2021 IEEE International Conference on Mechatronics and Automation (ICMA)最新文献_第9页

Mechanism and Design of Tableware Tidying-up Robot for Self-Service Restaurant 自助餐厅餐具整理机器人的机理与设计

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512741

Deheng Zhu, H. Seki, Tokuo Tsuji, Tatsuhiro Hiramitsu

引用次数: 1

Image Matching Algorithm Based on Improved FAST and RANSAC 基于改进FAST和RANSAC的图像匹配算法

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512798

Qiongnan Yang, Chenguang Qiu, L. Wu, Jianjun Chen

引用次数: 3

Vector Control of Active Disturbance Rejection Induction Motor based on Sliding Mode Variable Structure 基于滑模变结构的自抗扰感应电机矢量控制

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512763

X. Zhou, Junqing Pan, Youjie Ma, Diankang Su

引用次数: 0

LIDAR Graph SLAM based Autonomous Vehicle Maps using XY and Yaw Dead-Reckoning Measurements 使用XY和偏航航位推算测量的激光雷达SLAM自动驾驶汽车地图

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512700

Mohammad Aldibaja, Reo Yanase, N. Suganuma, Takahiro Furuya, Akitaka Oko

{"title":"LIDAR Graph SLAM based Autonomous Vehicle Maps using XY and Yaw Dead-Reckoning Measurements","authors":"Mohammad Aldibaja, Reo Yanase, N. Suganuma, Takahiro Furuya, Akitaka Oko","doi":"10.1109/ICMA52036.2021.9512700","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512700","url":null,"abstract":"A robust Graph Slam (GS) framework for generating precise LIDAR maps is still a challenging demand for autonomous vehicle players. This is because of the sparsity of LIDAR 3D point clouds that leads to wrong compensations of relative position errors in x, y and yaw directions. We handle this drawback by proposing a unique GS strategy to process the relative position errors in the image domain. This is achieved by converting the vehicle trajectories into 2D grayscale images using “node strategy” to encode dense environmental representations with proper identifications in Absolute Coordinate System (ACS). Accordingly, Phase Correlation and Fourier Mellin Transform are employed to non-iteratively estimate the relative positions between nodes in the image domain at loop closure areas. These estimations are assigned into a set of edges that constitute the relationships between nodes in the map. Two individual cost functions are designed to utilize these edges in optimizing the nodes' yaw angles and then x, y positions in ACS. The proposed GS framework has been tested in a challenging environment of high buildings, dense trees and longitudinal bridge in Tokyo. The experimental results have verified the robustness to generate precise maps based on Dead Reckoning measurements and outperform GNSS/INS-RTK map in critical road structures.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127277238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on Active Disturbance Rejection Control Technology in LCL Grid-Connected Inverter LCL并网逆变器自抗扰控制技术研究

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512767

X. Zhou, Jie Yin, Youjie Ma

引用次数: 2

Development of a Wrist Sphygmomanometer with an Active Soft Mechanism 带主动软机构手腕血压计的研制

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512680

Nobuaki Yoshimura, Yasutaka Nishioka, T. Yasuda, M. Yamano, Minoru Taniguchi, Chisato Uesaka, Tuyoshi Hamaguchi, Masao Shimizu

引用次数: 0

Performance Evaluation of the Vascular Model Based on the Nonlinear Viscoelastic Tensor-Mass Method 基于非线性粘弹性张量-质量法的维管模型性能评价

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512806

Zhengyang Chen, Shuxiang Guo, Wei Zhou, Fanxu Meng

{"title":"Performance Evaluation of the Vascular Model Based on the Nonlinear Viscoelastic Tensor-Mass Method","authors":"Zhengyang Chen, Shuxiang Guo, Wei Zhou, Fanxu Meng","doi":"10.1109/ICMA52036.2021.9512806","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512806","url":null,"abstract":"The virtual training system of vascular interventional surgery can improve the operation level of novice interventional surgeons and reduce the training cost. The deformation simulation of vascular tissue is the key part of the virtual training system for vascular interventional surgery. This paper presents a vascular tissue model based on nonlinear viscoelastic tensor-mass method (NVTMM), which can realize real-time visual feedback and haptic feedback. The hyperelastic model is used to simulate the nonlinear viscoelastic behavior of blood vessels. Meanwhile, the Euler's implicit integration scheme is used to make the simulation results more stable. In addition, a haptic force feedback device is introduced for the interaction between the vascular model and the virtual medical instrument, which improves the authenticity of the simulation. Finally, the real-time performance and accuracy of NVTMM, MSM and FEM are compared through experiments. The results show that NVTMM method has high real-time performance and can reflect the nonlinear viscoelastic behavior of blood vessels to a certain extent.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131634198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Autonomous Behavior Switching Method for Indoor Mobile Service Robots 一种室内移动服务机器人自主行为切换方法

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512685

Yiran Tian, Xingrun An, Xiaoqin Qiu, Xichen Xu, Sen Zhang

引用次数: 0

Garbot - Semantic Segmentation for Material Recycling and 3D Reconstruction Utilizing Robotics 基于机器人的材料回收和三维重建的Garbot语义分割

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512716

Siva Ariram, T. Pennanen, Antti Tikanmäki, J. Röning

引用次数: 0

Research on Recognition of Pointer Meter Based on Improved East Algorithm 基于改进East算法的指针仪表识别研究

2021 IEEE International Conference on Mechatronics and Automation (ICMA) Pub Date : 2021-08-08 DOI: 10.1109/ICMA52036.2021.9512802

Lei Shao, Yuxiang Chen, Xiaoning Xu, W. Sun, Hongli Liu

{"title":"Research on Recognition of Pointer Meter Based on Improved East Algorithm","authors":"Lei Shao, Yuxiang Chen, Xiaoning Xu, W. Sun, Hongli Liu","doi":"10.1109/ICMA52036.2021.9512802","DOIUrl":"https://doi.org/10.1109/ICMA52036.2021.9512802","url":null,"abstract":"In order to solve the problems of low recognition accuracy and large memory occupied in the algorithm of pointer meter identification in substation, this paper proposes an improved algorithm of pointer meter automatic identification based on EAST algorithm, Tiny East. Firstly, the algorithm uses the lightweight neural network MOGA to replace the backbone network of East algorithm, thus reducing the memory occupied by the algorithm; Then, the feature pyramid is added to backbone network to strengthen the feature extraction. Besides, we use NMS local sensing algorithm to screen the reading box to get the scale number and position of the instrument. Thus, positioning the pointer line and the center of the instrument; Finally, the identification of the instrument is completed by combining the identified digital and pointer angles. Experimental results show that compared with the unimproved EAST algorithm, the number of parameters of the proposed TINY-EAST algorithm is greatly reduced, and the average recognition accuracy is higher than 98.5%. Moreover, the proposed TINY-EAST algorithm has good accuracy and stability in the complex background of pointer instrument and can meet the application requirements of practical substation.","PeriodicalId":339025,"journal":{"name":"2021 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128290906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3