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2015 International Conference on Control, Automation and Robotics最新文献

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Ultrasonic sensor based approach for identifying the camera ROI 基于超声传感器的摄像机ROI识别方法
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7166036
S. Pradeep, N. Avinash, M. Shashi Kumar
Image segmentation and classification is a tough when there are partial occlusion, reflection, and shadows in the image which increase false alarms. This paper describes the method for defining regions of interest in an image using ultrasonic sensors data which will be further used for image segmentation and classification. Sensors mounted in the view of the camera are calibrated for their position with respect to the camera to the relative distance between the human and robot. Depending on these calibration parameters, the image is divided into number of regions that is equivalent to number of sensors.
当图像中存在部分遮挡、反射和阴影等会增加误报时,图像分割和分类是一个难点。本文描述了利用超声传感器数据在图像中定义感兴趣区域的方法,该方法将进一步用于图像分割和分类。安装在摄像机视野内的传感器根据其相对于摄像机的位置以及人与机器人之间的相对距离进行校准。根据这些校准参数,将图像划分为相当于传感器数量的多个区域。
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引用次数: 0
Versatile climbing robot for vessels inspection 用于船舶检查的多功能攀爬机器人
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7165995
M. Alkalla, M. Fanni, A. Mohamed
This work focuses on proposing and designing a new climbing robot to explore the interiors of industrial vessels and enables a human outside the vessels to implement required regular inspection tasks efficiently. There are two main adhesion systems in the literature: magnetic and air suction systems. The magnetic system climbs surfaces made of ferromagnetic materials only, while air suction system cannot handle irregular surfaces due to possible seals damage. Opposite to previous climbing robots, the proposed robot here can climb and navigate vessels made from different materials besides handling possible irregular surfaces during inspection. Its main task is visual inspection of welds and any critical spots inside these vessels. The novelty of this robot comes from utilizing a hybrid actuation system. This hybrid actuation system consists of upturned propellers fixed on mobile robot and motorized wheels of the mobile robot. The pressure generated from the upturned propellers increase the friction force between the wheels of the mobile robot and the wall. The wheels' motors generate the required torque either to fix the robot in any position or to move it to any place. Since the motion of the robot comes mainly from the motorized wheel, the stability of the system during navigation is guaranteed. Size and topology optimizations are carried out to achieve optimum design of the proposed robot. Simulation results of the designed robot using ADAMS software prove its feasibility.
这项工作的重点是提出和设计一种新的攀爬机器人,用于探索工业船舶的内部,并使船舶外部的人类能够有效地执行所需的定期检查任务。文献中有两种主要的粘附系统:磁性和空气吸力系统。磁性系统只能爬上由铁磁性材料制成的表面,而空气吸入系统不能处理不规则表面,因为可能损坏密封。与以前的攀爬机器人不同,这里提出的机器人除了在检查过程中处理可能的不规则表面外,还可以攀爬和导航由不同材料制成的船只。它的主要任务是目视检查焊缝和这些容器内的任何关键点。这个机器人的新颖之处在于它采用了混合驱动系统。该混合驱动系统由固定在移动机器人上的上旋螺旋桨和移动机器人的机动轮组成。向上转动的螺旋桨产生的压力增加了移动机器人的轮子和墙壁之间的摩擦力。轮子的马达产生所需的扭矩,将机器人固定在任何位置或移动到任何地方。由于机器人的运动主要来自于电动轮,因此保证了系统在导航过程中的稳定性。对机器人进行了尺寸和拓扑优化,实现了机器人的优化设计。利用ADAMS软件对所设计的机器人进行了仿真,验证了其可行性。
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引用次数: 9
Method for vectorial robot movement determination enabling accuracy improvements 改进精度的矢量机器人运动测定方法
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7165996
A. Buschhaus, N. Apel, J. Franke
Promising approaches for robot accuracy improvements belong to the visual servoing methods. These methods comprise closed-loop control systems, which utilize sensors to guide the robot relative to visible features of a work-piece. However, the known methods show limitations regarding their usability for highly accurate applications or tasks without a predetermined process pathway. To overcome this problem, at FAPS a system for high-speed monitoring of the work-piece's movement is investigated. The system enables a closed-loop control of the robots motion, if a deviation between actual and planned movement is determined. For the actual movement determination, a highly efficient and accurate image data processing system, based on a vectorial movement determination of fiducial markers is developed. In this context, a highly efficient and geometrical accurate actual state determination constitutes a significant challenge. Experiments show, that the system allows a position determination in an area of ten microns at a frequency faster than 500 Hz, thus enabling a reactive robot control and accuracy improvement.
视觉伺服方法是提高机器人精度的有效途径。这些方法包括闭环控制系统,它利用传感器来引导机器人相对于工件的可见特征。然而,已知的方法对于高度精确的应用程序或没有预定过程路径的任务的可用性显示出局限性。为了克服这一问题,FAPS研究了一种用于工件运动的高速监控系统。如果确定了实际和计划运动之间的偏差,该系统可以对机器人的运动进行闭环控制。针对实际运动的确定,开发了一种基于基准标记矢量运动确定的高效、准确的图像数据处理系统。在这种情况下,高效和几何精确的实际状态确定构成了重大挑战。实验表明,该系统可以在10微米范围内以超过500赫兹的频率确定位置,从而实现机器人的反应控制和精度提高。
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引用次数: 3
Design of automobile fuel injection signal detection device 汽车燃油喷射信号检测装置的设计
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7166022
Xuetao Duan, Yun-ling Wang
The automobile fuel injection signal detection device is designed based on single chip microcomputer. The device can be used to capture automobile fuel injection signal. The signal can provide the reference data for automobile fault diagnosis and repair. At the same time the reference data can be used for automobile routine maintenance. The device can also be used to display the real-time fuel consumption and modify drivers' driving habits with the automobile running.
设计了一种基于单片机的汽车燃油喷射信号检测装置。该装置可用于采集汽车燃油喷射信号。该信号可为汽车故障诊断和维修提供参考数据。同时为汽车的日常维护提供参考数据。该装置还可以实时显示燃油消耗量,并随着汽车的运行改变驾驶员的驾驶习惯。
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引用次数: 1
Application of intelligence information fusion technology in agriculture monitoring and early-warning research 智能信息融合技术在农业监测预警研究中的应用
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7166013
Zhuang Jiayu, Xu Shiwei, Li Zhemin, Chen Wei, Wang Dongjie
This paper introduces a dynamic feedback crop simulation system used to simulate and forecast the growth of crops. It was known that a precise and effective crop simulation was beneficial for the investigating of crops' growth and production forecast. The real-time monitoring data applied for this simulation system was derived from Agriculture monitoring and early-warning research space (AMERS) which was established by Agriculture Information Institute of Chinese Academy of Agricultural Sciences. A more accurate and valid simulation system is proposed in this paper, by improving the system of agriculture model with the collected data. The corrected model is able to predict the crop's growth and yields more accurately. During the lifecycle of the whole crops the model is corrected and predicted continuously until the simulated data is highly consistent with the real data. The collected data can be used as the input of the simulation, and the corrected model for real-time feedback. A growth index which was calculated by the monitoring data used to measure the growth of crops was proposed. This growth index will responded to the crops simulation model for system amendment. The result of late growth and yield forecasting will be updated by the revised model. Two applications of this system were briefly introduced.
本文介绍了一种用于模拟和预测作物生长的动态反馈作物模拟系统。准确有效的作物模拟有利于作物生长发育的研究和产量的预测。仿真系统实时监测数据来源于中国农业科学院农业信息研究所建立的农业监测预警研究空间(AMERS)。本文利用采集到的数据对农业模型系统进行改进,提出了一个更加准确有效的模拟系统。修正后的模型能够更准确地预测作物的生长和产量。在整个作物的生命周期中,不断修正和预测模型,直到模拟数据与实际数据高度一致。采集到的数据可以作为仿真的输入,并将修正后的模型进行实时反馈。提出了一种利用监测数据计算作物生长指标的方法。该生长指数将响应作物模拟模型进行系统修正。后期生长和产量预测结果将由修正后的模型更新。简要介绍了该系统的两种应用。
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引用次数: 17
An intention based manipulation method of large models in virtual environment 虚拟环境中基于意图的大型模型操作方法
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7166033
Wang Dawei, Yang Hongyan
This paper proposes a big-span position tracking algorithm based on pre-position time series to determine the user operation intention in virtual environment. Some problems, such as lost subject and inconvenient operation, when a tracker is working on big-scale models, like an airplane or a ship, can't be solved well in an immersive virtual reality system. Based on the moving trajectory and speed of a tracker in a unit of time span, the tracking algorithm is a plus to the mainstream relative position algorithm. The algorithm can tell the magnitude and intensity of a user's operation. It makes it especially convenient to display large-scale models in the CAVE system. Cases are used in this thesis to prove the effectiveness and convenience of this algorithm.
提出了一种基于预定位时间序列的大跨度位置跟踪算法,以确定虚拟环境中用户的操作意图。当跟踪器在飞机或轮船等大型模型上工作时,一些问题,如对象丢失和操作不便,在沉浸式虚拟现实系统中无法很好地解决。该跟踪算法基于跟踪器在单位时间跨度内的运动轨迹和速度,是主流相对位置算法的一个优点。该算法可以判断用户操作的大小和强度。这使得在CAVE系统中显示大尺度模型特别方便。本文通过实例验证了该算法的有效性和方便性。
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引用次数: 0
Kinematics of parallel mechanism based robot manipulator with passive joints variables 基于被动关节变量的并联机器人机械手运动学
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7165994
J. Prajapati
Because of potential benefits like, structural rigidity, good dynamic performance and positioning accuracy, parallel mechanism based robot manipulators became more popular over the serial mechanism based robot manipulators. The forward kinematics of parallel mechanism is complex in comparison to the serial mechanism. This paper presents the forward instantaneous kinematics of a six degree of freedom parallel robot manipulator. Three non linear points are considered on the end effector. The presented method is based on the velocities of these points. A numerical example is solved to demonstrate the solution process.
并联机构机器人由于具有结构刚性好、动态性能好、定位精度高等优点,比串联机构机器人更受青睐。与串联机构相比,并联机构的正运动学更为复杂。本文给出了一种六自由度并联机器人的正瞬运动学。考虑末端执行器上的三个非线性点。所提出的方法是基于这些点的速度。通过数值算例说明了求解过程。
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引用次数: 3
An investigation on the application of fuzzy and PID algorithm in the two wheeled robot with self balancing system using microcontroller 研究了模糊PID算法在单片机控制的两轮机器人自平衡系统中的应用
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7166003
Adik S. Wardoyo, S. Hendi, D. Sebayang, I. Hidayat, A. Adriansyah
The Fuzzy logic combined with PID control is designed to implement the effect of a disturbance force varying in magnitude, position, and duration to optimize the two wheeled and self-balancing robot. Matlab software was used to obtain Simulink-simulation of the experiment process. The simulation results shows that PID parameters that obtained from the use of auto-tuning is Kp = 16.60, Ki = 8.47, and Kd = 8.90. The simulation results of Fuzzy and PID combination shows that the error can be reduce approximately around 60 %. It is indicated that the Fuzzy logic with PID was better to reduce error in Two Wheeled and Self Balancing Robot than using Fuzzy logic.
设计了模糊逻辑与PID控制相结合的方法,实现了扰动力大小、位置和持续时间的变化,对两轮自平衡机器人进行了优化。利用Matlab软件获取simulink对实验过程进行仿真。仿真结果表明,采用自整定方法得到的PID参数Kp = 16.60, Ki = 8.47, Kd = 8.90。仿真结果表明,模糊控制与PID控制相结合可使控制误差减小约60%。结果表明,与模糊逻辑相比,模糊逻辑与PID相结合能更好地减小两轮自平衡机器人的误差。
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引用次数: 15
A hybrid edge recombination approach to solve price collecting vehicle routing problem 一种混合边缘重组方法解决收费车路线问题
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7166031
Anurag Tiwari, Gouthaman Elangovan, P. Chang, S. Annadurai
In this paper, we consider a Prize Colleting Vehicle Routing Problem (PCVRP). Prize collecting Vehicle Routing Problem is a Variant of Vehicle routing Problem. One of the major concerns of the Prize collecting Vehicle routing problem is that all customers need not to be visited compulsory, but prize must be collected from each customer visited and a penalty has to be paid for every unvisited customer. To guarantee good customer satisfaction, the demand of all visited customers should reach a pre specified value. The objective of this paper is minimization of total distance and total cost of schedule by maximizing the total prize collected by each customers. We have proposed a Hybrid edge recombination approach to solve the PCVRP. To avoid the bias we compare the result with other well know evolutionary algorithm. Computational result shows that the proposed methodology has the promising result.
在本文中,我们考虑一个奖品收集车辆路线问题(PCVRP)。车辆路线问题是车辆路线问题的一种变体。车辆路线问题的一个主要问题是,不必强制拜访所有客户,但必须从每个拜访的客户那里收取奖品,并为每个未拜访的客户支付罚款。为了保证良好的客户满意度,所有拜访客户的需求都应该达到预定的值。本文的目标是通过最大化每个客户收集的总奖励来最小化总距离和总成本。我们提出了一种混合边缘重组方法来解决PCVRP问题。为了避免偏差,我们将结果与其他已知的进化算法进行了比较。计算结果表明,该方法具有良好的效果。
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引用次数: 4
A hybrid two-stage sweep algorithm for capacitated vehicle routing problem 有能力车辆路径问题的混合两阶段扫描算法
Pub Date : 2015-05-20 DOI: 10.1109/ICCAR.2015.7166030
Meng-Hui Chen, Ching-Ying Chiu, P. Chang, S. Annadurai
Capacitated Vehicle Routing Problem (CVRP) is a variant of Vehicle Routing Problem (VRP), where CVRP is only considered the capacity restrictions, and the object is to minimize the cost of the vehicles serve all customers. In this study, we proposed an approach which is hybrid two-phase sweep algorithm (SA) and greedy search for solving CVRP. At the first stage of SA, all customers are clustered by SA and define each cluster as a block. The second stage is to reconstruct each neighbour clusters based on the first stage. Then the greedy search is applied to minimize the cost of each vehicle. Finally, the computational result on standard instances show the proposed approach is effective.
有能力车辆路线问题(Capacitated Vehicle Routing Problem, CVRP)是车辆路线问题(Vehicle Routing Problem, VRP)的一种变体,CVRP只考虑车辆的容量限制,其目标是车辆为所有顾客服务的成本最小。在本研究中,我们提出了一种混合两相扫描算法(SA)和贪心搜索的求解CVRP的方法。在SA的第一阶段,所有客户都被SA聚类,并将每个集群定义为一个块。第二阶段是在第一阶段的基础上重构每个相邻簇。然后应用贪婪搜索最小化每辆车的成本。最后,在标准实例上的计算结果表明了该方法的有效性。
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引用次数: 6
期刊
2015 International Conference on Control, Automation and Robotics
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