检索结果-内蒙古大学图书馆

2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021

作者： Zhou, J. Wang, K. Li, S. Hu, J. Yang, J. Huan, Z. Ma, W. Yang, H. Zhang, S. Li, X. Sun, L. Soochow University Robotics and Microsystems Center School of Mechanical and Electric Engineering Jiangsu Province Suzhou City China University of Science and Technology of China Department of Precision Machinery and Precision Instrumentation Anhui province Hefei230026 China Xiamen University of Technology School of Electrical Engineering and Automation Fujian province Xiamen China

ISBN: (纸本)9781665436786

Magnetic liquid metal (MLM) is a mixture of ferromagnetic powder and liquid metal. It not only displays the unique properties of liquid metal such as high conductivity, good fluidity, high surface tension and nontoxicity compared with mercury, but also can respond to magnetic fields in a rapid speed. It can be controlled accurately by electric and magnetic field, so it has a wide application prospect in solution environment. In this paper, we report a liquid metal universal micro-gripper (LMUMG), which can grasp and release small objects under the integration of magnetic and electric field. Compared with previous studies, this new LMUMG can quickly respond to electric and magnetic field, achieve the clamping of microstructure in a few seconds, and can automatically adapt to the shape of any clamped object to wrap objects, including flat organization, soft and deformable structure. The micro-gripper above is likely to be applied in many fields. © 2021 IEEE.

关键词： Liquid metals

来源：评论

学校读者我要写书评

暂无评论

Stiffness-Tunable and all-soft electrical smart material made by magnetic liquid metal and sponge

Stiffness-Tunable and all-soft electrical smart material mad...

引用

2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021

作者： Wang, K. Zhou, J. Li, S. Hu, J. Yang, J. Liu, M. Huan, Z. Ma, W. Yang, H. Zhang, S. Li, X. Sun, L. Soochow University Robotics and Microsystems Center School of Mechanical and Electric Engineering Jiangsu Province Suzhou City China University of Science and Technology of China Department of Precision Machinery and Precision Instrumentation Anhui province Hefei230026 China Xiamen University of Technology School of Electrical Engineering and Automation Fujian province Xiamen China

ISBN: (纸本)9781665436786

Multifunctional soft martials with good conductivity, flexibilities and stiffness tunable capabilities are key to developing soft robots. In this paper, we developed an innovative stiffness-tunable soft conducting elastomer by encapsulating liquid metal filled porous sponge with ecoflex. The elastomer exhibits good flexibility and conductivity in large scale of stretching, bending and twisting. Meanwhile, elastomer can enhance its stiffness by up to 8 times under external magnetic field. These characteristics of the elastomer provide great potential for future soft robots and actuators design. © 2021 IEEE.

关键词： Elastomers

来源：评论

学校读者我要写书评

暂无评论

Design and Experiment of High Speed and Mobility Platform for All Terrain 2

Design and Experiment of High Speed and Mobility Platform fo...

引用

2021 2nd International Conference on Machine Learning and Computer Application, ICMLCA 2021

作者： Li, Gang Li, Jiaping Wang, Yujuan Bao, Renren Wang, Yu Jiang, Lisong Li, Hui Ji, Hongming SIASUN Robot & Automation CO. Ltd. Liaoning Shenyang China Fortune Precision Equipment Co. Ltd. Liaoning Shenyang China Shenzhen UB TECH robotics Co. Ltd. Guangdong Shenzhen China

ISBN: (纸本)9783800757398

In order to meet the needs of map building, unmanned driving and other advanced technologies, this paper establishes the theoretical mechanical model of high speed and wheeled mobility platform for all terrain under the conditions of flat ground, up and down slope, obstacle crossing, etc., completes the mechanical analysis of the mobile platform, and obtains the theoretical mechanical conditions for the mobile platform to realize the three kinds of motion of flat, up and down slope and obstacle crossing. According to the current requirements of the high speed mobility platform for all terrain, this paper determines the performance parameters of the high speed mobility platform for all terrain, completes the structural design of the gear train, the integrated chassis and the mobility platform as a whole, and carries out finite element simulation analysis on the key parts with large force and torque. Kinematic analysis is also carried out. According to the performance requirements of the platform, the hardware design and electrical system construction are completed. In order to verify the correctness of the theoretical research, this paper made an experimental prototype, and carried out relevant experiments. The experimental results show that the high speed mobility platform for all terrain designed in this paper can achieve high speed operation, has a large load capacity, can complete movements of flat, up and down slope, obstacle crossing, and has strong adaptability for different road conditions. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Structural design

来源：评论

学校读者我要写书评

暂无评论

Refinement of Boundary Regression Using Uncertainty in Temporal Action Localization 31

Refinement of Boundary Regression Using Uncertainty in Tempo...

引用

31st British Machine Vision Conference, BMVC 2020

作者： Chen, Yunze Chen, Mengjuan Wu, Rui Zhu, Jiagang Zhu, Zheng Gu, Qingyi Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Horizon Robotics Beijing China

Boundary localization is a key component of most temporal action localization frameworks for untrimmed video. Deep-learning methods have brought remarkable progress in this field due to large-scale annotated datasets (e.g., THUMOS14 and ActivityNet). However, natural ambiguity exists for labeling an accurate action boundaries with such datasets. In this paper, we propose a method to model this uncertainty. Specifically, we construct a Gaussian model for predicting the uncertainty variance of the boundary. The captured variance is further used to select more reliable proposals and to refine proposal boundaries by variance voting during post-processing. For most existing one- and two-stage frameworks, more accurate boundaries and reliable proposals can be obtained without additional computation. For the one-stage decoupled single-shot temporal action detection (Decouple-SSAD) [11] framework, we first apply the adaptive pyramid feature fusion method to fuse its features of different scales and optimize its structure. Then, we introduce the uncertainty based method and improve state-of-the-art mAP@0.5 value from 37.9% to 41.6% on THUMOS14. Moreover, for the two-stage proposalproposal interaction through a graph convolutional network (P-GCN) [33], with such uncertainty method, we also gain significant improvements on both THUMOS14 and ActivityNet v1.3 datasets. Code and more details will be available at https://***/shadowclouds/Uty. © 2020. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.

关键词： Large dataset

来源：评论

学校读者我要写书评

暂无评论

A Novel Triboelectric-Optical Hybrid Tactile Sensor for Human-Machine Tactile Interaction

SSRN

引用

SSRN 2023年

作者： Yang, Hui Bu, Tianzhao Liu, Wenbo Liu, Jiaqi Ling, Yunzhi Wu, Meixia Liu, Weirui Wang, Changan Gao, Xifeng Wang, Lihui Dynamic Image Perception Lab Institute of Semiconductors Guangdong Academy of Sciences Guangdong510075 China Biomechanics and Soft Robotics Lab School of Mechanical Engineering and Automation Beihang University Beijing100083 China School of Mechanical Science and Engineering Huazhong University of Science & Technology Wuhan430074 China School of Mechanical Engineering and Automation Liaoning Petrochemical University Fushun113001 China School of Electronics & Communication Guangdong Mechanical and Electrical Polytechnic Guangzhou510515 China Center of Ultra-Precision Optoelectronic Instrumentation Engineering Harbin Institute of Technology Harbin150001 China Key Lab of Ultra-Precision Intelligent Instrumentation Ministry of Industry Information Technology Harbin150080 China

Tactile interaction is one of the primary modes of human-machine interaction, which requires artificial devices to possess tactile sensing abilities. In recent years, to enrich the tactile information perceived by artificial devices, tactile sensors based on hybrid sensing mechanisms have attracted extensive attention. However, for wearable or flexible artificial devices, the development of tactile sensors with a simple structure and preparation process, low cost and power consumption, and good maintainability and integration remains a tough challenge. Herein, we presented a triboelectric-optical hybrid tactile sensor (TOHTS) with a separable modular structure, comprising two units: a triboelectric unit designed based on the single-electrode triboelectric nanogenerator to receive external tactile stimuli, and a photoelectric unit with a liquid-membrane liquid lens structure and a function of translating the tactile stimuli into a photoelectric signal. Both units exhibit a simple structure, and their parts can be easily cannibalized and replaced. The triboelectric unit can control the on-off behavior of the light source embedded in the photoelectric unit to minimize power consumption and improve tactile response speed, according to its output signal. The photoelectric unit possesses superior electromagnetic interference immunity, making the TOHTS accurately and quantitatively perceive contact force. The sensing performance test results validate the TOHTS’s advantages of a short response time (about 9 ms), strong linearity (R2≈0.9952) in sensing contact force, and excellent durability and stability. Due to the above features, the TOHTS exhibits outstanding practicability in tactile interactive tasks, which is proved by some interactive input experiments, and it will have extensive application prospects for human-machine interactive devices. © 2023, The Authors. All rights reserved.

关键词： Nanogenerators

来源：评论

学校读者我要写书评

暂无评论

MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image Segmentation

arXiv

引用

arXiv 2024年

作者： Tang, Fenghe Nian, Bingkun Li, Yingtai Jiang, Zihang Yang, Jie Liu, Wei Zhou, S. Kevin School of Biomedical Engineering Division of Life Sciences and Medicine University of Science and Technology of China Anhui Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Jiangsu Suzhou215123 China Suzhou Institute for Advanced Research USTC Suzhou China Department of Automation Shanghai Jiao Tong University China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Institute of Medical Robotics Shanghai Jiao Tong University China State Key Laboratory of Precision and Intelligent Chemistry University of Science and Technology of China Anhui Hefei230026 China

Recently, the state space model Mamba has demonstrated efficient long-sequence modeling capabilities, particularly for addressing long-sequence visual tasks in 3D medical imaging. However, existing generative self-supervised learning methods have not yet fully unleashed Mamba’s potential for handling long-range dependencies because they overlook the inherent causal properties of state space sequences in masked modeling. To address this challenge, we propose a general-purpose pre-training framework called MambaMIM, a masked image modeling method based on a novel TOKen-Interpolation strategy (TOKI) for the selective structure state space sequence, which learns causal relationships of state space within the masked sequence. Further, MambaMIM introduces a bottom-up 3D hybrid masking strategy to maintain a masking consistency across different architectures and can be used on any single or hybrid Mamba architecture to enhance its multi-scale and long-range representation capability. We pre-train MambaMIM on a large-scale dataset of 6.8K CT scans and evaluate its performance across eight public medical segmentation benchmarks. Extensive downstream experiments reveal the feasibility and advancement of using Mamba for medical image pre-training. In particular, when we apply the MambaMIM to a customized architecture that hybridizes MedNeXt and Vision Mamba, we consistently obtain the state-of-the-art segmentation performance. The code is available at: https://***/FengheTan9/MambaMIM. Copyright © 2024, The Authors. All rights reserved.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Online Non-Contact Weighing Duck Carcasses Using 2d Images and Deep Learning

SSRN

引用

SSRN 2022年

作者： Zhao, Yuliang Tian, Kaixuan Chen, Ruoyu Yang, Yongliang School of Control Engineering Northeastern University Hebei Qinhuangdao066001 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China School of Cyber Security University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China

In the poultry meat processing industry, non-contact weighing methods based on computer vision have become increasingly popular due to their low costs and high efficiency. However, the accuracy of the traditional 2D image weighing techniques is reduced by the overlap and sway of carcasses. In this paper, we propose a more accurate regression model, Vggx, to weigh duck carcasses through image processing and deep learning. We adopt an image segmentation technique to obtain 2D images of a single duck section under a complex background. The images of the same duck are fused together to estimate its 3D information. Then, we use a convolutional neural network regression model to estimate the weight of duck carcass with the acquired 3D information. The Mean Absolute Percentage Error of our model is 1.46% and the average weight error of our model is 23.1 gram. Experimental results demonstrate that our method is high performance. © 2022, The Authors. All rights reserved.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Correction to: With or without human interference for precise age estimation based on machine learning?

引用

International journal of legal medicine 2025年 2025 Mar 22页

作者： Mengqi Han Shaoyi Du Yuyan Ge Dong Zhang Yuting Chi Hong Long Jing Yang Yang Yang Jingmin Xin Teng Chen Nanning Zheng Yu-Cheng Guo Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of Stomatology Xi'an Jiaotong University 98 XiWu Road Xi'an 710004 Shaanxi People's Republic of China. Department of Orthodontics College of Stomatology Xi'an Jiaotong University 98 XiWu Road Xi'an 710004 Shaanxi People's Republic of China. Institute of Artificial Intelligence and Robotics College of Artificial Intelligence Xi'an Jiaotong University 28 Xianning West Road Xi'an 710049 Shaanxi People's Republic of China. dushaoyi@***. Institute of Artificial Intelligence and Robotics College of Artificial Intelligence Xi'an Jiaotong University 28 Xianning West Road Xi'an 710049 Shaanxi People's Republic of China. College of Automation Science and Engineering Xi'an Jiaotong University 28 Xianning West Road Xi'an 710049 Shaanxi People's Republic of China. College of Medicine and Forensics Xi'an Jiaotong University Health Science Center 76 West Yanta Road Xi'an 710004 Shaanxi People's Republic of China. Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of Stomatology Xi'an Jiaotong University 98 XiWu Road Xi'an 710004 Shaanxi People's Republic of China. xjtu-guoyucheng@***. Department of Orthodontics College of Stomatology Xi'an Jiaotong University 98 XiWu Road Xi'an 710004 Shaanxi People's Republic of China. xjtu-guoyucheng@***. Institute of Artificial Intelligence and Robotics College of Artificial Intelligence Xi'an Jiaotong University 28 Xianning West Road Xi'an 710049 Shaanxi People's Republic of China. xjtu-guoyucheng@***.

来源：评论

学校读者我要写书评

暂无评论

Large deflection ofa compliant beam with non-uniform stiffness distribution using a PRB-3R model

Large deflection ofa compliant beam with non-uniform stiffne...

引用

2019 IEEE International Conference on Real-Time Computing and robotics, RCAR 2019

作者： Jin, Hu Fang, Tao Chen, Haoyao Yildirim, Tanju Li, Weihua Zhang, Shiwu Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China 96 Jinzhai Rd. Hefei230026 China School of Mechanical Engineering and Automation in Harbin Institute of Technology Shenzhen State Key Laboratory of Robotics and System China Department of Materials and Mechatronic Engineering University of Wollongong WollongongNSW2522 Australia

ISBN: (纸本)9781728137261

Soft arms of service robots for safe manipulation, or soft legs of mobile robots for efficient locomotion have been intensively developed. The deflection of complaint beams for the soft arms or soft legs is a key criterion for design and control of robotic motions. Pseud-rigid-body (PRB) model are commonly used to predict deflection of the compliant beams with a uniform stiffness. However, soft robotic arms and legs often possess a non-uniform stiffness distribution for improving manipulation effectiveness and locomotion efficiency. In this work, a PRB-3R model is used to predict large deflections of a compliant beam with a non-uniform distribution of stiffness. By using the Euler-Bernoulli beam theory, the large deflection of a cantilever beam with a non-uniform stiffness distribution under an applied load was also derived. Results show that the PRB-3R model can precisely predict mechanical behavior of compliant beams that are not too sharp. It is not proper to apply this model to beams with very large slope. This work provides an effective design method for the soft appendages of a biomimetic robot. © 2018 IEEE

关键词： Stiffness

来源：评论

学校读者我要写书评

暂无评论

Detection and isolation of free cancer cells from ascites and peritoneal lavages using optically induced electrokinetics (OEK) (vol 6, eaba9628, 2020)

引用

SCIENCE ADVANCES 2020年第49期6卷 eaba9628页

作者： Zhang, Y. Zhao, J. Yu, H. Li, P. Liang, W. Liu, Z. Lee, G-B. Liu, L. Li, W. J. Wang, Z. State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China. Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110169 China. University of Chinese Academy of Sciences Beijing 100049 China. Department of Surgical Oncology and General Surgery the First Hospital of China Medical University Shenyang China. Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors Ministry of Education Shenyang China. School of Mechanical Engineering Shenyang Jianzhu University Shenyang 110168 China. Department of Power Mechanical Engineering National Tsing Hua University Hsinchu Taiwan. Department of Mechanical Engineering City University of Hong Kong Hong Kong China.

Detection of free gastric cancer cells in peritoneal lavages and ascites plays a vital role in gastric cancer. However, due to the low content of cancer cells in patients’ peritoneal lavages, traditional detection methods lack sensitivity and cannot satisfy clinical demand. In this study, we used an optically induced electrokinetics (OEK) microfluidic method for label-free separation and characterization of patient gastric cancer cells. This method showed high effectiveness and sensitivity. We successfully separated cancer cells from a simulated peritoneal lavage mixture of gastric cancer cell lines and peritoneal lavage cells in a ratio of 1:1000. We further separated gastric cancer cells from six patients’ ascites with purity up to 71%. In addition, we measured the cell membrane capacitances, which may be used as a biomarker for gastric cancer cells. Thus, our method can be used to effectively and rapidly detect peritoneal metastasis and to acquire cellular electrical information.

关键词： Cancer cells

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：