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

106 篇 会议
40 篇 期刊文献

馆藏范围

146 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

80 篇 工学
- 45 篇 控制科学与工程
- 38 篇 机械工程
- 31 篇 计算机科学与技术...
- 30 篇 软件工程
- 20 篇 力学（可授工学、理...
- 18 篇 生物工程
- 12 篇 仪器科学与技术
- 11 篇 电气工程
- 10 篇 生物医学工程（可授...
- 8 篇 动力工程及工程热...
- 6 篇 材料科学与工程（可...
- 6 篇 化学工程与技术
- 5 篇 光学工程
- 5 篇 电子科学与技术（可...
- 5 篇 信息与通信工程
- 5 篇 交通运输工程
- 4 篇 冶金工程
- 4 篇 土木工程
57 篇 理学
- 31 篇 物理学
- 24 篇 数学
- 20 篇 生物学
- 6 篇 化学
- 5 篇 统计学（可授理学、...
- 2 篇 系统科学
8 篇 管理学
- 5 篇 管理科学与工程(可...
- 3 篇 图书情报与档案管...
5 篇 医学
- 5 篇 基础医学(可授医学...
- 4 篇 临床医学
3 篇 法学
- 3 篇 社会学
2 篇 农学
1 篇 经济学
1 篇 文学

主题

17 篇 parallel robots
15 篇 kinematics
8 篇 grippers
8 篇 training
7 篇 reinforcement le...
7 篇 robot sensing sy...
7 篇 robot kinematics
6 篇 manipulators
6 篇 mechatronics
6 篇 accuracy
6 篇 mathematical mod...
6 篇 service robots
5 篇 legged locomotio...
5 篇 deep learning
5 篇 three-dimensiona...
5 篇 force
5 篇 actuators
4 篇 object detection
4 篇 grasping
4 篇 robots

机构

29 篇 human and robot ...
18 篇 school of mechan...
16 篇 school of mechan...
12 篇 human and robot ...
10 篇 university of te...
8 篇 school of electr...
7 篇 school of electr...
6 篇 human and robot ...
5 篇 school of mechan...
5 篇 university of te...
4 篇 university of te...
4 篇 human-computer c...
4 篇 school of mechan...
4 篇 hebei key labora...
3 篇 intelligent reha...
3 篇 key laboratory o...
3 篇 university of te...
3 篇 control and inte...
3 篇 school of electr...
3 篇 university of te...

作者

54 篇 mehdi tale masou...
36 篇 masouleh mehdi t...
21 篇 ahmad kalhor
20 篇 kalhor ahmad
11 篇 guo shijie
9 篇 mohammad reza ha...
7 篇 meng chuizhou
6 篇 zhang jianjun
6 篇 shijie guo
5 篇 wei jun
5 篇 navid asadi khom...
5 篇 yu wei
5 篇 yang li
4 篇 khomami navid as...
4 篇 jianjun zhang
4 篇 li shanshan
4 篇 peng wang
4 篇 li guoxian
4 篇 hasan jalali
3 篇 yazdi mohammad r...

语言

135 篇 英文
8 篇 中文
3 篇 其他

检索条件"机构=School of Mechanical Engineering Human and Robot Interaction Laboratory"

共 146 条记录，以下是31-40 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：

Autonomous robotic Assembly and Sequence Planning Based on YOLOv8

Autonomous Robotic Assembly and Sequence Planning Based on Y...

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Zeynab Ezzati Babi Navid Asadi Khomami Mehdi Tale Masouleh Ahmad Kalhor Human and Robot Interaction Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran Human and Robot Interaction Laboratory School of Mechanical Engineering Tehran Iran

This study contributes to autonomous assembly by introducing a robotic building system designed to observe its workspace, plan building sequences, determine appropriate grasps and manipulator motions, and operate hardware in real-time. This study involves the creation of a wooden brick dataset and employs a YOLOv8 deep learning model for object segmentation in two implemented real-time algorithms, namely, Desired Construction Object Detection (DCOD) and robot Current Frame Object Detection (RCFOD). The DCOD algorithm is designed for the desired structure, while the RCFOD algorithm is utilized for detecting objects within the operational environment of the robot. By comparing the outputs of these two algorithms, sequences of objects for assembly are formulated, and the appropriate grasp positions are determined. Subsequently, the robot’s motion planning for both grasping and construction tasks is executed. Due to the limitations of using a single RGB gripper-mounted camera, various issues, such as failing to recognize items with the same cross-section but varying heights, have been addressed in this study. The results of this study indicate the effective learning of the YOLOv8 model, as shown by a loss value below 0.2 and an accuracy over 90% for 17 out of the total 18 classes. Practical implementation is done by a common industrial Delta parallel robot, a 2-finger gripper, and a simple RGB camera. Overview of practical implementation system is shown in Fig. 1. The proposed robotic assembly method demonstrates its effectiveness in autonomously constructing structures utilizing a reduced and cost-efficient configuration.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Synergy of Deep Learning and Artificial Potential Field Methods for robot Path Planning in the Presence of Static and Dynamic Obstacles 30

Synergy of Deep Learning and Artificial Potential Field Meth...

引用

30th International Conference on Electrical engineering, ICEE 2022

作者： Basiri, Mohammad Amin Chehelgami, Shirin Ashtari, Erfan Masouleh, Mehdi Tale Kalhor, Ahmad University of Tehran Human and Robot Interaction Laboratory School of Electrical and Computer Engineering Tehran Iran

ISBN: (纸本)9781665480871

In a fast-changing world we are in today, unmanned vehicles are displacing old, obsolete and frustrating tasks. Since unmanned vehicles are intended to work in an environment without any conduction, finding a collision-free path of movement is of paramount importance and a definite asset in practice. The objective of a global path planner consists in generating an optimized path without considering unknown obstacles. In contrast, a local path planner properly avoids the unknown obstacles while getting close to the goal. This results in an inefficient movement, particularly in complex circumstances. In this paper, a complete global and local path planning method is proposed for avoiding both static and dynamic obstacles. The proposed method benefits the advantages of both approaches while covering each other's weaknesses. First, a method for generating numerous obstacle-free paths from random pairs of start and goal points is introduced. Next, a novel deep-learning approach is proposed in order to train the robot in an environment free of moving obstacles. After extracting the desired via points, an efficient Artificial Potential Field (APF) approach for attaining the local path planning is introduced with the aim of avoiding dynamic obstacles while the robot travels through the aforementioned via points. The proposed method can be well extended to different platforms such as mobile robots, arm robots, quadrotors, etc;in this paper, both local and global path planning methods are implemented on a simulated quadrotor to examine the robot's performance for both approaches. Furthermore, it has been revealed that implementing both approaches should be implemented seamlessly in order to attain a complete efficient path planning with the presence of both static and dynamic obstacles. Finally, both local and global path planning methods are implemented on a detailed simulated quadrotor to evaluate the robot's performance for the aforementioned approaches. © 2022 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

User Identification Based on Hand Geometrical Biometrics Using Media-Pipe 30

User Identification Based on Hand Geometrical Biometrics Usi...

引用

30th International Conference on Electrical engineering, ICEE 2022

作者： Ghanbari, Sara Ashtyani, Zahra Parvin Masouleh, Mehdi Tale University of Tehran School of Electrical and Computer Engineering Human and Robot Interaction Laboratory Tehran Iran

ISBN: (纸本)9781665480871

The main objective of a hand-geometry-based user identification model consists in designing a method that could be implemented with a satisfactory trade-off between cost, accuracy, and ease of utilizing. In this paper, an efficient, peg-free hand geometry-based approach for user identification is presented, which can be easily implemented with low-cost pieces of equipment and results up to a 98.7% accuracy in user identification. Three different feature-based methods, namely, circular representation, FPL, and FPLKW, are designed and examined. In order to extract required landmarks to the end of generating intended features, the so-called Media-Pipe is used. The first method is the circular representation, in which the radius ratio of the circles formed by the three middle finger straps is taken as model features. The second method extracts fingers length and phalanges length of each finger and uses their ratio as features, which is called Finger Phalanges Length (FPL) method. The third method extracts Fingers Length and Phalanges Length of each finger and Knuckles Width, abbreviated as (FPLKW), and uses their ratios for extracting features. Two datasets are collected, one for examining the efficiency of the proposed methods and finding the promising one, and the second one for validating the performance of the selected method. The first dataset contains images of the back-side of both hands in spread fingers mode and picked altogether fingers mode, taken from 21 individuals on a black background. The second dataset contains images of 100 individual hands in the front-side of both hands and the back-side of both hands in spread fingers mode. Different classifications are used to obtain maximum accuracy, including SVM SVC, SVM NuSVC, the decision tree classifier, the extra tree classifier, the random forest classifier, and one hidden layer MLP. Obtained results reveal that the extra tree classifier leads to better performance with respect to the methods mentioned abov

关键词： Biometrics

来源：评论

学校读者我要写书评

暂无评论

SIVD: Dataset of Iranian Vehicles for Real-Time Multi-Camera Video Tracking and Recognition 8

SIVD: Dataset of Iranian Vehicles for Real-Time Multi-Camera...

引用

8th International Iranian Conference on Signal Processing and Intelligent Systems, ICSPIS 2022

作者： Siahkali, Farbod Alavi, Seyed Amirmahdi Masouleh, Mehdi Tale University of Tehran Human and Robot Interaction Laboratory School of Electrical and Computer Engineering Tehran Iran Islamic Azad University Human and Robot Interaction Laboratory School of Computer Science Central Tehran Branch Tehran Iran

ISBN: (纸本)9781665476232

In this paper, a new publicly available 1 web-Scraped Iranian Vehicle Dataset (SIVD) for simultaneous real-time vehicle tracking and recognition is proposed. The datasets provided for Iranian cars in the literature have two fundamental problems. First, the lack of images from different angles, and second, the small number of classes compared to the dispersion of car models in the real world. Therefore, for the purposes of this paper, Iranian vehicle images from car sales websites are collected, and the SIVD dataset is proposed which contains 29 classes and 36,705 images. This paper aims at developing a classification network for Iranian vehicle recognition and implement a real-time tracking system using the YOLOv5 network to perform real-time vehicle model recognition and tracking tasks simultaneously. The ResNet50 achieved an accuracy of 99.29%, the highest among the investigated classification networks.1https://***/Farbod-Siahkali/Iranian-Vehicle-Tracking-and-Recognition © 2022 IEEE.

关键词： Model automobiles

来源：评论

学校读者我要写书评

暂无评论

Mapping human Grasping to 3-Finger Grippers: A Deep Learning Perspective

Mapping Human Grasping to 3-Finger Grippers: A Deep Learning...

引用

Iranian Conference on Electrical engineering (ICEE)

作者： Fatemeh Naeinian Elnaz Balazadeh Mehdi Tale Masouleh Human and Robot Interaction Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran Human and Robot Interaction Laboratory University of Tehran Tehran Iran

ISBN: (数字)9798350376340

ISBN: (纸本)9798350376357

Grasping is a fundamental aspect of human interaction with the environment, and replicating this ability in robotic systems is challenging due to the complexity of hand-object interactions. This paper explores the mapping of human grasping behavior to a 3-finger robotic gripper using a deep learning approach. The study focuses on the development of a model that predicts grasping points based on RGB images of objects and finger coordinates during the approaching state. The research contributes a novel dataset of human-like grasping with 3 fingers, capturing various object orientations and scenarios. Finger coordinates are extracted in both the approaching and grasping states by using Mediapipe. The proposed model employs a pretrained Faster R-CNN for object detection, coupled with fully connected networks for regression of grasping points. Evaluation metrics include Intersection over Union (IoU), grasp angle, and a proposed metric, Grasp Configurational Accuracy (GCA). The trained network achieves compelling results, demonstrating 88.2% GCA, 96.5% in grasp angle, and a 45.7% IoU in grasp rectangle representation. Results indicate the efficacy of the approach, offering a promising avenue for advancing robotic grasping capabilities.

关键词： Measurement Deep learning Three-dimensional displays robot kinematics Pipelines Grasping Predictive models

来源：评论

学校读者我要写书评

暂无评论

Design and Fabrication of an Optimized Six-Axis Force-Torque Sensor

Design and Fabrication of an Optimized Six-Axis Force-Torque...

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Amirhossein Ehsani Navid Asadi Khomami Meysam Ghaneie Mehdi Tale Masouleh Human and robot interaction laboratory School of Mechanical Engineering University of Tehran Tehran Iran

Force-torque sensors hold significant applications across various industries, including industrial automation, robotics, aerospace, medicine, and laboratory settings. In this paper the purpose is to optimize, simulate, and fabricate a six-axis force-torque sensor capable of measuring forces and torques along x, y and z axes. This endeavor faces challenges, including the meticulous installation of strain gauges, the design of an optimal structure and the creation of a sensor which is not excessively complex to fabricate. Careful attention is devoted to precise installation of strain gauges due to their sensitivity and crucial role in accurate measurement. Furthermore, the sensor structure is strategically designed to be optimal yet not intricate to fabricate, balancing between accuracy, optimality and feasibility of fabrication. Utilizing a genetic optimization algorithm with multi-objective functions instead of single-objective functions, this paper aims to determine the optimal dimensions. The application of multi-objective functions allows for more nuanced and flexible optimization process, catering to the complex requirements of the sensor design. Subsequently, the final design is simulated using ANSYS software to create a finite element model, providing a detailed analysis of the sensor’s behavior under various conditions. This approach ensures a comprehensive understanding of the sensor’s characteristics and limitations. A comprehensive analysis of the results is carried out, with the primary objective of minimizing manufacturing costs while ensuring that performance characteristics, such as an accuracy level of lOmN for force axes and 3.5mNm for torques, are demonstrated by the sensor. In order to sense strains, 16 Double strain gauges are employed. Sensor circuits are configured using six Wheatstone bridges, and calibration procedure is operated using a setup constructed in human and robot interaction laboratory.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Experimental Study on Chess Board Setup Using Delta Parallel robot Based on Deep Learning

Experimental Study on Chess Board Setup Using Delta Parallel...

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Parsa Yarmohammadi Navid Asadi Khomami Mehdi Tale Masouleh Mohammad Reza Zakerzadeh Human and Robot Interaction Laboratory School of Mechanical Engineering University of Tehran Tehran Iran Human and Robot Interaction Laboratory School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Mechanical Engineering University of Tehran Tehran Iran

In recent years, robotics and object detection applications have seen remarkable improvements in executing routine tasks. In the near future, it is expected that most of the tasks can be performed by means of these two foregoing tools. This paper presents a system that combines these two approaches in order to automate the setup of a chessboard using a Delta parallel robot equipped with a two-finger gripper designed for grasping small objects. This system utilizes the so-called YOLO model for object detection in order to detect the chess pieces. The system begins by taking a picture of a scene, where the chess pieces are placed randomly around a board. The location of the chessboard is predefined and YOLO is used to detect and locate chess pieces in the given picture. The final object detection model used to execute this task is YOLOv5m, although this model encountered some challenges in detecting four types of chess pieces from a top view, these challenges were addressed by increasing the instances of those objects in the dataset. Upon extracting the location of each piece, the coordinates are sent to the robot, and the Delta parallel robot arranges the initial setup of a chess game. The model achieved an overall mAP of 0.99, indicating excellent precision and the grasp success rate in the process of grasping the chess pieces was 95%. This study demonstrates the potential of automating everyday tasks by exploring the intersection of robotics and artificial intelligence and can be well extended to tasks, namely, sorting medications and pills in hospitals, sorting different wastes like plastic and papers for recycling, identifying and removing spoiled fruits in agricultural industries, etc.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Workspace Calculation of the 2(6-UPS) Hybrid Manipulator

Workspace Calculation of the 2(6-UPS) Hybrid Manipulator

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Mohammad Mahdi Gheybi Hediye Moghimi Parsa Namazian Payam Varshovi-Jaghargh Mehdi Tale Masouleh Human and Robot Interaction Laboratory School of Mechanical Engineering University of Tehran Tehran Iran Department of Mechanical Engineering Hamedan University of Technology Hamedan Iran

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

This paper presents an algorithm for computing the workspace of the hybrid serial-parallel manipulator. In this method, the inverse kinematics problem and interval analysis are applied to determine the constant-orientation workspace of the 6-UPS parallel manipulator. Then, the workspace of the 2(6-UPS) hybrid manipulator is calculated by combining this approach with the discretization method. The results show that the development of this method provides fast and accurate results for calculating the workspace of the hybrid serial-parallel manipulator.

关键词： Accuracy Mechatronics Kinematics Manipulators Uninterruptible power systems

来源：评论

学校读者我要写书评

暂无评论

SPAR-Leg: Serial-Parallel Anthropomorphic robotic Leg

SPAR-Leg: Serial-Parallel Anthropomorphic Robotic Leg

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Parsa Namazian Mehdi Tale Masouleh Mohammad Reza Zakerzadeh Human and Robot Interaction Laboratory School of Mechanical Engineering University of Tehran Tehran Iran Human and Robot Interaction Laboratory School of Eletrical & Computer Engineenng University of Tehran Tehran Iran School of Mechanical Engineering University of Tehran Tehran Iran

This paper aims at a preliminary research on designing a hybrid mechanism inspired by human leg’s musculoskeletal architecture and locomotion capabilities. Complexity of the workspace solution in serial-parallel mechanisms limits the design approach. In order to have an estimation from the human leg geometry and reachable workspace, a dataset is collected from the human leg of 10 females and 10 males. In addition to the measurements done on the dimensions of this population, the reachable workspace of their leg is observed using MediaPipe pose estimation model. This is done by capturing full movement of the human leg for each person in front of two cameras. On the other hand, the musculoskeletal system of the human leg reveals that two serially attached parallel mechanisms are well-suited for the design. The upper mechanism, which is the thigh mechanism, includes 6 UPS links as the actuators, and a US constraint link to avoid elongation in the leg. Similarly, 3 UPS and a S constraint link form the lower mechanism. Two mathematical models based on geometric approaches are derived for the mechanisms. In order to reach a workspace fitted to that of human leg, an optimization process is performed on the mechanism. Due to the complexity of the whole model’s workspace, the optimization process is done on the upper mechanism to reach its maximum workspace. Based on the ratios between thigh and calf dimensions, the lower mechanism’s design parameters are obtained, and its workspace is verified to be optimal. Afterwards, a simple geometric calculation of the whole mechanism is done and compared with the results of workspace observation using MediaPipe. A brief simulation is done on the upper mechanism in two different movements in order to select suitable actuators based on the required forces. Finally, forward kinematics problem of the mechanism is solved and validated by performing simulations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

robotic Sorting of mechanical and Electrical Parts: An Autonomous Vision-Based Approach in a Practical Case Study

Robotic Sorting of Mechanical and Electrical Parts: An Auton...

引用

International Conference on Control, Instrumentation, and Automation

作者： Mohammad Yousefi Mahdi Dalvand Navid Asadi Khomami Mehdi Tale Masouleh Mohammad Reza Haeri Yazdi Human and Robot Interaction Lab. School of Mechanical Engineering University of Tehran Tehran Iran Human and Robot Interaction Lab. School of Electrical and Computer Engineering University of Tehran Tehran Iran School of Mechanical Engineering University of Tehran Tehran Iran

ISBN: (数字)9798331509972

ISBN: (纸本)9798331509989

In today’s industrial landscape, automation has become increasingly vital, particularly in the deployment of robots for tasks such as sorting machine components. The use of robotic systems enhances process accuracy and speed, resulting in significant cost reductions and improved productivity compared to manual labor. This paper aims to design and develop an automated sorting system for various types of mechanical and electrical parts, utilizing image processing and machine vision algorithms with a Delta parallel robot equipped with a two-finger gripper. The target mechanical and electrical parts in this study are screws, nuts, metal washers, rubber washers, retaining rings, rectangular keys, wall plugs, resistors, potentiometers, capacitors, batteries, ICs, and LEDs. The YOLOv3 algorithm and Adaptive Thresholding method are employed to detect and distinguish objects from the background, and size measurement is achieved with the help of a custom marker with known dimensions. In this study, transfer learning based on pre-trained weights of YOLOv3 for the COCO dataset is applied. The proposed system attains a final mean Average Precision (mAP@0.5) value exceeding 0.95 for part detection using YOLOv3. Additionally, it demonstrates an overall pick-and-place success rate exceeding $\mathbf{9 0 \%}$.

关键词： YOLO Parallel robots Automation Thresholding (Imaging) Service robots robot kinematics Transfer learning Size measurement Grippers Sorting

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15页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：