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Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499)最新文献

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Stability region estimation of hybrid multi-machine power system 混合多机电力系统的稳定域估计
F.M.A. Ghali, M. Said Abd El Motelb
The stability problem of the hybrid system under expected operating conditions is investigated using the decomposition aggregation technique. The hybrid power system considered consists of conventional synchronous generating plants, a wind park composed of certain number of wind turbines coupled with synchronous generators, and interconnected transmission lines. The new technique based on Bellman's concept of vector Lyapunov function is adopted. An advanced approach is proposed: the triple-wise decomposition-aggregation for a multi-machines hybrid power system, considering the transfer conductance and uniform damping. For this algorithm the system is decomposed into (n-1)/2 three-machine subsystems for odd number of machines, or (n-2)/2 three-machine plus one two-machine subsystems for even number of machines. Six nonlinearities are considered for each free subsystem. The domain of attraction is estimated to study the effect of introducing non-conventional energy source.
利用分解聚合技术研究了混合系统在预期工况下的稳定性问题。所考虑的混合电力系统由传统的同步发电厂、由一定数量的风力发电机和同步发电机组成的风电场以及相互连接的输电线路组成。采用了基于Bellman矢量Lyapunov函数概念的新方法。针对多机混合电力系统,提出了一种考虑传递电导和均匀阻尼的三向分解聚合方法。对于机器数量为奇数的系统,将系统分解为(n-1)/2个三机子系统;对于机器数量为偶数的系统,将系统分解为(n-2)/2个三机加一个两机子系统。每个自由子系统考虑了六个非线性。通过对引力域的估计来研究引入非常规能量的影响。
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引用次数: 2
Development of simultaneous measurement system of incipient slip and grip/load force 初滑力与握持载荷力同步测量系统的研制
M. Tada, M. Imai, Tsukasa Ogasawara
This paper presents a simultaneous measurement system of incipient slip, which is considered to have explicit relation with force control, and grip/load force while grasping objects. The system composed of a translucent acrylic plate sustained by a 6-axis force-torque sensor, and a monocular camera inside the acrylic plate to observe the contact region. We realize the measurement of incipient slip by tracking dot patterns drawn on finger tip of the subjects. Measured data while subjects are lifting the device with their thumb and index finger, against proportionally increasing force are also presented. The experimental results suggest that the mean slip has analogous profile even though the frictional condition differs. The results of this research are useful not only when clarifying mechanism of force control, but designing control criteria for dexterous manipulation using robot hand covered with elastic tactile sensors.
提出了一种初始滑移的同步测量系统,该系统考虑了初始滑移与力控制和抓取物体时的抓持力/载荷力之间的显式关系。该系统由6轴力-扭矩传感器支撑的半透明亚克力板和亚克力板内部的单目摄像头组成,用于观察接触区域。我们通过跟踪在被试指尖绘制的点图形来实现对早期滑移的测量。当受试者用拇指和食指举起设备时,测量数据也会被呈现出来。实验结果表明,在不同的摩擦条件下,平均滑移具有相似的分布。研究结果不仅有助于阐明力的控制机理,而且有助于设计带弹性触觉传感器的机械臂灵巧操作的控制准则。
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引用次数: 7
A human motion analysis using the rhythm - a estimate method of dance motion with autoregressive model 基于节奏的人体运动分析——一种基于自回归模型的舞蹈动作估计方法
K. Kojima, T. Otobe, M. Hironaga, S. Nagae
We aims to reproduce the Japanese traditional dance motion recorded in image database. We propose an estimate method of dance motion using the autoregressive model. In statistical motion estimation with the autoregressive model, the decision of degree is a very important. To decide the suitably degree, we define the "rhythm points" or the time of starting and ending of the motion. We refer to it as the "cycle of every motion" or a number of the frame between three rhythm points. To compare our method with others, we applied two methods: the first method decides the degree from AIC (Akaike's information criterion); and the second method, which we proposed, decides the degree from the cycle of the motion. We introduce the term "decision of suitably degree for a estimate method of dance motion". A good result for an estimate of dance motion was achieved.
我们的目标是再现图像数据库中记录的日本传统舞蹈动作。提出了一种基于自回归模型的舞蹈动作估计方法。在自回归模型的统计运动估计中,度的确定是一个非常重要的问题。为了确定合适的程度,我们定义了“节奏点”或运动开始和结束的时间。我们把它称为“每一个动作的周期”或三个节奏点之间的帧数。为了与其他方法进行比较,我们采用了两种方法:第一种方法是根据AIC(赤池信息准则)来确定程度;第二种方法,我们提出的,从运动的周期来确定度。引入了“舞蹈动作估计方法的适宜度判定”这一术语。对舞蹈动作的估计取得了较好的结果。
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引用次数: 2
Integration model of learning mechanism and dialogue strategy based on stochastic experience representation using Bayesian network 基于贝叶斯网络随机经验表示的学习机制与对话策略集成模型
T. Inamura, M. Inaba, H. Inoue
We propose a method for personal robots to acquire autonomous behaviors gradually based on interaction between human and robots. In this method, behavior decision models and dialogue control models are integrated using Bayesian networks. This model can treat interaction experiences using statistical processes, and sureness of decision making is represented by certainty factors using stochastic reasoning. The robots not only decide behavior, but also make suggestions to and ask questions of the user using the certainty factors. Consequently, the certainty factors enable the behavior acquisition to be more effective. We investigate the feasibility of this method with obstacle avoidance tasks for mobile robots. Through experiments on a real mobile robot, we have confirmed that the mobile robot acquires robust behavior decision models against changes of environment and uncertainties of sensors, with only a few teaching and learning sessions.
我们提出了一种基于人与机器人交互的个人机器人逐渐获得自主行为的方法。该方法利用贝叶斯网络将行为决策模型和对话控制模型相结合。该模型使用统计过程处理交互经验,决策的确定性用随机推理的确定性因子表示。机器人不仅决定行为,还利用确定性因素向用户提出建议和提问。因此,确定性因素使行为习得更有效。研究了该方法在移动机器人避障任务中的可行性。通过在真实移动机器人上的实验,我们证实了移动机器人只需少量的教与学,就能获得针对环境变化和传感器不确定性的鲁棒行为决策模型。
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引用次数: 17
A comparative study between on-line and off-line navigations on intelligent transportation system 智能交通系统在线与离线导航的比较研究
K. Kinugawa, H. Noborio
In this paper, we compare off-line and online path-planning algorithms and seek for a possibility to design an efficient path-planning algorithm for multiple mobile robots. In general, an off-line path-planning algorithm always selects the shortest path for a robot, but it is time consuming because of combination search. On the other hand, an online path-planning algorithm quickly picks up a reasonable path but does not always find any path for a complex swarm of encountered robots. In this research, we compare two different path-planning algorithms with each other, and describe a possibility to develop their fusion path-planning algorithm for multiple mobile robots.
在本文中,我们比较了离线和在线路径规划算法,并寻求设计一种有效的多移动机器人路径规划算法的可能性。一般情况下,离线路径规划算法总是为机器人选择最短路径,但由于需要进行组合搜索,耗时较长。另一方面,在线路径规划算法可以快速地选择一条合理的路径,但对于复杂的机器人群来说,并不总是能找到任何路径。在本研究中,我们比较了两种不同的路径规划算法,并描述了一种开发多移动机器人融合路径规划算法的可能性。
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引用次数: 1
Variation of initial grasping force with, length of an object 初始抓握力随物体长度的变化
A. Dutta, G. Obinata
We investigate the variation of the initial grasping force of humans with the size of an object. The initial force is defined as the force applied by the fingers just before an object is lifted from the surface. Experiments were carried out in which subjects were asked to lift different objects, using a two-fingered precision grip, while the rest of the arm was stationary. The length or the weight of the objects were changed in each lifting trial. In the absence of visual cues the applied initial finger forces can be attributed to the motor control strategy decided by the brain, based on the afferent sensory information obtained from the finger tip sensors. It is reasonable to expect that there is some functional relation between the initial force and the size of an object. Our goal was to understand more about this relation or reasoning system, which is utilized by the computational process presumed to underlie sensory-motor behaviour. From the experimental results it appears that when humans grasp different objects the initial grasping force increases with object size, although this increase is nonlinear.
我们研究了人类初始抓握力随物体大小的变化。初始力被定义为手指在物体从表面提起之前所施加的力。在实验中,受试者被要求用两只手指精确地握住不同的物体,而手臂的其他部分保持静止。在每次举重试验中,改变物体的长度或重量。在没有视觉线索的情况下,施加的初始手指力可以归因于大脑根据从指尖传感器获得的传入感觉信息决定的运动控制策略。我们有理由认为,初始力与物体的大小之间存在某种函数关系。我们的目标是更多地了解这种关系或推理系统,它被认为是感觉运动行为基础的计算过程所利用。从实验结果可以看出,当人类抓取不同的物体时,初始抓取力随着物体尺寸的增大而增大,但这种增大是非线性的。
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引用次数: 2
Localization and approaching to the human by mobile home robot 移动家庭机器人对人的定位与接近
Shiry Saeed, Ghidary, Y. Nakata, Toshi Takamori, M. Hattori
This paper introduces a robotic system that uses a PTZ camera to find the human in the room and locate its position. Then the robot is guided to go near to the human. This includes human detection and localization, robot localization and robot navigation. Human's head and face is detected by using a combination of motion detection, shape analysis and color information. The 3D position of human's head and face is estimated by using the depth from focus method. For robot localization we use a very fast measuring system that utilizes ultrasonic and infrared signals simultaneously. For robot navigation we use a map of environment consisting of doors, walls and static objects. After locating human and robot a visibility graph is searched for the shortest path and obstacle avoidance is done in a reflexive method using ultrasonic sensors.
本文介绍了一种机器人系统,该系统利用PTZ摄像机来寻找房间中的人并确定其位置。然后引导机器人靠近人类。这包括人类检测和定位,机器人定位和机器人导航。采用运动检测、形状分析和颜色信息相结合的方法对人的头部和面部进行检测。利用聚焦深度法对人体头部和面部的三维位置进行估计。对于机器人定位,我们使用一个非常快速的测量系统,同时利用超声波和红外信号。对于机器人导航,我们使用由门、墙和静态物体组成的环境地图。在对人和机器人进行定位后,利用超声波传感器搜索最短路径的可见性图,并采用自反的方法进行避障。
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引用次数: 11
A method for supporting Web page design based on impression of Web page 一种基于网页印象的网页设计支持方法
M. Watanabe, T. Yoshida, N. Saiwaki, S. Nishida
This paper proposes an approach for Web page design support by focusing on the impression of Web page with respect to the selection of color and font. Previous approaches for Web page design support often focus on the automation of HTML coding and the pasting of graphics and icons. However, the selection of color and font also greatly affect the impression of Web page even with the same (information) content. The implemented system with the proposed support method tries to acquire the taste or preference of the user from the Web pages which are selected by him/her during net surfing and utilize it for Web page design with the preferred impression.
本文从颜色和字体的选择入手,提出了一种支持网页设计的方法。以前的Web页面设计支持方法通常侧重于HTML编码的自动化以及图形和图标的粘贴。然而,即使是相同的(信息)内容,颜色和字体的选择也会极大地影响网页的印象。采用所提出的支持方法实现的系统试图从用户上网时选择的网页中获取用户的品味或偏好,并将其用于具有偏好印象的网页设计。
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引用次数: 0
EventScope: amplifying human knowledge and experience via intelligent robotic systems and information interaction 活动范围:通过智能机器人系统和信息交互,扩大人类的知识和经验
P. Coppin, R. Pell, M. Wagner, J. R. Hayes, Junlei Li, L. Hall, K. Fischer, D. Hirschfiefd, W. Whittaker
The EventScope program develops publicly accessible "reality browsers" that display both archived and updating representations of remote environments derived from on-site robotic sensors. The interface encourages collaborative work within a community of users. Public exploration of real remote sites presents a variety of interface issues addressed by EventScope, including time delay, public exploration via a single robot and communication between geographically separate users from diverse backgrounds. Merging public interface with educational and contextual information extends the notion of "interface" to "remote reality library." EventScope is a NASA and private foundation funded project based at Carnegie Mellon University.
EventScope项目开发了可公开访问的“现实浏览器”,可以显示来自现场机器人传感器的远程环境的存档和更新表示。该界面鼓励用户社区内的协作工作。对真实远程站点的公共探索提出了EventScope解决的各种接口问题,包括时间延迟,通过单个机器人进行公共探索以及不同背景的地理位置分开的用户之间的通信。将公共接口与教育和上下文信息合并,将“接口”的概念扩展为“远程现实库”。EventScope是美国宇航局和私人基金会资助的一个项目,总部设在卡内基梅隆大学。
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引用次数: 14
A behavior-based architecture for the control of an intelligent powered wheelchair 一种基于行为的智能轮椅控制体系结构
Xueen Li, Xiaojian Zhao, T. Tan
Autonomous robot architectures typically fall within two camps, top-down symbolic AI systems, and physically grounded bottom-up reactive systems. In this paper, we present a novel behavior fusion based architecture for the control of an intelligent powered wheelchair, which takes advantage of the modularity presented by the reactive bottom-up design, the inference mechanism of symbolic AI systems, and the flexibility of the layered architecture. Thus, this control architecture of wheelchair can realize the multi-level information fusion and facilitates task and information sharing and trading between man and machine. In addition, the basic behaviors and their fusion algorithm are also described.
自主机器人架构通常分为两个阵营,自上而下的符号AI系统和基于物理的自下而上的反应系统。本文提出了一种基于行为融合的智能轮椅控制体系结构,该体系结构充分利用了自底向上响应式设计的模块化、符号人工智能系统的推理机制和分层体系结构的灵活性。因此,这种轮椅控制体系结构可以实现多层次的信息融合,方便人机之间的任务和信息共享与交易。此外,还描述了其基本行为及其融合算法。
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引用次数: 5
期刊
Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499)
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