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Hybrid derivative-free EKF for USBL/INS tightly-coupled integration in AUV 水下航行器USBL/INS紧密耦合集成的混合无导数EKF
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547035
Y. Geng, J. Sousa
This paper presents a novel hybrid derivative-free extended Kalman filter, which takes advantage of both the linear time propagation of the Kalman filter and nonlinear measurement propagation of the derivative-free extended Kalman filter. The proposed filter is very suitable for the tightly coupled integration navigation system which consists of USBL or GPS with INS. The computation burden is reduced sharply compare to nonlinear estimation method such as the unscented Kalman filter (UKF). Simulations are conducted to illustrate the effectiveness of the proposed Kalman filter. The performance of the novel filter is as good as that of the UKF in integration navigation.
本文提出了一种新的混合无导数扩展卡尔曼滤波器,它利用了卡尔曼滤波器的线性时间传播特性和无导数扩展卡尔曼滤波器的非线性测量传播特性。该滤波器适用于由USBL或GPS与INS组成的紧密耦合集成导航系统。与无气味卡尔曼滤波(UKF)等非线性估计方法相比,计算量大大减少。仿真结果验证了所提卡尔曼滤波器的有效性。该滤波器在集成导航中的性能与UKF相当。
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引用次数: 10
Automated planning of tutorial dialogues 教程对话的自动规划
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547015
A. Rahati, F. Kabanza
Managing a dialogue between a student and an intelligent tutoring system is a challenging problem for many applications. It has often been argued and demonstrated that adaptive dialogues between a user and a computer can be generated automatically, using automated planning techniques to plan speech acts. To date such plan-based dialogue generation approaches have relied on deterministic planning algorithms. Consequently they can only handle sequential dialogue structures. In this paper we describe a new approach for automatically planning more general tree-like dialogue structures, by using a nondeterministic planner with incomplete knowledge and sensing. Our approach takes into account incomplete information about the user's knowledge by including queries that the computer can ask to the user to gather missing information that is necessary for an effective feedback. We illustrate our system with an application to an intelligent tutoring system for medical diagnosis.
管理学生和智能辅导系统之间的对话对许多应用程序来说是一个具有挑战性的问题。人们经常争论并证明,用户和计算机之间的自适应对话可以自动生成,使用自动规划技术来规划语音行为。迄今为止,这种基于计划的对话生成方法依赖于确定性规划算法。因此,它们只能处理顺序对话结构。在本文中,我们描述了一种新的方法来自动规划更一般的树状对话结构,使用不完全知识和传感的不确定性规划器。我们的方法考虑到关于用户知识的不完整信息,包括计算机可以向用户询问的查询,以收集有效反馈所必需的缺失信息。我们通过一个医疗诊断智能辅导系统的应用来说明我们的系统。
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引用次数: 4
A testbed platform for assessing human-robot verbal interaction 一个评估人机语言交互的测试平台
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547031
Hassene Bouraoui, A. Khamis, F. Karray
Verbal interaction provides a natural and social-style interaction mode by which robots can communicate with general public who is likely unknowledgeable in robotics. This interaction mechanism is also very important for a broad range of users such as hands/eyes-busy users, motor-impaired users, users with vision impairment and users working in hostile environments. This paper presents a testbed that can be used to study human-robot verbal interaction. The proposed testbed encompasses a Java-based user interfaces and a user-independent automatic speech recognizer with a modified grammar module in the context of human-robot interaction. The performance of the proposed testbed has been evaluated quantitatively using a set of evaluation metrics such as word correct rate, recognition Time and success and false action rates. The conducted experiments show the promising features of the system.
语言交互提供了一种自然的、社交式的交互模式,通过这种模式,机器人可以与可能不了解机器人技术的公众进行交流。这种交互机制对于手/眼忙用户、运动障碍用户、视力障碍用户和在恶劣环境中工作的用户等广泛的用户也非常重要。本文提出了一个可用于研究人机语言交互的测试平台。所提出的测试平台包括一个基于java的用户界面和一个独立于用户的自动语音识别器,该自动语音识别器带有人机交互环境中修改的语法模块。使用一组评估指标,如单词正确率、识别时间、成功率和误动作率,对所提出的测试平台的性能进行了定量评估。实验结果表明,该系统具有良好的应用前景。
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引用次数: 2
Efficient deployment of connected sensing devices using circle packing algorithms 使用圆形封装算法的连接传感设备的有效部署
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547023
R. Ramadan, S. Abdel-Mageid
In this paper, we explore different sensor deployment problems and how these problems can be solved optimally using the current packing approaches in terms of small-scale problems. In addition, we consider the deployment of either homogenous or heterogeneous sensing devices. The deployment objectives are to maximize the coverage of the monitored field and use the best of the sensing devices characteristics as well as developing a connected deployment scheme. We propose a novel algorithm named Sequential Packing-based Deployment Algorithm (SPDA) for the deployment of heterogeneous sensors in order to maximize the coverage of the monitored field and connectivity of the deployed sensors. The algorithm is inspired from the packing theories in computational geometry where it benefits from many of the observations properties that are captured from the optimal packing solutions. The algorithm efficiency is examined using different case studies.
在本文中,我们探讨了不同的传感器部署问题,以及如何在小规模问题中使用当前的包装方法最佳地解决这些问题。此外,我们考虑了同质或异质传感装置的部署。部署目标是最大限度地覆盖被监测的领域,利用传感设备的最佳特性,并制定一个连接的部署方案。本文提出了一种基于顺序封装的异构传感器部署算法(Sequential Packing-based Deployment algorithm, SPDA),以最大限度地提高所部署传感器的连通性和监测范围。该算法的灵感来自计算几何中的填充理论,它受益于从最优填充解决方案中捕获的许多观测属性。通过不同的案例研究验证了算法的有效性。
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引用次数: 8
A software framework for multi-agent control of multiple autonomous underwater vehicles for underwater mine counter-measures 针对水雷对抗的多自主水下航行器多智能体控制软件框架
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547032
Howard Li, Alexandru Popa, Carl Thibault, M. Trentini, M. Seto
In this study, a novel robot control framework is presented for multiple autonomous underwater vehicles. In this framework, we incorporate sonar sensor data and integrated navigation system position data in a simulation environment, called UNBeatable-Sim, where complex control behaviors can be executed and analyzed. UNBeatable-Sim is developed by the COllaboration Based Robotics and Automation (COBRA) research group at the University of New Brunswick, Canada. Range and pose sensor data are accumulated in an ocean environment constructed using seabed data collected at Bedford Basin, Nova Scotia, Canada by DRDC Atlantic. A seabed map is generated from the real-world data using UNBeatable-Sim. The underwater vehicle and the seabed are simulated and visualized using OpenGL. An external controller implemented using Matlab and Simulink is used to control the robot model. Simulations of multiple underwater vehicles to navigate in the ocean environment to sense and map the seabed are performed using UNBeatable-Sim to assess the system architecture and controller performance.
本文提出了一种针对多自主水下航行器的新型机器人控制框架。在这个框架中,我们将声纳传感器数据和综合导航系统位置数据整合到一个名为UNBeatable-Sim的模拟环境中,在这个环境中可以执行和分析复杂的控制行为。UNBeatable-Sim是由加拿大新不伦瑞克大学基于协作的机器人和自动化(COBRA)研究小组开发的。距离和姿态传感器数据是在加拿大新斯科舍省贝德福德盆地收集的海底数据构建的海洋环境中积累的。使用UNBeatable-Sim从真实世界的数据生成海底地图。利用OpenGL对水下航行器和海底进行了仿真和可视化。利用Matlab和Simulink实现的外部控制器对机器人模型进行控制。使用UNBeatable-Sim对多个水下航行器在海洋环境中导航以感知和绘制海底地图进行了模拟,以评估系统架构和控制器性能。
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引用次数: 18
Sensorless control for synchronous motors 同步电机无传感器控制
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547028
L. Veselý, P. Zbranek
Permanent magnet synchronous motors are used in many industrial applications because they have several inherent advantages. However, information about the rotor position is necessary even to be able to control drive speed. Conventional speed and position detection uses encoder and resolver. These sensors significantly increase price, weight, and degrade reliability. Therefore many authors publish papers about algorithms for rotor position and speed estimation. One of state estimation possibility is using extended Kalman filter. Conventional algorithms based on EKF are developed using a simple model of permanent magnet synchronous motor, thereby provide bad performance in the low speed range. Extended Kalman filter using an interior permanent magnet synchronous motor model is described in this paper. This model makes possible for EKF to operate in low speeds. Second part of this paper describes an algorithm Model Reference Adaptive system (MRAS).
永磁同步电动机由于具有几个固有的优点,在许多工业应用中得到了应用。然而,有关转子位置的信息是必要的,甚至能够控制驱动速度。传统的速度和位置检测使用编码器和解析器。这些传感器显著增加了价格和重量,降低了可靠性。因此,许多作者发表了关于转子位置和转速估计算法的论文。一种状态估计的可能性是使用扩展卡尔曼滤波。传统的基于EKF的算法是基于一个简单的永磁同步电机模型开发的,因此在低速范围内性能较差。本文介绍了一种基于内置永磁同步电机模型的扩展卡尔曼滤波。这种模式使EKF在低速下运行成为可能。第二部分介绍了一种模型参考自适应系统(MRAS)算法。
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引用次数: 1
A decision model of stroke patient rehabilitation with augmented reality-based games 基于增强现实游戏的脑卒中患者康复决策模型
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547014
A. Alamri, Heung-Nam Kim, Abdulmotaleb El Saddik
Computer-based systems for stroke rehabilitation can potentially reduce complexity in rehabilitation processes. One of important issues among the rehabilitation systems is how to continuously evaluate patient's performances from such systems. Without a proper measurement for patient's performance, therapists suffer from accurate decision making in patient treatments. Therefore, the main focus of this paper is to develop a rehabilitation system that can minimize therapist supervision. To this end, we develop augmented reality-based rehabilitation system that can automatically capture patients' performance as well as visually monitor patients' progress. We also propose performance measurements of patients to improve decision making abilities of therapists. By analyzing performance data, we discover useful rules for further enhancement of the patients' treatment plan.
基于计算机的脑卒中康复系统可以潜在地降低康复过程的复杂性。康复系统的一个重要问题是如何从这些系统中持续评估患者的表现。如果对病人的表现没有适当的衡量,治疗师在病人的治疗中就无法做出准确的决策。因此,本文的主要重点是开发一种可以最大限度地减少治疗师监督的康复系统。为此,我们开发了基于增强现实的康复系统,该系统可以自动捕捉患者的表现,并以视觉方式监测患者的进展。我们还提出了患者的绩效测量,以提高治疗师的决策能力。通过对绩效数据的分析,我们发现了进一步提高患者治疗方案的有用规律。
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引用次数: 8
Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature 利用神经网络和演化表面肌电信号特征预测局部肌肉疲劳时间
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547025
M. Al-Mulla, F. Sepulveda
Surface Electromyography (sEMG) activity of the biceps muscle was recorded from nine subjects. Data were recorded while subjects performed dynamic contraction until fatigue. The signals were initially segmented into two parts (Non-Fatigue and Transition-to-Fatigue) to enable the evolutionary process. A novel feature was evolved by selecting then using a combination of the eleven sEMG muscle fatigue features and six mathematical operators. The evolutionary program used the DB index in its fitness function to derive the best feature that best separate the two segments (Non-Fatigue and Transition-to-Fatigue), for both Maximum Dynamic Strength (MDS) percentage of 40 and 70 MDS. Using the evolved feature we enabled an ANN to predict the time to fatigue by using only twenty percent of the total sEMG signal with an average prediction error of 9.22%.
记录了9名受试者肱二头肌的表面肌电活动。在受试者进行动态收缩直至疲劳时记录数据。信号最初被分割成两部分(非疲劳和过渡到疲劳),以实现进化过程。通过将11个表面肌电信号肌肉疲劳特征和6个数学算子的组合进行选择,形成了一个新的特征。进化程序在其适应度函数中使用DB指数来得出最大动态强度(MDS)百分比为40和70 MDS的最佳特征,以最佳地分离两个部分(非疲劳和过渡到疲劳)。利用进化的特征,我们使人工神经网络能够仅使用总表面肌电信号的20%来预测疲劳时间,平均预测误差为9.22%。
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引用次数: 11
Evaluating approaches to adaptive landscape visualization construction 适应性景观可视化构建的评价方法
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547037
Robert Collier, M. Wineberg
The construction of an adaptive landscape visualization entails the representation of the higher dimensional chromosome space onto a two-dimensional plane from which a depiction of the landscape can be created. Although it can sometimes be difficult to justify the investment of computational expense necessary to perform this representation properly, Van Wijk's visualization model is ideally suited for use as a framework in which to compare different adaptive landscape visualizations. This model is used to demonstrate that an adaptive landscape visualization that is constructed with an established multidimensional scaling technique will result in a visualization that imparts more accurate insights, and is thus more valuable, than one that does not first attempt a multidimensional scaling of the chromosome space.
自适应景观可视化的构建需要将高维染色体空间表示到二维平面上,从中可以创建景观的描述。虽然有时很难证明正确执行这种表示所需的计算费用的投资是合理的,但Van Wijk的可视化模型非常适合用作比较不同自适应景观可视化的框架。该模型用于证明,与不首先尝试染色体空间的多维缩放相比,使用已建立的多维缩放技术构建的自适应景观可视化将产生更准确的见解,因此更有价值。
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引用次数: 0
Reallocations in teams of UAVs using dynamic programming and mixed initiative interactions 基于动态规划和混合主动交互的无人机团队再分配
Pub Date : 2010-06-21 DOI: 10.1109/AIS.2010.5547022
E. Pereira, J. Sousa
We discuss the problem of dynamic reallocation of vehicles among teams of Unmanned Air Vehicles (UAV) executing concurrently. Each team addresses a task that consists of a sequence of subtasks to be executed in an adversary environment, where the vehicles face the risk of becoming inoperative. Our approach consists on separating the problem into a planning procedure followed by an optimal control problem, which is solved using stochastic dynamic programming (DP). We consider mixed-initiative interactions, where human operators are able to tune parameters of the problem according to their experience. The main goal of execution control is to balance the performance of teams in order to increase the success of the overall mission.
讨论了并行执行的无人飞行器(UAV)团队之间的车辆动态再分配问题。每个小组处理一个由一系列子任务组成的任务,这些任务将在敌对环境中执行,在这种环境中,车辆面临着失效的风险。我们的方法包括将问题分解为一个规划过程,然后是一个最优控制问题,该问题使用随机动态规划(DP)来解决。我们考虑混合主动交互,其中人类操作员能够根据他们的经验调整问题的参数。执行控制的主要目标是平衡团队的绩效,以增加整个任务的成功。
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引用次数: 2
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自主智能系统(英文)
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