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2020 20th International Conference on Control, Automation and Systems (ICCAS)最新文献

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Investigation of novel teaching method for skillful operation of working plate with an industrial dual arm robot 工业双臂机器人熟练操作工作台教学新方法的探讨
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268362
T. Mase, R. Kitahata, T. Hirogaki, E. Aoyama
With the advancement of the motion control of industrial robots in recent years, there is a demand for a method that can easily measure the accuracy of the synchronous control of a 2-axis dual-arm robot. Therefore, in this study, we propose a new measurement method that creates a ball rolling motion in a circular orbit on the work plate and uses the rolling motion error with respect to the reference circle. In this study, we conducted experiments on the teaching method when controlling the rolling motion of the ball at a position away from the center of the robot on the work plate. Results showed that an error occurred in the maximum inclination angle of the plate, which we kept the ball steady by correcting a teaching program. As the load is applied to the wrist joints by the plate, the effect of the correction of the teaching point angle cannot be obtained. However, the method of correcting the angular velocity between the teaching points was found to be effective.
近年来,随着工业机器人运动控制技术的不断进步,人们需要一种能够方便地测量二轴双臂机器人同步控制精度的方法。因此,在本研究中,我们提出了一种新的测量方法,即在工作板上产生一个球在圆轨道上滚动运动,并利用相对于参考圆的滚动运动误差。在本研究中,我们对控制球在工作板上远离机器人中心位置滚动运动时的教学方法进行了实验。结果表明,板的最大倾斜角出现误差,通过教学程序进行校正,使球保持稳定。由于载荷是由钢板施加到腕关节上的,无法获得教学点角校正的效果。然而,校正教学点之间的角速度的方法是有效的。
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引用次数: 0
Online Motion-Artifact Removal in fNIRS Signals: Combined Square-Root Cubature Kalman Filter and Weighted Moving Average Model Approach fNIRS信号中运动伪影的在线去除:联合平方根Cubature Kalman滤波和加权移动平均模型方法
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268412
Ruisen Huang, Dalin Yang, Kunqiang Qing, K. Hong
One of the advantages of fNIRS systems is their portability for real-world applications. Therefore, the online rejection of the motion artifacts in functional near-infrared spectroscopy (fNIRS) signals is one of the essential research topics. We proposed a square-root cubature Kalman filter using a weighted moving average model to tract the dynamics of motion artifacts. The rationale and feasibility of the method were discussed using simulated data generated using a Balloon model. The results show that the proposed filter has a good suppression of spike-like motion artifacts. Finally, conclusions and further study are discussed.
近红外光谱系统的优点之一是其可移植性。因此,功能近红外光谱(fNIRS)信号中运动伪影的在线抑制是重要的研究课题之一。我们提出了一种利用加权移动平均模型的平方根立方卡尔曼滤波器来跟踪运动伪影的动态特性。利用气球模型生成的仿真数据,讨论了该方法的原理和可行性。结果表明,该滤波器具有较好的抑制峰状运动伪影的效果。最后,对结论和进一步研究进行了讨论。
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引用次数: 1
Nonlinear Kalman Filter by Hermite-Gauss Quadrature 基于厄米-高斯正交的非线性卡尔曼滤波
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268306
P. Hušek, J. Stecha
Kalman filter became a popular tool for state estimation of linear dynamical systems especially due to its simplicity. However in the case of nonlinear systems its realization is more complicated. Commonly used approach called Extended Kalman filter consists in local approximation based on linearization. Another possibility is to approximate the corresponding integrals using some feasible procedures. In this paper we apply Gauss-Hermite Quadrature for state estimation of nonlinear systems and compare its accuracy with Extended Kalman filter.
卡尔曼滤波因其简单的特性而成为线性动力系统状态估计的常用工具。但在非线性系统中,其实现就比较复杂。常用的扩展卡尔曼滤波方法是基于线性化的局部逼近。另一种可能是用一些可行的方法来近似相应的积分。本文将高斯-埃尔米特正交用于非线性系统的状态估计,并与扩展卡尔曼滤波的精度进行了比较。
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引用次数: 0
Gold Nanoparticles Embedded Microrobots for Real-time X-ray Imaging 用于实时x射线成像的金纳米颗粒嵌入微型机器人
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268205
B. Darmawan, Sang Bong Lee, Gwangjun Go, Chang-sei Kim, Doyeon Bang, Jong-Oh Park, Eunpyo Choi
Microrobots have been demonstrated to have the potential in medical approaches, such as for targeted drug delivery. However, real-time tracking and imaging are still one of the major issues faced by microrobots. Here, we fabricated helical microrobots based on self-folding technique, and we performed double coating of gold nanoparticles (AuNPs) to the surface of microrobots to enhance the image quality under X-ray. The result shows that, we successfully coated the AuNPs into the self-rolled microrobots, and it increases the image quality when compared to non-coated microrobots. Despite the fact that there still remain some challenges to achieve successful applications of microrobots, we believe that the potential of this study can contribute to reduce the challenges faces in the medical microrobot fields.
微型机器人已被证明在医疗方法中具有潜力,例如靶向药物输送。然而,实时跟踪和成像仍然是微型机器人面临的主要问题之一。本文基于自折叠技术制备了螺旋微型机器人,并在微型机器人表面涂覆了金纳米粒子(AuNPs),以提高其x射线下的图像质量。结果表明,我们成功地将AuNPs涂覆到自滚微机器人中,与未涂覆的微机器人相比,它提高了图像质量。尽管实现微型机器人的成功应用仍然存在一些挑战,但我们相信本研究的潜力可以有助于减少医疗微型机器人领域面临的挑战。
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引用次数: 0
Concave Wall Surface Tracking for Aerial Manipulator Using Contact Force Estimation Algorithm 基于接触力估计算法的航空机械臂凹壁跟踪
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268298
Seon-il Lee, Hyeon Kim, Uikyum Kim, Hyeonbeom Lee
This paper presents a control algorithm of a contact-based inspection for an Unmanned Aerial Vehicle (UAV) manipulator without using a force sensor. The conventional contact-based operation methods for a ground-based manipulator require a force sensor, but the force measurement is noisy on uneven surfaces. The noisy measurement can cause an unstable flight of the UAV when using direct force measurement as an input. To resolve this issue, we design a contact-force estimation algorithm of a UAV and desired trajectory generation algorithm. Contact-force is estimated by using the dynamics of a UAV and IMU sensor. In addition, to track the concave wall safely, we propose a heading-angle alignment algorithm. Through the Gazebo simulation, we show that the proposed method is effective compared to the force-sensor-based existing method.
提出了一种不使用力传感器的无人机机械臂接触式检测控制算法。传统的地面机械臂接触式操作方法需要一个力传感器,但在不平坦的表面上测力存在噪声。当使用直接力测量作为输入时,噪声测量会导致无人机飞行不稳定。为了解决这个问题,我们设计了一种无人机的接触力估计算法和期望轨迹生成算法。利用无人机和IMU传感器的动力学特性估计了接触力。此外,为了安全跟踪凹壁,我们提出了一种头角对齐算法。通过Gazebo仿真,与基于力传感器的现有方法相比,该方法是有效的。
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引用次数: 2
Developing Education Support System using Interactive Floor Interface 利用交互式地板界面开发教育支持系统
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268366
Tomoya Ono, Soshi Akasaka, Hiroki Ohara, T. Kanamaru
Recently, ICT equipment has been introduced to classrooms in Japan. Moreover, effectiveness of active learning that engages students as active participants in their learning has been discussed. In order to merge the usefulness of ICT and the effectiveness of active learning, we developed interactive floor interface (IFI) that enables users to see teaching materials displayed on a floor and to control it with their gestures. We also developed an interactive teaching material of wave interference designed for IFI. To confirm the effectiveness of IFI, we gave examinations before and after learning to two groups each of which learns wave interference by using either a usual textbook or IFI. As a result, it was found that average scores of examinations have significantly increased in both groups. Although an average increase of scores for IFI was higher than that of usual textbook, we could not show its significant difference. It is important to improve teaching materials for IFI by giving further interactivity, user-friendliness, and so on.
最近,信息通信技术(ICT)设备被引入了日本的教室。此外,积极学习的有效性,使学生积极参与他们的学习已被讨论。为了将信息通信技术的有用性与主动学习的有效性结合起来,我们开发了交互式地板界面(IFI),使用户能够看到地板上显示的教学材料,并用手势控制它。我们还为IFI设计了一套波干涉互动教材。为了证实IFI的有效性,我们在学习前后对两组进行了测试,每组使用常规教科书或IFI学习波干扰。结果发现,两组学生的平均考试成绩都有显著提高。虽然IFI的平均分数增长高于普通教科书,但我们无法显示其显著差异。通过增加互动性、用户友好性等来改进IFI的教材是很重要的。
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引用次数: 0
Contact Type Thread Tester for Tap Inspection Automation 用于丝锥检测自动化的接触式螺纹测试仪
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268255
Jeonghyeon Kim, Sangwon Choi, Jaekuk Choi, Dongsun Lim, Jong-Hyun Kim
In this paper, we introduce a contact type thread tester which can automatically sort out bad thread holes. The existing non-contact type testers used eddy current, camera, ultrasonic, etc. However, non-contact type testers are vulnerable to noise. In this paper, a contact type inspection method is used to sort out the defects of the thread by measuring the reverse torque that occurs while tightening the bolt and threaded holes. This tester is insensitive to noise, such as vibration. We can inspect a thread hole regardless of the size of the hole. Also, the tester automatically aligns bolt and thread hole positions in order to remove the positional error. The tester checks the size of the thread hole using a camera, and automatically carries out the inspection with the optimum torque associated to the hole size. In addition, we develop a smartphone application to control the tester remotely.
本文介绍了一种接触式螺纹检测仪,该检测仪能自动检测出不良螺纹孔。现有的非接触式测试仪采用涡流、相机、超声波等。然而,非接触式测试仪容易受到噪声的影响。本文采用接触式检测方法,通过测量螺栓和螺纹孔拧紧时所产生的反向扭矩,对螺纹缺陷进行分类。该测试仪对噪声(如振动)不敏感。不管孔的大小,我们都可以检查螺纹孔。此外,测试仪自动对准螺栓和螺纹孔的位置,以消除位置误差。该测试仪使用相机检查螺纹孔的尺寸,并自动执行与孔尺寸相关的最佳扭矩检查。此外,我们还开发了一个智能手机应用程序来远程控制测试仪。
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引用次数: 0
Model Predictive Path Planning Based on Artificial Potential Field and Its Application to Autonomous Lane Change 基于人工势场的模型预测路径规划及其在自动变道中的应用
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268380
Pengfei Lin, Woo Young Choi, Seung-Hi Lee, C. Chung
In this paper, we propose a vehicle lane change system using model predictive path planning (MPPP) based on the artificial potential field (APF) for speeding vehicles. It is shown that APF has high performance in real-time obstacle avoidance. However, it remains unpractical for self-driving cars because the point model used for the APF ignores the lateral vehicle dynamics for the lane-keeping system. To resolve the problem, this paper introduces a novel curve-fitting method combined with the APF applied to plan a drivable path for autonomous vehicles in the lane change action. The proposed system was validated through MATLAB/Simulink with the empirical kinematic model. The simulation results indicate that the model predictive path planning algorithm is highly effective in high-speed lane change scenarios to avoid dynamic obstacle vehicles.
提出了一种基于人工势场(APF)的模型预测路径规划(MPPP)的超速车辆变道系统。结果表明,有源滤波器在实时避障中具有良好的性能。然而,对于自动驾驶汽车来说,这仍然是不切实际的,因为用于APF的点模型忽略了车道保持系统的横向车辆动力学。为了解决这一问题,本文提出了一种结合有源滤波器的曲线拟合方法,用于自动驾驶汽车变道时的可驾驶路径规划。通过MATLAB/Simulink对该系统进行了验证,并建立了经验运动学模型。仿真结果表明,该模型预测路径规划算法在高速变道场景下能够有效避开动态障碍车辆。
{"title":"Model Predictive Path Planning Based on Artificial Potential Field and Its Application to Autonomous Lane Change","authors":"Pengfei Lin, Woo Young Choi, Seung-Hi Lee, C. Chung","doi":"10.23919/ICCAS50221.2020.9268380","DOIUrl":"https://doi.org/10.23919/ICCAS50221.2020.9268380","url":null,"abstract":"In this paper, we propose a vehicle lane change system using model predictive path planning (MPPP) based on the artificial potential field (APF) for speeding vehicles. It is shown that APF has high performance in real-time obstacle avoidance. However, it remains unpractical for self-driving cars because the point model used for the APF ignores the lateral vehicle dynamics for the lane-keeping system. To resolve the problem, this paper introduces a novel curve-fitting method combined with the APF applied to plan a drivable path for autonomous vehicles in the lane change action. The proposed system was validated through MATLAB/Simulink with the empirical kinematic model. The simulation results indicate that the model predictive path planning algorithm is highly effective in high-speed lane change scenarios to avoid dynamic obstacle vehicles.","PeriodicalId":6732,"journal":{"name":"2020 20th International Conference on Control, Automation and Systems (ICCAS)","volume":"71 1","pages":"731-736"},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90354244","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: 6
Robust Motion Control of Robotic Systems with Environmental Interaction via Data-Driven Inversion of CPG 基于CPG数据驱动反演的环境交互作用下机器人系统鲁棒运动控制
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268377
Sangyul Park, Hasun Lee, Dongjun Lee
We propose CPG (central pattern generator) based robot control framework constructed based on: 1) the inverse model of the CPG that directly encodes resultant body motion of the robot in CPG parameters; and 2) the CPG parameter adaptation law that enforces robustness of the controller. These two components behaves as feedforward and feedback control for the CPG controlled robot, enabling us to achieve fast and robust generation of a desired body motion for robotic systems operated within complex environmental interaction. The inverse CPG model is constructed based on neural network along with autoencoder to efficiently deal with the dimension decrease from input to output of the model. Also, the CPG parameter adaptation is done with a concept of backpropagation, which is enabled by the adoption of smooth activation function for the inverse CPG model. For the development and verification of the proposed framework, simulation is conducted with two robotic systems, snake-like robot and pivotboard system.
我们提出了基于中心模式生成器(CPG)的机器人控制框架,该框架基于:1)CPG的逆模型,该模型将机器人的最终身体运动直接编码在CPG参数中;2)增强控制器鲁棒性的CPG参数自适应律。这两个组件分别作为CPG控制机器人的前馈和反馈控制,使我们能够在复杂的环境相互作用下实现机器人系统所需身体运动的快速和鲁棒生成。基于神经网络和自编码器构造了CPG逆模型,有效地解决了模型从输入到输出的降维问题。此外,CPG参数的自适应采用了反向传播的概念,通过对逆CPG模型采用平滑激活函数来实现。为了开发和验证所提出的框架,采用蛇形机器人和透视板系统两种机器人系统进行了仿真。
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引用次数: 0
Predictive Collision Avoidance Control with Optimized Ride Comfort in Vehicle Lateral Motion Control 车辆横向运动控制中最优平顺性的预测避碰控制
Pub Date : 2020-10-13 DOI: 10.23919/ICCAS50221.2020.9268424
Jin Ho Yang, Dae Jung Kim, C. Chung
This study aims to propose how autonomous vehicle overtakes an obstacle with model predictive control and makes a lateral ride comfortability by optimizing a jerk in a lateral direction. In this paper, we conducted a case study on collision avoidance in a waypoint tracking situation. To avoid the obstacle, we proposed a desired lateral offset from the global route and used the offset as a reference for avoidance. Then, we defined a quadratic cost function considering the jerk to minimize a motion sickness during the avoidance maneuver. To verify the method, we executed a computational simulation using actual waypoint data. As a result, we observed that the proposed scheme has more comfortability for obstacle avoidance than the method without optimizing the jerk.
本研究旨在提出自动驾驶汽车如何在模型预测控制下超越障碍物,并通过优化横向加力来实现横向行驶舒适性。在本文中,我们对航路点跟踪情况下的避碰进行了案例研究。为了避开障碍物,我们提出了一个理想的偏离全局路径的横向偏移量,并将该偏移量作为避开障碍物的参考。然后,我们定义了一个二次代价函数,考虑了在规避机动过程中使晕动病最小化。为了验证该方法,我们使用实际航点数据执行了计算模拟。结果表明,本文提出的避障方案比未优化的避障方案具有更好的避障舒适性。
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引用次数: 2
期刊
2020 20th International Conference on Control, Automation and Systems (ICCAS)
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