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2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)最新文献

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Design of an Intelligent Module for Hydrostatic Bearing 静压轴承智能模块的设计
Cho-Yu Yang, Yi-Feng Chang, Chin-Wen Cheng, C. Sung
This paper proposes an embedded system, as a major part of intelligent module, to improve the reliability and precision of the hydrostatic bearing, which is known as a key subsystem of precision machine tools. The embedded system integrated with sensory devices has two main functions: virtual metrology and fault diagnosis. By employing virtual metrology, the embedded system can accurately estimate the change of oil-film thickness as well as bearing stiffness based on on-line measured pressure, temperature and flow rate with the sensory devices, which will provide to the controller of machine tool to either compensate the dimensional inaccuracy or initiate preventive maintenance. To fulfill the function of embedded system the equations governing the relationship among the oil-film thickness, pocket pressure and flow rate are derived and employed to train the predictive model of virtual metrology by a large amount of experimental data with Linear Regression method. Comparing the error predictive model with theoretical derivation, the error of the predictive model was reduced less than 5%.
为了提高精密机床的关键子系统——静压轴承的可靠性和精度,本文提出了一种嵌入式系统,作为智能模块的主要组成部分。嵌入式传感系统具有虚拟计量和故障诊断两大功能。嵌入式系统采用虚拟测量技术,利用传感装置,可以根据在线测量的压力、温度和流量,准确地估计出油膜厚度和轴承刚度的变化,为机床控制器提供补偿尺寸误差或进行预防性维护提供依据。为了实现嵌入式系统的功能,推导了油膜厚度、油袋压力和流量之间的关系方程,并利用线性回归方法利用大量实验数据训练了虚拟计量的预测模型。将误差预测模型与理论推导相比较,预测模型的误差减小到5%以内。
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引用次数: 0
Research of vehicle parameter and sensor systems necessary to control autonomous vehicles 自动驾驶汽车控制所需的车辆参数和传感器系统研究
D. Pup, G. Szakallas, J. Polak
Our long-term goal is to implement autonomous vehicle control functions on a standard vehicle. At first we started with the investigation of the steering, which is a crucial area of the control of autonomous vehicles. As a part of the program, vehicle dynamical measurements were carried out on a Nissan Leaf electric vehicle equipped with a sensor system.
我们的长期目标是在标准车辆上实现自动车辆控制功能。首先,我们从转向的研究开始,这是自动驾驶汽车控制的一个关键领域。作为该计划的一部分,在配备传感器系统的日产Leaf电动汽车上进行了车辆动力学测量。
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引用次数: 0
Spline-based energy-optimal trajectory planning for functionally redundant robots 基于样条的功能冗余机器人能量最优轨迹规划
P. Boscariol, D. Richiedei
The design of optimal trajectories for automatic machines is an effective tool to reduce their energy consumption. This work investigates the topic by proposing a method tailored for functionally redundant robots, i.e., the ones which have more degrees of freedom than the ones required by the task. The test case under consideration is a serial 3R robot used for a positioning task in a planar space, described by a sequence of via-points in the operative space. Speed limits and smoothness constraints, in terms of speed and jerk limitations are taken into account to ensure trajectory feasibility. The method finds the optimal time intervals between two consecutive via-points, as well as the optimal robot configurations at the via-points (i.e., the optimal solution of the inverse kinematic problem among the infinite ones). The results show the capability of the method in producing energy-efficient motion profile, and the improved results over the optimization of just the time intervals.
自动机床的最优轨迹设计是降低机床能耗的有效手段。这项工作通过提出一种为功能冗余机器人量身定制的方法来研究这个主题,即那些比任务所需的自由度更多的机器人。所考虑的测试用例是用于平面空间定位任务的串行3R机器人,由操作空间中的一系列过孔点描述。速度限制和平稳性约束,在速度和加速度限制方面考虑,以确保轨迹的可行性。该方法求出两个连续过点之间的最优时间间隔,以及机器人在过点处的最优构型(即无穷个逆运动学问题中的最优解)。结果表明,该方法能够产生高效节能的运动轮廓,并且在仅对时间间隔进行优化的情况下,得到了改进的结果。
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引用次数: 2
Real-time and Robust Collaborative Robot Motion Control with Microsoft Kinect ® v2 实时和鲁棒协作机器人运动控制与微软Kinect®v2
Burak Teke, Minna Lanz, J. Kämäräinen, A. Hietanen
Recent development in depth sensing provide various opportunities for the development of new methods for Human Robot Interaction (HRI). Collaborative robots (co-bots) are redefining HRI across the manufacturing industry. However, little work has been done yet in the field of HRI with Kinect sensor in this industry. In this paper, we will present a HRI study using nearest-point approach with Microsoft Kinect v2 sensor’s depth image (RGB-D). The approach is based on the Euclidean distance which has robust properties against different environments. The study aims to improve the motion performance of Universal Robot–5 (UR5) and interaction efficiency during the possible collaboration using the Robot Operating System (ROS) framework and its tools. After the depth data from the Kinect sensor has been processed, the nearest points differences are transmitted to the robot via ROS.
深度传感的最新发展为开发人机交互(HRI)新方法提供了各种机会。协作机器人(co-bots)正在整个制造业重新定义人力资源管理(HRI)。然而,在这个行业中,Kinect传感器在HRI领域的工作还很少。在本文中,我们将使用最近点方法与微软Kinect v2传感器的深度图像(RGB-D)进行HRI研究。该方法基于欧几里得距离,对不同环境具有鲁棒性。本研究旨在利用机器人操作系统(ROS)框架及其工具,提高Universal Robot - 5 (UR5)在可能的协作过程中的运动性能和交互效率。Kinect传感器的深度数据经过处理后,最近的点差通过ROS传输给机器人。
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引用次数: 9
Sensor-embedded Linear Ball Bearing for Linear Guide Way Pre-load and Straightness Monitoring 用于直线导轨预载荷和直线度监测的传感器嵌入式直线球轴承
Chih-Chun Cheng, W. Cheng, M. Liao, C. Sung
A cost-effective sensor-embedded smart linear guideway type (LGT) recirculating linear ball bearing is proposed. Two kinds of sensors are installed on this linear ball bearing. The first one is an optical mouse sensor which provides the positioning information. The second one is a tactile load cell, called Force Sensitive Resistor (FSR) which measures the forces from the guide ways. With these sensors, the recirculating linear ball bearing is utilized to monitor the position and the onset of preload loss and, moreover; the straightness and parallelism of linear guide ways. By tracking the change of force sensed by the FSR along the guide way, the LGT linear bearing preload degradation and the guide way alignment can be on-line monitored automatically without taking off the worktable. The performance of this proposed sensor-embedded smart linear ball bearing is assessed experimentally.
提出了一种具有成本效益的嵌入式传感器智能直线导轨式(LGT)循环直线球轴承。该直线球轴承上安装了两种传感器。第一个是提供定位信息的光学鼠标传感器。第二个是触觉测压元件,称为力敏电阻(FSR),用于测量来自导轨的力。利用这些传感器,利用循环直线球轴承来监测预载荷损失的位置和开始;直线导轨的直线度和平行度。通过跟踪FSR感知的沿导轨方向的力变化,可以在不取下工作台的情况下自动在线监测LGT线性轴承预紧力退化和导轨对中。实验验证了该传感器嵌入式智能直线球轴承的性能。
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引用次数: 2
A Synergic Photometric Stereo and Super Resolution Approach for Optical Inspection 一种协同光度立体和超分辨率光学检测方法
A. Galdelli, A. Mancini, E. Frontoni, P. Zingaretti
Three-dimensional reconstruction is a very important technique of Computer Vision that produces a three-dimensional (3D) model of a real scene. For this purpose, we use Photometric Stereo that allows you to shape estimation from several images under different lighting conditions. In the last few years, this technology has been used in many areas both working and scientific. An important sector where Photometric Stereo is used is quality control inside productive cycle. In some case, the model 3D is used to identify defects or to make measurements of the order of hundredths or even thousandths of millimeters. To obtain an accurate 3D model, it is necessary to use an cost-effective reconstruction system with a performance hardware. Alternatively, we propose a method that combine Photometric Stereo with Super Resolution that produces a very accurate model using cheap and lower performance hardware that is suitable for optical inspection. Indeed, the Super Resolution allows to overcome the hardware constraint and produce one high resolution image from a set of low resolution images. With this novel method, we obtain a very accurate 3D model that could be in a decision support system for optical inspection.
三维重建是计算机视觉中一项非常重要的技术,用于生成真实场景的三维模型。为此,我们使用光度立体,允许您在不同的照明条件下从多个图像进行形状估计。在过去的几年里,这项技术已经在许多工作和科学领域得到了应用。光度立体的一个重要应用领域是生产周期内的质量控制。在某些情况下,3D模型用于识别缺陷或进行百分之一甚至千分之一毫米的测量。为了获得精确的三维模型,有必要使用具有高性价比和高性能硬件的重建系统。另外,我们提出了一种将光度立体与超分辨率相结合的方法,该方法使用适合光学检测的廉价和低性能硬件产生非常精确的模型。实际上,超分辨率允许克服硬件限制,从一组低分辨率图像中生成一个高分辨率图像。通过这种新方法,我们获得了一个非常精确的三维模型,可以用于光学检测的决策支持系统。
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引用次数: 2
Design, Development and Experimental Evaluation of a Vortex Actuation System 旋涡驱动系统的设计、研制与实验评价
G. Andrikopoulos, G. Nikolakopoulos
In this article, the potential of utilizing a commercially available Electric Ducted Fan (EDF) as a negative-pressure actuator for adhesion purposes is experimentally tested. To this purpose, a novel EDF-based Vortex Actuation System (VAS) is proposed and presented from a design, development and experimental evaluation perspective. The effect of different EDF design properties and design alterations to the actuation system is analyzed, for providing novel considerations on optimizing the adhesion efficiency of such a system.
在这篇文章中,利用商业上可用的电管道风扇(EDF)作为粘附目的的负压致动器的潜力进行了实验测试。为此,从设计、研制和实验评价的角度,提出了一种新型的涡流驱动系统(VAS)。分析了不同的EDF设计特性和设计变更对驱动系统的影响,为优化驱动系统的附着效率提供了新的思路。
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引用次数: 3
Improved particle swarm optimization for fast block matching with application to motion estimation in micro/nano systems 基于改进粒子群算法的快速块匹配及其在微纳系统运动估计中的应用
Gaozhao Su, Guoliang Lu, Peng Yan
The function of motion estimation (ME) is crucial in micro/nano systems in which the use of RGB/gray cameras attracts an increasing attention in recent years. In this paper, to improve the computational efficiency of existing PSO-based motion estimation method using RGB/gray cameras, we present a novel fast algorithm for the motion estimation problem with application to nano/micro manipulation systems. Particularly, in the proposed method, we improve the PSO with introducing the narrow solution space (NSS), to develop an improved version of PSO which was experimentally demonstrated significant improvements over the standard PSO on the computation speed meanwhile with a comparable estimation accuracy. Moreover, the method can also potentially allow to be integrated with a sub-pixel interpolation technique for the purpose of allowing for more advanced manipulation tasks.
运动估计在微纳系统中起着至关重要的作用,近年来RGB/灰度相机的应用越来越受到人们的关注。为了提高现有基于pso的RGB/灰度相机运动估计方法的计算效率,提出了一种新的快速运动估计算法,并应用于纳米/微操作系统。在本文提出的方法中,我们通过引入窄解空间(NSS)对粒子群算法进行改进,开发出一种改进版本的粒子群算法,实验证明该算法在计算速度上比标准粒子群算法有显著提高,同时具有相当的估计精度。此外,该方法还可以潜在地允许与亚像素插值技术集成,以便允许更高级的操作任务。
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引用次数: 2
MESA 2018 Committees MESA 2018委员会
{"title":"MESA 2018 Committees","authors":"","doi":"10.1109/mesa.2018.8449185","DOIUrl":"https://doi.org/10.1109/mesa.2018.8449185","url":null,"abstract":"","PeriodicalId":138936,"journal":{"name":"2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121866707","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
Questions regarding vehicle safety and the mathematical analysis of safety in large scale networks using positive dynamic systems and probability theory methods 使用正动态系统和概率论方法对车辆安全性和大规模网络安全性进行数学分析的问题
Tamás Péter, I. Lakatos, Ferenc Szauter, K. Szabo
This paper introduces the mathematical modeling, safety analysis and development of diagnostic methods. Its aim is to establish a new, accredited research laboratory for the testing and quality assurance of hybrid and electric driven vehicles. The task is very complex and it puts special emphasis on environmental and safety issues.
本文介绍了数学建模、安全分析和诊断方法的发展。其目的是建立一个新的,认可的研究实验室,用于测试和保证混合动力和电动汽车的质量。这项任务非常复杂,它特别强调环境和安全问题。
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引用次数: 0
期刊
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)
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