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

9,751 篇 会议
1,110 册 图书
947 篇 期刊文献

馆藏范围

11,808 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,715 篇 工学
- 863 篇 电气工程
- 841 篇 控制科学与工程
- 325 篇 计算机科学与技术...
- 316 篇 机械工程
- 305 篇 仪器科学与技术
- 92 篇 软件工程
- 79 篇 电子科学与技术（可...
- 61 篇 信息与通信工程
- 16 篇 材料科学与工程（可...
- 15 篇 生物医学工程（可授...
- 11 篇 土木工程
- 11 篇 水利工程
- 11 篇 船舶与海洋工程
- 11 篇 航空宇航科学与技...
- 4 篇 核科学与技术
- 3 篇 交通运输工程
- 3 篇 环境科学与工程（可...
- 2 篇 力学（可授工学、理...
109 篇 管理学
- 104 篇 管理科学与工程(可...
- 3 篇 工商管理
86 篇 理学
- 46 篇 系统科学
- 23 篇 数学
- 15 篇 物理学
- 2 篇 科学技术史(分学科...
19 篇 医学
- 9 篇 临床医学
- 8 篇 基础医学(可授医学...
5 篇 教育学
- 5 篇 教育学
5 篇 艺术学
- 5 篇 设计学（可授艺术学...
4 篇 文学
- 4 篇 新闻传播学
3 篇 法学
- 3 篇 社会学
2 篇 军事学
1 篇 经济学
1 篇 农学

主题

11,808 篇 robotics and aut...
2,700 篇 robot sensing sy...
2,344 篇 automatic contro...
2,185 篇 mobile robots
1,783 篇 control systems
1,596 篇 robot kinematics
1,544 篇 service robots
1,521 篇 humans
1,474 篇 orbital robotics
1,380 篇 intelligent robo...
1,291 篇 robot control
1,192 篇 robot vision sys...
957 篇 robots
820 篇 manipulators
784 篇 robotic assembly
737 篇 navigation
730 篇 cameras
593 篇 motion planning
577 篇 legged locomotio...
577 篇 usa councils

机构

68 篇 the robotics ins...
60 篇 robotics institu...
41 篇 robotics laborat...
35 篇 graduate school ...
30 篇 school of electr...
30 篇 jet propulsion l...
28 篇 grasp laboratory...
27 篇 automation and r...
26 篇 robotics and aut...
24 篇 state key labora...
20 篇 center for robot...
20 篇 department of au...
20 篇 laas cnrs toulou...
20 篇 department of me...
19 篇 department of au...
19 篇 shenyang institu...
18 篇 sandia national ...
18 篇 state key labora...
18 篇 school of electr...
17 篇 robotics laborat...

作者

63 篇 yuechao wang
60 篇 f.l. lewis
58 篇 shugen ma
50 篇 t. fukuda
40 篇 yangsheng xu
28 篇 ning xi
26 篇 k. ikeuchi
24 篇 yun-hui liu
21 篇 gerd hirzinger
21 篇 g. hirzinger
20 篇 a.a. goldenberg
18 篇 jianwei zhang
18 篇 f. arai
18 篇 wolfram burgard
18 篇 t. arai
17 篇 t. shibata
17 篇 lining sun
17 篇 jianda han
17 篇 a.c. sanderson
16 篇 k. inoue

语言

11,448 篇 英文
350 篇 其他
10 篇 中文

检索条件"主题词=Robotics and automation"

共 11808 条记录，以下是71-80 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：

Coordinated Landing Control for Cross-Domain UAV-USV Fleets Using Heterogeneous-Feature Matching

Coordinated Landing Control for Cross-Domain UAV-USV Fleets ...

引用

IEEE International Conference on robotics and automation (ICRA)

作者： Jianing Ding Hai-Tao Zhang Bin-Bin Hu School of Artificial Intelligence and Automation MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems the Guangdong Engineering Technology Research Center of Fully Autonomous Unmanned Surface Vehicles State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Coordinated landing control for multiple unmanned aerial vehicles (UAVs) on appropriate multiple unmanned surface vehicles (USVs) is an urgent yet challenging mission with the tremendous development of modern marine industry. To this end, we propose a coordinated multiple UAV-USV landing control algorithm via heterogeneous-feature matching. Specifically, the heterogeneous landing features of different UAVs and USVs are extracted to establish a dynamic UAV-USV cooperative landing ability mapping for the cross-domain UAV-USV fleets (CDUUFs). Then, by incorporating suitable allocation with UAV-USV landing convergence and collision avoidance among UAVs into constraints with the assistance of both control Lyapunov functions (CLFs) and control barrier functions (CBFs), the multiple UAV-USV landing control problem is formulated as a constraint-based optimization one. Therein, slack variables are introduced to fulfill the assignment and facilitate the searching of a balanced solution between control performance and landing safety. Finally, extensive simulations are conducted to substantiate the effectiveness of the present multiple UAV-USV landing control law.

关键词： Feature extraction Numerical simulation Safety Resource management Collision avoidance Vehicle dynamics robotics and automation

来源：评论

学校读者我要写书评

暂无评论

Leveraging Deep Learning With Multi-Head Attention for Accurate Extraction of Medicine From Handwritten Prescriptions

Leveraging Deep Learning With Multi-Head Attention for Accur...

引用

International Conference on robotics and Artificial Intelligence (ICRAI)

作者： Usman Ali Sahil Ranmbail Muhammad Nadeem Hamid Ishfaq Muhammad Umer Ramzan Waqas Ali Dept. of Computer Science GIFT University Gujranwala Pakistan Dept. of Electrical Engineering (RCET) University of Engg. & Tech. Lahore Lahore Pakistan

ISBN: (数字)9798350355703

ISBN: (纸本)9798350355710

Extracting medication names from handwritten doctor prescriptions is challenging due to the wide variability in handwriting styles and prescription formats. This paper presents a robust method for extracting medicine names using a combination of Mask R-CNN and Transformer-based Optical Character Recognition (TrOCR) with Multi-Head Attention and Positional Embeddings. A novel dataset, featuring diverse handwritten prescriptions from various regions of Pakistan, was utilized to fine-tune the model on different handwriting styles. The Mask R-CNN model segments the prescription images to focus on the medicinal sections, while the TrOCR model, enhanced by Multi-Head Attention and Positional Embeddings, transcribes the isolated text. The transcribed text is then matched against a pre-existing database for accurate identification. The proposed approach achieved a character error rate (CER) of 1.4% on standard benchmarks, highlighting its potential as a reliable and efficient tool for automating medicine name extraction.

关键词： Accuracy Text recognition Optical character recognition Medical services Benchmark testing Transformers Reliability robotics and automation Standards Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios

UniGen: Unified Modeling of Initial Agent States and Traject...

引用

IEEE International Conference on robotics and automation (ICRA)

作者： Reza Mahjourian Rongbing Mu Valerii Likhosherstov Paul Mougin Xiukun Huang Joao Messias Shimon Whiteson Waymo

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

This paper introduces UniGen, a novel approach to generating new traffic scenarios for evaluating and improving autonomous driving software through simulation. Our approach models all driving scenario elements in a unified model: the position of new agents, their initial state, and their future motion trajectories. By predicting the distributions of all these variables from a shared global scenario embedding, we ensure that the final generated scenario is fully conditioned on all available context in the existing scene. Our unified modeling approach, combined with autoregressive agent injection, conditions the placement and motion trajectory of every new agent on all existing agents and their trajectories, leading to realistic scenarios with low collision rates. Our experimental results show that UniGen outperforms prior state of the art on the Waymo Open Motion Dataset.

关键词： Measurement Roads Layout Software Trajectory Scenario generation robotics and automation

来源：评论

学校读者我要写书评

暂无评论

Nondestructive Detection of Internal Quality of Hami Melon by Hyperspectral Technology Combined with Chemometrics

Nondestructive Detection of Internal Quality of Hami Melon b...

引用

Advanced Information, Mechanical Engineering, robotics and automation (AIMERA), IEEE International Conference on

作者： Fengxia Li Quan Yang Xiaochen Wang Wenjun Gao Yong Huang Junchi Yin Institute of Engineering Technology University of Science and Technology Beijing Beijing China School of Mechanical and Electrical Engineering Xinjiang Institute of Engineering Urumqi China

ISBN: (数字)9798350343335

ISBN: (纸本)9798350343342

In this research, the combination of hyperspectral technology and chemometrics was applied for non-destructive testing of the internal quality of Hami melon. Sugar content and firmness serve as crucial indicators in assessing the internal quality of this fruit. Various pretreatment methods were employed for feature extraction, and subsequently, partial least squares (PLS) prediction models were established for sugar content and firmness. The outcomes reveal that the optimal results for the PLS sugar content prediction model were achieved when utilizing the original spectrum treated with multivariate scattering correction (MSC), resulting in a correlation coefficient of 0.663 and a prediction root-mean-square error of 0.909. Similarly, the PLS firmness prediction model exhibited the best performance when based on the first derivative spectrum treated with the standard normal variable transformation (SNV), yielding a correlation coefficient of 0.674 and a prediction root-mean-square error of 6.388 N. This investigation demonstrates the feasibility of employing hyperspectral technology in combination with chemometrics for simultaneous detection of the internal quality of Hami melon. The findings of this study suggest promising prospects for the future market application of the research method. The integration of hyperspectral technology and chemometrics offers a reliable and efficient approach for non-destructive evaluation of Hami melon quality, paving the way for its potential implementation in the fruit industry to ensure enhanced product quality control and consumer satisfaction.

关键词： Correlation coefficient Accuracy Statistical analysis Scattering Predictive models Sugar industry Reliability robotics and automation Standards Testing

来源：评论

学校读者我要写书评

暂无评论

Flow Shadowing: A Method to Detect Multiple Flow Headings using an Array of Densely Packed Whisker-inspired Sensors

Flow Shadowing: A Method to Detect Multiple Flow Headings us...

引用

IEEE International Conference on robotics and automation (ICRA)

作者： Teresa A. Kent Sarah Bergbreiter Robotics Institute Carnegie Mellon University Pittsburgh PA USA Mechanical Engineering Carnegie Mellon University Pittsburgh PA USA

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Understanding airflow around a drone is critical for performing advanced maneuvers while maintaining flight stability. Recent research has worked to understand this flow by employing 2D and 3D flow sensors to measure flow from a single source like wind or the drone’s relative motion. Our current work advances flow detection by introducing a strategy to distinguish between two flow sources applied simultaneously from different directions. By densely packing an array of flow sensors (or whiskers), we alter the path of airflow as it moves through the array. We have named this technique “flow shadowing” because we take advantage of the fact that a downstream whisker shadowed (or occluded) by an upstream whisker receives less incident flow. We show that this relationship is predictable for two whiskers based on the percent of occlusion. We then show that a 2x2 spatial array of whiskers responds asymmetrically when multiple flow sources from different headings are applied to the array. This asymmetry is direction-dependent, allowing us to predict the headings of flow from two different sources, like wind and a drone’s relative motion.

关键词： Three-dimensional displays Sensor phenomena and characterization Prediction algorithms Stability analysis Motion measurement Wind forecasting robotics and automation

来源：评论

学校读者我要写书评

暂无评论

Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency

Self-Supervised Learning of Monocular Visual Odometry and De...

引用

IEEE International Conference on robotics and automation (ICRA)

作者： Changhao Wang Guanwen Zhang Wei Zhou Visual Intelligent Processing Laboratory School of Electronics and Information Northwestern Polytechnical University Xi’an Shannxi P.R. China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

The inherent scale ambiguity issue greatly limits the performance of monocular visual odometry. In recent years, a variety of methods have been proposed for self-supervised learning of ego-motion and depth estimation, incorporating specifically designed scale-consistency constraints that utilize estimated depth as a reference. However, these existing methods neglect the influence of the depth uncertainty introduced by the dominant photometric loss, which leads to unreliable depth estimation in difficult regions and detrimentally affects scale alignment. To solve these problems, we introduces a feature-based visual odometry learning system with an effective scale recovery strategy in this paper. Additionally, we propose a learning method to estimate the photometric-sensitive depth uncertainty for guiding the scale recovery. The proposed method is evaluated on KITTI odometry, and the experimental results demonstrate that our system can predict scale-consistent trajectories from monocular videos and achieves state-of-the-art performance. Moreover, the proposed method achieves competitive performance on KITTI depth estimation.

关键词： Uncertainty Estimation Self-supervised learning Trajectory Odometry robotics and automation Optimization

来源：评论

学校读者我要写书评

暂无评论

A Neural-Evolutionary Algorithm for Autonomous Transit Network Design

A Neural-Evolutionary Algorithm for Autonomous Transit Netwo...

引用

IEEE International Conference on robotics and automation (ICRA)

作者： Andrew Holliday Gregory Dudek School of Computer Science McGill University

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Planning a public transit network is a challenging optimization problem, but essential in order to realize the benefits of autonomous buses. We propose a novel algorithm for planning networks of routes for autonomous buses. We first train a graph neural net model as a policy for constructing route networks, and then use the policy as one of several mutation operators in a evolutionary algorithm. We evaluate this algorithm on a standard set of benchmarks for transit network design, and find that it outperforms the learned policy alone by up to 20% and a plain evolutionary algorithm approach by up to 53% on realistic benchmark instances.

关键词： Evolutionary computation Benchmark testing Graph neural networks Planning robotics and automation Standards Optimization

来源：评论

学校读者我要写书评

暂无评论

Path Planning Algorithm for Heavy-duty AGV Based on A* Algorithm Fused with DWA

Path Planning Algorithm for Heavy-duty AGV Based on A* Algor...

引用

IEEE International Conference on Mechatronics, robotics and automation (ICMRA)

作者： Sanbao Zhu Wenxia Xu Lei Zhai Baocheng Yu Hanyan He Zhiqiang Tang Wuhan Institute of Technology Wuhan China State Key Laboratory of Bridge Intelligent and Green Construction Wuhan China

ISBN: (数字)9798350352474

ISBN: (纸本)9798350352481

In a complex working environment, it is particularly important to automatically plan a safe and real-time path when heavy-duty AGV are used for automated transportation. The traditional A* algorithm has shortcomings in terms of low search efficiency, many redundant points and obstacle avoidance. Meanwhile, the traditional dynamic window method (DWA) is prone to falling into a local optimal solution. Therefore, this paper proposes a fusion algorithm. First, the A* algorithm is improved by using a two-way search, introducing dynamic weights in the heuristic function, and deleting redundant points. Then the dynamic obstacle avoidance strategy is introduced in the evaluation function of the DWA algorithm, and the improved A* algorithm is fused with the improved DWA algorithm. Finally, the superiority of the improved fusion algorithm is verified through simulation experiment comparison and real experiment.

关键词： Mechatronics Heuristic algorithms Transportation Path planning Real-time systems Collision avoidance robotics and automation

来源：评论

学校读者我要写书评

暂无评论

FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object

FuncGrasp: Learning Object-Centric Neural Grasp Functions fr...

引用

IEEE International Conference on robotics and automation (ICRA)

作者： Hanzhi Chen Binbin Xu Stefan Leutenegger Smart Robotics Lab School of CIT Technical University of Munich Munich Institute of Robotics and Machine Intelligence (MIRMI) University of Toronto Robotics Institute University of Toronto

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

We present FuncGrasp, a framework that can infer dense yet reliable grasp configurations for unseen objects using one annotated object and single-view RGB-D observation via categorical priors. Unlike previous works that only transfer a set of grasp poses, FuncGrasp aims to transfer infinite configurations parameterized by an object-centric continuous grasp function across varying instances. To ease the transfer process, we propose Neural Surface Grasping Fields (NSGF), an effective neural representation defined on the surface to densely encode grasp configurations. Further, we exploit function-to-function transfer using sphere primitives to establish semantically meaningful categorical correspondences, which are learned in an unsupervised fashion without any expert knowledge. We showcase the effectiveness through extensive experiments in both simulators and the real world. Remarkably, our framework significantly outperforms several strong baseline methods in terms of density and reliability for generated grasps.

关键词： Training Degradation Filtering Semantics Grasping Reliability engineering robotics and automation

来源：评论

学校读者我要写书评

暂无评论

Omnidirectional Dense SLAM for Back-to-back Fisheye Cameras

Omnidirectional Dense SLAM for Back-to-back Fisheye Cameras

引用

IEEE International Conference on robotics and automation (ICRA)

作者： Weijian Xie Guanyi Chu Quanhao Qian Yihao Yu Shangjin Zhai Danpeng Chen Nan Wang Hujun Bao Guofeng Zhangv State Key Lab of CAD&CG Zhejiang University SenseTime Research Tetras.AI

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

We propose a real-time visual-inertial dense SLAM system that utilizes the online data streams from back-to-back dual fisheye cameras setup, providing 360 ◦ coverage of the environment. Firstly, we employ a sliding-window-based front-end to estimate real-time poses from the binocular fisheye images and IMU data. Then, we implement a lightweight panoramic depth completion network based on multi-basis depth representation. The network takes panoramic images (obtained by stitching dual-fisheye images with extrinsics and intrinsic parameters) and sparse depths (generated by the front-end local tracking) as input and predicts multiple depth bases along with corresponding confidence as output. The final dense depth is the linear combination of the multiple depth bases. Thanks to the multi-basis depth representation, we can continuously optimize the 360° depth with the traditional optimizer to achieve higher global consistency in depth. We conducted experiments on both simulated and real-world datasets to evaluate our method. The results demonstrate that the proposed method outperforms SoTA methods in terms of depth prediction and 3D reconstruction. In addition, we develop a demo that can run on a mobile to demonstrate the real-time capabilities of our method.

关键词： Simultaneous localization and mapping Three-dimensional displays Cameras Real-time systems robotics and automation Streams

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 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：