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SSRN 2023年

作者： Zhang, Qiang Liu, Yan Zhang, Riguang Lv, Bohan Hao, Runfang Sang, Shengbo Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Electronic Information and Optical Engineering Taiyuan University of Technology Shanxi Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System of The Ministry of Education Taiyuan University of Technology Shanxi Taiyuan030024 China School of Software Taiyuan University of Technology Shanxi Taiyuan030024 China State Key Laboratory of Clean and Efficient Coal Utilization China Laboratory of Aerospace Servo Actuation and Transmission Beijing Institute of Precision Mechatronics and Controls Beijing100000 China

Two-dimensional (2D) semiconductors have shown competitive potential for applications into beyond-silicon electronics. However, the controllable electrical characteristic of metal-semiconductor interfaces is still a challenge for high performance electronics due to Fermi level pinning. To explore Ti3C2T2/MoS2 (T= OH, F, O) for high performance electronics, the vertical electric field and interlayer distance are adopted here to regulate the electrical characteristic of interfaces based on the first-principles calculations. Though this, the electrical characteristic of Ti3C2O2/MoS2 and Ti3C2F2/MoS2 are more sensitive to electric field or interlayer distance than that of Ti3C2(OH)2/MoS2. Especially, the negative electric field with larger than -0.2 V/Å makes Ti3C2O2/MoS2 interface change from p-type Schottky to n-type Schottky contact. Furthermore, the Ti3C2O2/MoS2 interface can not only switch from p-type Schottky to n-type Schottky contact, but also from p-type Schottky to n-type Ohmic contact by varying interlayer distance. Moreover, the tunneling barriers of all interfaces are more sensitive to interlayer distance than to electric field. This work provides vital insights for high-performance electronics of Ti3C2T2/MoS2 (T=OH, F, O) in experiments. © 2023, The Authors. All rights reserved.

关键词： Electric fields

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Self-Tuning Clamping Force Control with Optimal Trajectory Tracking for Autonomous Pipe Inspection Robots

Journal of Pipeline Science and Engineering

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Journal of Pipeline Science and Engineering 2025年

作者： Guoxin Sun Longfei Xia Xinpeng Du Qihui Yu Jianlong Zhang Ripeng Qin School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou Inner Mongolia Autonomous Region 014010 China Inner Mongolia Engineering Technology Research Center of Mechatronics System Intelligent Diagnosis & Control Engineering 014010 China Inner Mongolia Ming yang North Smart Energy Research and Development Center Co LTD

To address the inability of existing external pipe-climbing robots to adaptively regulate clamping force during operation, a novel robot was developed. To enable automatic clamping in response to varying pipeline conditions, an adaptive clamping force control method based on optimal velocity trajectory tracking is proposed. This approach achieves adaptive clamping force regulation through indirect speed control. First, the target clamping force is calculated according to pipeline conditions and is then translated into a target rotational speed via optimal velocity trajectory planning. The motor then accurately tracks this speed signal, thereby ensuring precise control of the clamping force. Experimental results of the robot prototype demonstrate that the proposed algorithm maintains a clamping force control error of less than 5.0% across pipelines with different diameters, inclinations, and surface roughness—outperforming traditional PID control and ensuring stable operation under varying conditions of angle, diameter, and friction.

关键词： External pipe-crawling robot Adaptive clamping Optimal speed curve Tracking control

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Force-based Feedback for Haptic Device of Mobile Assembly Robot

Force-based Feedback for Haptic Device of Mobile Assembly Ro...

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International Workshop on Electric Drives: Optimization in Control of Electric Drives (IWED)

作者： Aleksandr Lukin Galina L. Demidova Anton Rassõlkin Toomas Vaimann Hamid Roozbahani Faculty of Control System and Robotics ITMO University Saint Petersburg Russia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallin Estonia Laboratory of Intelligent Machines Lappeenranta University of Technology Lappeenranta Finland

ISBN: (数字)9781728141589

ISBN: (纸本)9781728141596

This paper describes the control system for twin serial robot manipulators, installed on TIERA mobile robot, focusing in Robot Operating system (ROS) based control network and haptic feedback. Forward and inverse kinematics were used to translate the angular positions of Geomagic touch into joint angles of both UR10 manipulators. Force feedback allows the operator to sense forces applied to both grippers of robotic arms simultaneously using two Geomagic touch. Field tests of TIERA have shown that haptic feedback was established accurately, directions of forces inside the haptic device correspond with directions of forces affecting the gripper, and the current scaling coefficient is enough to sense forces on the haptic device.

关键词： Manipulators Robot sensing systems Robot kinematics Haptic interfaces Software

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Microengineered platforms for characterizing the contractile function of in vitro cardiac models

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Microsystems & Nanoengineering 2022年第1期8卷 29-50页

作者： Wenkun Dou Manpreet Malhi Qili Zhao Li Wang Zongjie Huang Junhui Law Na Liu Craig A.Simmons Jason T.Maynes Yu Sun Department of Mechanical and Industrial Engineering University of TorontoTorontoON M5S 3G8Canada Program in Molecular Medicine The Hospital for Sick ChildrenTorontoON M5G 1X8Canada Department of Biochemistry University of TorontoTorontoON M5S 1A8Canada Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics Nankai UniversityTianjin 300350China School of Mechanical&Automotive Engineering Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353China School of Mechatronics Engineering and Automation Shanghai UniversityShanghai 200444China Institute of Biomedical Engineering University of TorontoTorontoON M5S 3G9Canada Translational Biology&Engineering Program Ted Rogers Centre for Heart ResearchTorontoON M5G 1M1Canada Department of Anesthesiology and Pain Medicine University of TorontoTorontoON M5S 1A8Canada Department of Anesthesia and Pain Medicine The Hospital for Sick ChildrenTorontoON M5G 1X8Canada Department of Electrical and Computer Engineering University of TorontoTorontoON M5S 3G4Canada Department of Computer Science University of TorontoTorontoON M5T 3A1Canada

Emerging heart-on-a-chip platforms are promising approaches to establish cardiac cell/tissue models in vitro for research on cardiac physiology,disease modeling and drug cardiotoxicity as well as for therapeutic *** still exist in obtaining the complete capability of in situ sensing to fully evaluate the complex functional properties of cardiac cell/tissue *** to contractile strength(contractility)and beating regularity(rhythm)are particularly important to generate accurate,predictive *** new platforms and technologies to assess the contractile functions of in vitro cardiac models is essential to provide information on cell/tissue physiologies,drug-induced inotropic responses,and the mechanisms of cardiac *** this review,we discuss recent advances in biosensing platforms for the measurement of contractile functions of in vitro cardiac models,including single cardiomyocytes,2D monolayers of cardiomyocytes,and 3D cardiac *** characteristics and performance of current platforms are reviewed in terms of sensing principles,measured parameters,performance,cell sources,cell/tissue model configurations,advantages,and *** addition,we highlight applications of these platforms and relevant discoveries in fundamental investigations,drug testing,and disease ***,challenges and future outlooks of heart-on-a-chip platforms for in vitro measurement of cardiac functional properties are discussed.

关键词： cardiac contractile regularity

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Self-Tuning Clamping Force Control with Optimal Trajectory Tracking for Autonomous Pipe Inspection Robots

SSRN

引用

SSRN 2025年

作者： Sun, Guoxin Xia, Longfei Du, Xinpeng Yu, Qihui Zhang, Jianlong Qin, Ripeng School of Mechanical Engineering Inner Mongolia University of Science and Technology Inner Mongolia Autonomous Region Baotou014010 China Inner Mongolia Engineering Technology Research Center of Mechatronics System Intelligent Diagnosis & Control Engineering 014010 China Inner Mongolia Ming yang North Smart Energy Research and Development Center Co LTD China Department of Mechanical Engineering Denmark Inner Mongolia University of Science and Technology China

In response to the limitations of existing external pipe-crawling robots, which are unable to automatically adjust clamping force during operation, a novel external pipe-crawling robot has been designed. To enable adaptive clamping based on varying pipeline conditions, an adaptive clamping force control method based on optimal speed curve tracking is proposed. First, the target clamping force is calculated according to pipeline conditions, and it is then converted into a target speed signal through optimal speed curve planning. Subsequently, the motor precisely tracks the speed signal to achieve accurate clamping force control. Experimental results from the robot prototype demonstrate that the proposed algorithm maintains a clamping force control error rate of less than 8.0% under pipelines with different diameters, inclination angles, and surface roughness, ensuring stable operation across various pipeline conditions. © 2025, The Authors. All rights reserved.

关键词： Clamping devices

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Closed-Form Modeling and Analysis of an XY Flexure-Based Nano-Manipulator

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Chinese Journal of Mechanical Engineering 2018年第1期31卷 176-186页

作者： Yan-Ding Qin Xin Zhao Bijan Shirinzadeh Yan-Ling Tian Da-Wei Zhang Institute of Robotics and Automatic Information System (Tianjin Key Laboratory of Intelligent Robotics) Nankai University Robotics and Mechatronics Research Laboratory Department of Mechanical and Aerospace Engineering Monash University School of Mechanical Engineering Tianjin University

Flexure-based mechanisms are widely utilized in nano manipulations. The closed-form statics and dynamics modeling is difficult due to the complex topologies, the inevitable compliance of levers, the Hertzian contact interface, etc. This paper presents the closed-form modeling of an XY nano-manipulator consisting of statically indeterminate symmetric(SIS) structures using leaf and circular flexure hinges. Theoretical analysis reveals that the lever’s compliance, the contact stiffness, and the load mass have significant influence on the static and dynamic performances of the *** are conducted to verify the effectiveness of the established models. If no piezoelectric actuator(PEA) is installed, the influence of the contact stiffness can be eliminated. Experimental results show that the estimation error on the output stiffness and first natural frequency can reach 2% and 1.7%, respectively. If PEAs are installed, the contact stiffness shows up in the models. As no effective method is currently available to measure or estimate the contact stiffness, it is impossible to precisely estimate the performance of the overall system. In this case, the established closed-form models can be utilized to calculate the bounds of the performance. The established closed-form models are widely applicable in the design and optimization of planar flexure-based mechanisms.

关键词： Flexure-based mechanism Statically indeterminate structure Dynamics Lever mechanism Piezoelectric actuator

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Multiple model guided image filter for target detection and recognition according to noise type

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Journal of Institute of Control, Robotics and systems 2020年第8期26卷 616-623页

作者： Kim, Sun Young Kang, Chang Ho Cho, Jun Hoo Song, Jin Woo Park, Chan Gook School of Mechanical Convergence System Engineering Kunsan National University Korea Republic of Department of Mechanical System Engineering Kumoh National Institute of Technology Korea Republic of Sub-Mid Total Vehicle Evaluation Team Hyundai Motor Company Korea Republic of School of Intelligent Mechatronics Engineering Sejong University Korea Republic of Department of Mechanical and Aerospace Engineering and the Institute of Advanced Aerospace Technology Seoul National University Korea Republic of

In this paper, a MMGIF (Multiple Model Guided Image Filter) is proposed to eliminate the additive noise in a measured image and to eventually detect and recognize targets in the vision-used system reliably. We only consider Gaussian noise and saltand-pepper noise (impulse noise), which are practical and representative noise types in images. Therefore, the proposed MMGIF consists of two different GIFs (Guided Image Filters) and applies the appropriate GIF according to the noise type. One GIF model is a standard GIF for removing white Gaussian noise, and the other model is a Laplacian GIF for salt-and-pepper noise, which generally occurs in CCD camera images. Furthermore, in order to select the proper model, an image noise identification method is also proposed in this paper. The proposed algorithm estimates the image noise type based on a logistic regression algorithm by using kurtosis, skewness, and normality obtained from the estimated noise distribution. The performance of the proposed algorithm is evaluated in terms of peak signal-to-noise ratio and image enhancement factor through several simulations. © ICROS 2020.

关键词： Image enhancement

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Design and test of ceramic knife-edge seal for in-situ heating system of extracting volatile matter from lunar soil

引用

Advances in Space Research 2025年

作者： Yinchao Wang Yuanling Sun Jianbo Zhou Bowei Wang Junyue Tang Zixiao Lu Huazhi Chen Bo Wang Xiaobo Su Shengyuan Jiang School of Mechatronics and Engineering Shenyang Aerospace University Shenyang 110136 China Key Laboratory of Rapid Development & Manufacturing Technology for Aircraft (Shenyang Aerospace University) Ministry of Education Shenyang 110136 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 China Nanometer Intelligent Sensor Lab National Center for Nanoscience and Technology Beijing 100190 China China Academy of Space Technology Beijing 100190 China Sichuan boffins robotic and robotizatian Co. LTD Chengdu 610052 China

In the pursuit of accurate lunar soil volatile exploration, in-situ deep space sampling analysis offers unparalleled preservation of sample integrity. A critical challenge lies in ensuring a secure sealing environment. This paper introduces an innovative sealing method utilising a ceramic blade to compress a non-metallic seal. Initially, following a comprehensive multidimensional evaluation of sealing configurations, the ceramic knife-edge compression non-metallic sealing ring solution was determined to be optimal. This approach involves positioning the sealing ring within a grooved cylindrical heating furnace body, where radial compression is achieved through an annular ceramic knife-edge interface, thereby ensuring hermetic integrity. Subsequently, a sealing leakage model grounded in Roth theory was developed to elucidate micro-leakage mechanisms. ANSYS simulation software was utilised to investigate the influence of blade tip radius and temperature, revealing correlations with average stress and contact width, as well as the impact of temperature extremes on sealing efficacy. These findings provided the theoretical underpinning for subsequent ground tests. A dedicated test platform was established, adhering to the industry standard QJ3089A-2018, to evaluate the sealing performance of various seal and blade tip radius combinations under diverse conditions. Results indicated that, under a force of 500N, PTFE seals compressed by an R0.5mm blade and PVMQ seals compressed by an R0.6mm blade achieved leakage rates on the order of 10 -8 Pa·m 3 ·s -1 , aligning with theoretical predictions and demonstrating repeatable sealing capability. This study presents a novel and reliable sealing solution for the precise exploration of lunar soil volatiles, offering a technical breakthrough and robust sealing strategy for future deep space missions.

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Defining digital quadruplets in the cyber-physical-social space for parallel driving

arXiv

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arXiv 2020年

作者： Liu, Teng Xing, Yang Chen, Long Cao, Dongpu Wang, Fei-Yue Vehicle Intelligence Pioneers Inc Shandong Qingdao266109 China Qingdao Academy of Intelligent Industries QingdaoShandong266109 China Department of Mechanical and Mechatronics Engineering University of Waterloo N2L 3G1 Canada State Key Laboratory of Management and Control for Complex System Institute of Automation Beijing China

Parallel driving is a novel framework to synthesize the vehicle intelligence and transport automation. This article aims to define the digital quadruplets in parallel driving. In the cyber-physical-social systems (CPSS), based on the ACP method, the names of the digital quadruplets are first given, which are descriptive, predictive, prescriptive and real vehicles. The objectives of the three virtual digital vehicles are interacting, guiding, simulating and improving with the real vehicles. Then, the three virtual components of the digital quadruplets are introduced in detail and their applications are also illustrated. Finally, the real vehicles in parallel driving system and the research process of the digital quadruplets are depicted. The presented digital quadruplets in parallel driving are expected to make the future connected automated driving safety, efficiently and synergistically. Copyright © 2020, The Authors. All rights reserved.

关键词： Vehicles

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Collaborative Perception Datasets for Autonomous Driving: A Review

arXiv

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arXiv 2025年

作者： Wang, Naibang Shang, Deyong Gong, Yan Hu, Xiaoxi Song, Ziying Yang, Lei Huang, Yuhan Wang, Xiaoyu Lu, Jianli Beijing100083 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China State Key Laboratory of Intelligent Green Vehicle and Mobility Tsinghua University Beijing100084 China Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence School of Computer Science and Technology Beijing Jiaotong University China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore School of Mechatronics Engineering Harbin Institute of Technology 92 West Dazhi St. Harbin China Department of Electronic & Electrical Engineering University of Bath United Kingdom

Collaborative perception has attracted growing interest from academia and industry due to its potential to enhance perception accuracy, safety, and robustness in autonomous driving through multi-agent information fusion. With the advancement of Vehicle-to-Everything (V2X) communication, numerous collaborative perception datasets have emerged, varying in cooperation paradigms, sensor configurations, data sources, and application scenarios. However, the absence of systematic summarization and comparative analysis hinders effective resource utilization and standardization of model evaluation. As the first comprehensive review focused on collaborative perception datasets, this work reviews and compares existing resources from a multi-dimensional perspective. We categorize datasets based on cooperation paradigms, examine their data sources and scenarios, and analyze sensor modalities and supported tasks. A detailed comparative analysis is conducted across multiple dimensions. We also outline key challenges and future directions, including dataset scalability, diversity, domain adaptation, standardization, privacy, and the integration of large language models. To support ongoing research, we provide a continuously updated online repository of collaborative perception datasets and related literature: https://***/frankwnb/Collaborative-Perceptio n-Datasets-for-Autonomous-Driving. © 2025, CC BY-SA.

关键词： Sensor data fusion

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