2023 IEEE International Conference on Mechatronics (ICM)最新文献

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Soft Robotic Tongue that Mimicking English Pronunciation Movements 模仿英语发音动作的柔软机器舌头
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10102027
Evan Krisdityawan, S. Yokota, A. Matsumoto, D. Chugo, S. Muramatsu, H. Hashimoto
{"title":"Soft Robotic Tongue that Mimicking English Pronunciation Movements","authors":"Evan Krisdityawan, S. Yokota, A. Matsumoto, D. Chugo, S. Muramatsu, H. Hashimoto","doi":"10.1109/ICM54990.2023.10102027","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10102027","url":null,"abstract":"The purpose of this research is to develop the soft robotic tongue to mimic the movements of English pronunciation aiming at the learning support for English pronunciation. The structure consists of three primary soft actuators. The material applied to the tongue system and the actuator is an Ecoflex 00-30 elastomer. Finite Element Methods (FEM) simulations were conducted to confirm the deformation patterns and compare the results from the 3D animated software Pronunciation Coach 3D. The results show that the bend, bulge, and flap deformation are close to the 3D animated software demonstration with a pressure of 120 kPa. However, the pressure parameter needs an adjustment so the velocity of the tongue model can follow human tongue movements.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123634099","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
Fitting-based Cutting Force Estimation for Machine Tool with Encoder Resolution Analysis 基于编码器分辨率分析的机床切削力拟合估计
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101950
Takumi Hayashi, H. Fujimoto, Yoshihiro Isaoka, Yuki Terada
{"title":"Fitting-based Cutting Force Estimation for Machine Tool with Encoder Resolution Analysis","authors":"Takumi Hayashi, H. Fujimoto, Yoshihiro Isaoka, Yuki Terada","doi":"10.1109/ICM54990.2023.10101950","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101950","url":null,"abstract":"The cutting process with machine tools plays an important role in the industry. Cutting force is a crucial factor in monitoring the tool status, and thus its sensorless estimation is gaining attention. The aim of this study is to develop a practical cutting force estimation. In this study, the encoder resolution is focused on, and the effect of encoder resolution on cutting force estimation is analyzed. Then, a cutting force estimation method robust to the quantization of the encoder signal is proposed. The experiments with an actual machine tool are performed, and the effectiveness of the proposed approach is demonstrated.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131452941","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: 0
Grasping complex shapes with the integration of high-speed vision and machine learning in a dynamic situation 结合高速视觉和机器学习在动态情况下抓取复杂形状
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/icm54990.2023.10101926
Hiromichi Kawahara, T. Senoo, I. Ishii
{"title":"Grasping complex shapes with the integration of high-speed vision and machine learning in a dynamic situation","authors":"Hiromichi Kawahara, T. Senoo, I. Ishii","doi":"10.1109/icm54990.2023.10101926","DOIUrl":"https://doi.org/10.1109/icm54990.2023.10101926","url":null,"abstract":"It is necessary to grasp a complex object with a certain level of speed and accuracy to substitute humans with robots in some studies. A system using machine learning can recognize complex objects, but its computation cost is so high such that it cannot grasp a moving object. In contrast, a system using high-frame-rate (HFR) vision can recognize objects quickly but cannot recognize complex shapes. In this study, we constructed a system combining HFR vision and machine learning to compensate for each other and attempt high-speed grasping for objects with complex shapes.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326067","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: 0
Posture Stabilization Control Compensating Variation of Body Center of Gravity in Underactuated System 欠驱动系统姿态稳定控制补偿重心变化
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101996
Hikaru Yajima, K. Ishizaki, Yasuhiro Miyata, Masamichi Nawa, Norihiko Kato, Toshiyuki Murakami
{"title":"Posture Stabilization Control Compensating Variation of Body Center of Gravity in Underactuated System","authors":"Hikaru Yajima, K. Ishizaki, Yasuhiro Miyata, Masamichi Nawa, Norihiko Kato, Toshiyuki Murakami","doi":"10.1109/ICM54990.2023.10101996","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101996","url":null,"abstract":"With the recent decreasing birthrate and aging population, cooperative robots are attracting attention for a new workforce. As cooperative robot, robots with a small footprint and high center of gravity, like humans, can be considered more suited. Robots with these features are generally unstable, and posture stabilization control becomes important when the center of gravity is shifted due to holding objects or other factors. Therefore, in this study, we select a two-wheeled robot as the target robot and carrying luggage as the target motion, and establish the posture stabilization. Many studies about two-wheeled transport robots do not adequately consider the shift in the center of gravity, which may lead to rapid acceleration and negatively affect position tracking performance. The purpose of this paper is to compensate the shift in the center of gravity of the vehicle, and can perform transport operations in a steady state. To achieve this purpose, we propose to apply Repulsive compliance control(RCC) to a two-wheeled transport robot. Several experiments show its effectiveness.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117290001","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
Local Path Planning with Turnabouts for Mobile Robot by Deep Deterministic Policy Gradient 基于深度确定性策略梯度的移动机器人带交叉口局部路径规划
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101921
Tomoaki Nakamura, Masato Kobayashi, N. Motoi
{"title":"Local Path Planning with Turnabouts for Mobile Robot by Deep Deterministic Policy Gradient","authors":"Tomoaki Nakamura, Masato Kobayashi, N. Motoi","doi":"10.1109/ICM54990.2023.10101921","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101921","url":null,"abstract":"This paper proposes local path planning with turn-abouts for a mobile robot by deep deterministic policy gradient (DDPG). DDPG is one of the actual reinforcement learning methods. This paper focuses on a non-holonomic mobile robot that has a minimum turning radius. Narrow roads exist in human living areas such as homes, commercial facilities, and factories. In this paper, a narrow road is defined as an impassable road with the minimum turning radius of the robot. Therefore, local path planning with turnabouts is needed for a mobile robot to pass a narrow road. However, most conventional local path planning methods do not consider turnabouts, since these methods select only forward velocity. This paper generates the local path planning which consists of forward and backward motion by using DDPG. For the trained model, simulation is used to obtain optimal velocity by minimizing the long-term reward. The reward is set considering goal arrival, number of turnabouts, and obstacle avoidance. The validity of the proposed local path planning by DDPG was confirmed by simulation and experimental results.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131112524","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: 0
Rack force estimation from standstill to high speeds by hybrid model design and blending 基于混合模型设计和混合的静止到高速的齿条力估计
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10102078
Fadi Snobar, Andreas Michalka, Maik Horn, Christoph Strohmeyer, K. Graichen
{"title":"Rack force estimation from standstill to high speeds by hybrid model design and blending","authors":"Fadi Snobar, Andreas Michalka, Maik Horn, Christoph Strohmeyer, K. Graichen","doi":"10.1109/ICM54990.2023.10102078","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10102078","url":null,"abstract":"One of the main challenges of steer-by-wire (SbW) systems is force feedback, which requires either rack force measurement or estimation. In this work, two models are blended to estimate the rack force within the whole velocity range from standstill to high speeds. At standstill, a stationary steering model is presented and adjusted via Gaussian process regression (GPR) for a more accurate estimation. The lateral vehicle dynamics are used to estimate the rack force via an extended Kalman filter (EKF) while the vehicle is moving at high speeds. Both models are combined by two fitting approaches to allow for estimation at low speeds, at which each one shows unsatisfactory results. The resulting blended models are validated with measurements from a test vehicle.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115084767","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: 0
A New Design of Redundant 7-DOF Parallel Robot with Large Workspace 一种新的大工作空间冗余七自由度并联机器人设计
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10101947
Shunichi Sakurai, S. Katsura
{"title":"A New Design of Redundant 7-DOF Parallel Robot with Large Workspace","authors":"Shunichi Sakurai, S. Katsura","doi":"10.1109/ICM54990.2023.10101947","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10101947","url":null,"abstract":"In recent years, the demand for the dexterous machine systems is increasing and various robot mechanisms have been developed. Above all, parallel robots have been taken attention because they have some advantages in the motion performance like high precision and high stiffness. However, the application is limited because the workspace is small and the kinematic characteristics including singularities is complex. Further consideration to overcome such problems at the view of the mechanism will lead to further application of parallel robots. In this study, we propose a new design of 7-DOF parallel robot with large workspace and high dynamic capability. The enlargement of the workspace is realized by the asymmetric architecture and additional joint at the base leading to the kinematic redundancy. The mechanism leads to a simple solution of the forward kinematics and the inverse kinematics available in the control cycle. The kinematic analysis leads to the simple control strategy to perform precise position control. Moreover, robust control is achieved utilizing the acceleration control method based on the disturbance observer. The experiments were conducted with the prototype and the results show that simple and robust position control is realized. This study gives insights to the mechanism of parallel robots and leads to the further application of them.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117217203","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: 0
Improved Nonlinear Estimation in Thermal Networks Using Machine Learning 基于机器学习的热网络改进非线性估计
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10102071
Markus Schumann, S. Ebersberger, K. Graichen
{"title":"Improved Nonlinear Estimation in Thermal Networks Using Machine Learning","authors":"Markus Schumann, S. Ebersberger, K. Graichen","doi":"10.1109/ICM54990.2023.10102071","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10102071","url":null,"abstract":"Emerging new technologies as found in modern electric cars must compete with existing technology in terms of quality and price. The pressure on the price is especially high in the automotive section. Research in the field of state estimation is of high potential for reducing the number of sensors, thus enabling cost savings in production. The methods of machine learning are also increasingly influencing this field of research. This article focuses on the thermal behavior of fluid cooled automotive IGBT (insulated gate bi-polar transistor) inverters and the application of machine learning methods in estimation tasks in nonlinear thermal networks. For this purpose, a parameterized grey-box model is designed using a linear thermal Cauer network in combination with numerical parameter fitting. Special emphasis is put on regression methods that are used to fit nonlinear thermal resistances to measurement data. An unscented Kalman filter (UKF) is applied to estimate states of the thermal network. In addition, a feed-forward artificial neural network (ANN) is trained on the estimation error using sensor signals as predictors to improve the estimation. Results on measurement data from a test bench show a significant improvement by the methods.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131238317","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
Data-Driven Iterative optimization of TDOF Controller with Rational Model 基于Rational模型的TDOF控制器数据驱动迭代优化
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/ICM54990.2023.10102075
Taejune Kong, Hanul Jung, Sehoon Oh
{"title":"Data-Driven Iterative optimization of TDOF Controller with Rational Model","authors":"Taejune Kong, Hanul Jung, Sehoon Oh","doi":"10.1109/ICM54990.2023.10102075","DOIUrl":"https://doi.org/10.1109/ICM54990.2023.10102075","url":null,"abstract":"For precise control, it can be achieved through a feedforward controller with a feedback control scheme. The feedforward controller can be automatically tuned with the datadriven methods through experimental results. However, these data-driven methods are interrupted when the input disturbance is applied. This problem can be solved using Disturbance Observer (DOB) in the control loop. In addition, a data-driven method derives accurate control performance by simultaneously tuning the feedforward controller and DOB model. Furthermore, a tuning algorithm with a rational model is proposed for the corresponding modeling to a flexible system. The simulation results verify that the proposed method accurately tunes the controller for an unknown plant under an input disturbance.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123181043","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: 0
Discrete-time adaptive pole placement control of a multi-inertia system with high-frequency resonance and time-delay 具有高频谐振和时滞的多惯量系统的离散自适应极点放置控制
2023 IEEE International Conference on Mechatronics (ICM) Pub Date : 2023-03-15 DOI: 10.1109/icm54990.2023.10101896
Toshiki Seki, Y. Masui, Nobumasa Ushiro, N. Uchiyama
{"title":"Discrete-time adaptive pole placement control of a multi-inertia system with high-frequency resonance and time-delay","authors":"Toshiki Seki, Y. Masui, Nobumasa Ushiro, N. Uchiyama","doi":"10.1109/icm54990.2023.10101896","DOIUrl":"https://doi.org/10.1109/icm54990.2023.10101896","url":null,"abstract":"This paper presents a design method of a discrete-time adaptive control system for a multi-inertia system with highfrequency resonance and time-delay, which combines an internal loop of torque feedback by pole placement and PI control of angular velocity feedback. By appropriately placing poles of the control system, an output feedback control system that converges rapidly to a reference value can be designed. Furthermore, by extending the control system to adaptive control, the system can be operated under plant fluctuations. The effectiveness of the proposed system was confirmed by simulation.","PeriodicalId":416176,"journal":{"name":"2023 IEEE International Conference on Mechatronics (ICM)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121484359","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: 0
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