affective rewards successfully increases the duration of episodes, the area explored and reduces collisions. The impact is the increased speed of learning for several downstream computer vision tasks.

关键词： Computer vision automation Conferences computational modeling Reinforcement learning Task analysis

来源：评论

学校读者我要写书评

暂无评论

Practical and Accurate Generation of Energy-Optimal Trajectories for a Planar Quadrotor

Practical and Accurate Generation of Energy-Optimal Trajecto...

引用

IEEE international Conference on robotics and automation (ICRA)

作者： Morbidi, Fabio Pisarski, Dominik Univ Picardie Jules Verne MIS Lab Amiens France Polish Acad Sci IPPT PAN Inst Fundamental Technol Res Warsaw Poland

ISBN: (纸本)9781728190778

Motivated by the limited flight time of battery-powered multi-rotor UAVs, in this paper we address the problem of generating energy-optimal trajectories for a planar quadrotor. More specifically, by considering an accurate electrical model for the brushless DC motors and rest-to-rest maneuvers between two predefined boundary states, we explicitly compute the minimum-energy curves by adopting a free and a fixed end-time optimal control formulation. The numerical solution of these optimal control problems hinges upon a simple yet effective indirect projected gradient method. Simulation experiments illustrate the theory in a variety of realistic flight scenarios.

关键词： Gradient methods automation Brushless DC motors computational modeling Conferences Optimal control Fasteners

来源：评论

学校读者我要写书评

暂无评论

Model-Based Shape Estimation and Closed-Loop Control of Magnetic Continuum Robot Based on Monocular Vision

Model-Based Shape Estimation and Closed-Loop Control of Magn...

引用

IEEE international Conference on robotics and Biomimetics

作者： Junfeng Zhu Yuanrui Huang Jian Chen Hongbin Liu State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences (CASIA) Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Centre of AI and Robotics Hong Kong Institute of Science Innovation Chinese Academy of Sciences School of Biomedical Engineering and Imaging Sciences King's College London UK

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Magnetic continuum robots (MCRs) show promising potential for applications in narrow lumens, such as vascular interventions. Accurate shape sensing of these robots is crucial for the success of interventional surgeries. However, the submillimeter dimensions of MCRs poses significant challenges for integrating additional sensors. An alternative approach is shape estimation from images, yet the lack of precise MCR kinematics can make this process time-consuming. In this work, we propose a novel MCR design featuring a rectangular tip capable of specific planar bending, along with a corresponding kinematic model and a mechanical model. Additionally, we introduce a model-based shape estimation method that enables the estimation of the MCR's shape from a single-view image without the need for external markers. Experimental results demonstrate that our method can estimate an MCR's shape with a mean absolute error (MAE) of $\mathbf{0.58}\pm \mathbf{0.41}\mathbf{mm}$ within 85ms, facilitating real-time application. Furthermore, closed-loop control based on this method has achieved an end position error below 11% of the tip's total length, highlighting the accuracy and practicality of our approach for surgical interventions.

关键词： Solid modeling Shape computational modeling Magnetic resonance imaging Estimation Kinematics Robot sensing systems Real-time systems Continuum robots Magnetosphere

来源：评论

学校读者我要写书评

暂无评论

Bipedal Robot Gait Control Strategies Based on Reinforcement Learning

Bipedal Robot Gait Control Strategies Based on Reinforcement...

引用

robotics & Intelligent Manufacturing Technology (ISRIMT), international symposium on

作者： Zhengquan Mao Jing Li Nanyan Shen Jiawen Ding Bin Zhou Chong Li School of Mechatronic Engineering and Automation Shanghai University Shanghai China Fourier Intelligence Shanghai China

ISBN: (数字)9798331528942

ISBN: (纸本)9798331528959

This paper presents a reinforcement learning-based gait control strategy for bipedal robots. The work focuses on enabling the robot to adapt to complex terrains without relying on visual information. By leveraging the neural network's fitting capability in a simulated environment, the robot estimates privileged information from limited proprioceptive data. The approach is based on reinforcement learning fundamentals and includes a teacher-student policy architecture. We design a series of reward functions to achieve velocity tracking, periodic gait phases, accurate foot traj ectories, and smooth locomotion. Domain randomization is employed to bridge the gap between simulation and reality. Experiments using Proximal Policy Optimization show promising results, and the future work aims to deploy the policy on a real humanoid robot and explore full-body walking strategies.

关键词： Legged locomotion Visualization Accuracy Fitting Humanoid robots Propioception Reinforcement learning Manufacturing Optimization Foot

来源：评论

学校读者我要写书评

暂无评论

A Passive Navigation Planning Algorithm for Collision-free Control of Mobile Robots

A Passive Navigation Planning Algorithm for Collision-free C...

引用

IEEE international Conference on robotics and automation (ICRA)

作者： Tiseo, Carlo Ivan, Vladimir Merkt, Wolfgang Havoutis, Ioannis Mistry, Michael Vijayakumar, Sethu Univ Edinburgh Sch Informat Inst Percept Act & Behav Edinburgh Ctr Robot Edinburgh Midlothian Scotland Univ Oxford Oxford Robot Inst Oxford England

ISBN: (纸本)9781728190778

Path planning and collision avoidance are challenging in complex and highly variable environments due to the limited horizon of events. In literature, there are multiple model- and learning-based approaches that require signilicant computational resources to be effectively deployed and they may have limited generality. We propose a planning algorithm based on a globally stable passive controller that can plan smooth trajectories using limited computational resources in challenging environmental conditions. The architecture combines the recently proposed fractal impedance controller with elastic bands and regions of finite time invariance. As the method is based on an impedance controller, it can also be used directly as a force/torque controller. We validated our method in simulation to analyse the ability of interactive navigation in challenging concave domains via the issuing of via-points, and its robustness to low bandwidth feedback. A swarm simulation using 11 agents validated the scalability of the proposed method. We have performed hardware experiments on a holonomic wheeled platform validating smoothness and robustness of interaction with dynamic agents (i.e., humans and robots). The computational complexity of the proposed local planner enables deployment with low-power micro-controllers lowering the energy consumption compared to other methods that rely upon numeric optimisation.

关键词： Navigation computational modeling Scalability Robustness Planning Trajectory Mobile robots

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310页 << < 38 39 40 41 42 43 44 45 46 47 > >>

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：