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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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Learning performance of neuron model based on quantum superposition 基于量子叠加的神经元模型学习性能
N. Kouda, N. Matsui, H. Nishimura
Concerns the use of quantum computer methods to develop a distributed and strongly connectionist system that achieves parallel and fast information processing. We have proposed a qubit-like neuron model based on quantum mechanics and constructed the quantum backpropagation learning rule (QBP). In this paper, we show our improved QBP neural network model and discuss its performance on solving the 4 bit parity check problem, the function and the gray-scale pattern identification problem. Then, we find our model is more excellent than the conventional one in information processing efficiency.
关注使用量子计算机方法开发分布式强连接系统,实现并行和快速的信息处理。提出了一种基于量子力学的类量子比特神经元模型,并构建了量子反向传播学习规则(QBP)。在本文中,我们展示了改进的QBP神经网络模型,并讨论了其在解决4位奇偶校验问题、函数和灰度模式识别问题方面的性能。结果表明,该模型在信息处理效率上优于传统模型。
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引用次数: 25
Trajectory planning for hand-over between human and robot 人与机器人交接的轨迹规划
S. Kajikawa, E. Ishikawa
In the future, there will be many cases where robots should perform cooperative tasks with humans in daily life. We focus on a hand-over motion as an example of cooperative work between a human and a robot, and propose an algorithm which enables a robot to perform a human-like motion. First we analyze trajectories and velocity patterns of a hand-over motion performed by two humans. From this experimental results we notice that a receiver's motion, during hand-over has some typical characteristics. We then confirm that a human-like motion can be generated using these characteristics. Finally, we plan the robot's motion considering these results. Initially, two kinds of potential fields are used to generate a motion command which leads the robot along a trajectory similar to that followed by the human. In addition, more precise motion is considered at the end of the hand-over operation to guarantee accurate positioning and to soften the shock of contact. Experimental results using 2-link planar robot arm show the validity of the proposed method.
在未来的日常生活中,会有很多机器人需要与人类进行合作的情况。我们关注一个移交运动作为人与机器人之间合作工作的一个例子,并提出了一种算法,使机器人能够执行类似人类的运动。首先,我们分析了由两个人执行的移交运动的轨迹和速度模式。从实验结果可以看出,在交接过程中,接球手的运动具有一些典型的特征。然后,我们确认可以使用这些特征生成类似人类的运动。最后,我们根据这些结果来规划机器人的运动。首先,使用两种势场来生成运动命令,使机器人沿着与人类相似的轨迹运动。此外,在移交操作结束时考虑更精确的运动,以保证准确的定位,并软化接触的冲击。基于平面二连杆机械臂的实验结果表明了该方法的有效性。
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引用次数: 13
Interval finite element analysis to structural systems 结构体系的区间有限元分析
M. Matsumoto, Etsuo Iwaya
Structural uncertainties given by intervals are studied within a finite element formulation to determine sharp bounds for the quantities of displacement response. In order to obtain the sharp solution as much as possible, two approaches are proposed here: the interval finite element approach and the optimization approach in which both of displacement and structural uncertainties are variables. Those are applied to the analysis of simple truss structure models with uncertainties of nodal coordinates.
在有限元公式中研究由区间给出的结构不确定性,以确定位移响应量的明确界限。为了尽可能求得尖锐解,本文提出了区间有限元法和位移不确定性和结构不确定性均为变量的优化方法。将这些方法应用于具有节点坐标不确定性的简单桁架结构模型的分析。
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引用次数: 1
Real time object tracking based on retino-cortical mapping 基于视网膜-皮质映射的实时目标跟踪
Satoru Odo, K. Hoshino
Human vision has two areas: one is fovea centralis which is located at the center of visual axis and has high resolution, and the other is the peripheral where the resolution decreases according to the distance from the fovea. This relationship between distance and visual resolution is known as the log polar mapping, which realizes two different functions in central and peripheral visions, respectively. The object is focused and recognized with high resolution in the central vision, but the area is small. However, the objects in a large area are roughly recognized in peripheral vision, with low resolution. We propose the new method of target tracking with log polar mapping adapted to sequential image and with moving-area extraction through the optical flow obtained by the difference image method and generalized gradient-based method. Through our system, the target tracking is realized with high resolution, during short period of processing time, with data processing reduced.
人类的视觉有两个区域:一个是中央凹,它位于视觉轴的中心,分辨率很高;另一个是周边区域,它的分辨率随着距离中央凹的远近而降低。这种距离与视觉分辨率之间的关系被称为对数极坐标映射,它分别在中心视觉和外围视觉中实现两种不同的功能。在中心视觉中,物体以高分辨率聚焦和识别,但区域很小。但周边视觉对大面积物体的识别较为粗略,分辨率较低。提出了适应序列图像的对数极坐标映射和利用差分图像法和广义梯度法获得的光流提取运动区域的目标跟踪新方法。通过该系统,在较短的处理时间内实现了高分辨率的目标跟踪,减少了数据处理。
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引用次数: 3
Formative behavior network for a biped robot; a control system in consideration of motor development 双足机器人的形成性行为网络考虑到运动发展的控制系统
M. Matsuura, M. Wada
The purpose of this paper is to propose a control system which enables a biped robot to walk sideways. The control system, named Formative Behavior Network (FBN), has a structure which consists of movement elements responding to sensory stimuli. We call each element a 'Behavior.' We do not arrange the number of Behaviors nor their parameters beforehand. With appropriate rewards for actions of the robot, the FBN is able to learn to achieve the task even if no Behavior exists at first. In the simulations, the robot implemented with the FBN learned to walk and showed its adaptability to a change of the robot model, such as lengthening its legs. Based on these results, an application to the experimental biped robot also succeeded in the real environment.
本文的目的是提出一种控制系统,使双足机器人能够横向行走。该控制系统被称为形成性行为网络(FBN),其结构由响应感官刺激的运动元素组成。我们称每个元素为“行为”。我们没有事先安排行为的数量及其参数。通过对机器人的动作给予适当的奖励,即使一开始没有行为存在,FBN也能够学习完成任务。在仿真中,利用FBN实现的机器人学会了行走,并表现出对机器人模型变化的适应性,如延长其腿。在此基础上,实验两足机器人在实际环境中的应用也取得了成功。
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引用次数: 2
3D object recognition and grasping for human support robotic system 人支撑机器人系统的三维物体识别与抓取
H. Kobayashi, K. Igawa, T. Bito, K. Kikuchi
In order to develop human friendly robots, we develop a robotic system with a vision system, robot arm and voice recognition system, capable of grasping an object for which a human asks by voice. In this paper we present the 3D object recognition method by silhouette images in the first place. We propose the method to construct 3D object models by silhouette images and use them for making templates in order to undertake the template matching for 3D object recognition by silhouette images. We find that very high correct recognition rate is achieved by this method. We then employ a 4-DOF robot arm with a gripper for grasping the object. We present the method to approach and grasp the object by cooperating with the movement of arm and image obtained from the camera mounted on the tip of the arm. The experiment shows that recognition of the object, approach and grasping it are well undertaken.
为了开发对人类友好的机器人,我们开发了一种具有视觉系统、机械臂和语音识别系统的机器人系统,能够抓取人类语音要求的物体。本文首先提出了基于轮廓图像的三维目标识别方法。提出了利用轮廓图像构建三维物体模型并制作模板的方法,以完成轮廓图像识别三维物体的模板匹配。结果表明,该方法具有很高的正确识别率。然后,我们使用一个带有抓手的4自由度机械臂来抓取物体。提出了一种利用手臂的运动和安装在手臂顶端的摄像机获取的图像来接近和抓取物体的方法。实验表明,该系统对目标的识别、接近和抓取都进行得很好。
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引用次数: 4
Robotic analyses of output force distribution developed by human limbs 由人体四肢发展的机器人输出力分布分析
T. Oshima, T. Fujikawa, O. Kameyama, M. Kumamoto
We propose an introduction of a muscle coordinate system consisting of the bi-articular muscles as well as the mono-articular muscles instead of a conventional joint coordinate system consisting of only the mono-articular muscles without the bi-articular muscles to discuss an interface between man and machine. The output force distribution developed at the wrist joint of the human arm under isometric and maximal effort conditions demonstrates a hexagonal shape. Since complex muscle arrangements of the human arm could be simplified into one antagonistic pair of the bi-articular muscles and two antagonistic pairs of the mono-articular muscles (functionally effective muscular strengths), a robot arm provided with three pairs of muscles was built. The robot arm operated with the muscle coordinate system demonstrated hexagonal shape output force distributions. Whereas, the robot arm operated with the joint coordinate system showed quadrangular output force distributions. A characteristic of the hexagonal force distribution made it possible to evaluate individual functionally effective muscular strengths from the human arm output force distribution. The results obtained here will lead a new virtual human model to be more realistic than the conventional model operated with the joint coordinate system. The idea will also be useful for a human-friendly robot.
我们建议引入一个由双关节肌肉和单关节肌肉组成的肌肉坐标系来代替传统的只有单关节肌肉而没有双关节肌肉的关节坐标系来讨论人机界面。在等距力和最大力条件下,人体手腕关节处的输出力分布呈六边形。由于人类手臂复杂的肌肉结构可以简化为一对对抗性的双关节肌肉和两对对抗性的单关节肌肉(功能性有效肌肉力量),因此构建了具有三对肌肉的机械手臂。采用肌肉坐标系操作的机械臂输出力呈六边形分布。而在关节坐标系下操作的机械臂输出力呈四边形分布。六角形力分布的一个特点使得从人的手臂输出力分布中评估个体功能有效的肌肉力量成为可能。本文的研究结果将使新的虚拟人体模型比传统的基于关节坐标系的模型更真实。这个想法对人类友好型机器人也很有用。
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引用次数: 43
Previous notice method of robotic arm motion for suppressing threat to human 抑制对人威胁的机械臂运动预先通知方法
R. Ikeura, Y. Kawakita, M. Ito, K. Mizutani
Describes about a notification method of robotic arm motion for suppressing threats to humans. The method is evaluated subjectively and the effectiveness is shown. Firstly, it is found that an optimal time for the notification was about one second. Secondly, the effect of several informations for the notification is investigated and the effectiveness is verified. Finally, a threat against the arm configuration is investigated and it is shown that it depends on the number of the moving joints.
描述一种用于抑制对人类威胁的机械臂运动通知方法。对该方法进行了主观评价,证明了该方法的有效性。首先,发现通知的最佳时间约为1秒。其次,研究了几种信息对通知的影响,并验证了其有效性。最后,研究了对机械臂构型的威胁,表明威胁取决于运动关节的数量。
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引用次数: 16
Development of an internally powered functional prosthetic hand with a voluntary closing system and thumb flexion and radial abduction-based on normal human grasping action 内置动力功能假手的开发,具有自主闭合系统和拇指屈曲和桡骨外展,基于正常的人类抓取动作
A. Otsuka, T. Tsuji, O. Fukuda, M. Eisemann Shimizu, M. Sakawa
The purpose of the paper was to introduce an internally powered functional prosthetic hand with a voluntary closing function, which was developed by using robot manipulator technology. From electromyographic and three dimensional analyses of human grasping movements, we found that, if the wrist joint is fixed and the thumb moves in a diagonal direction, the compensation of lifting the shoulder and elbow joints decreases. The experimental results demonstrate that the thumb movements of flexion and radial abduction play an important kinematic role in human grasping movements. Machinery for an internally powered functional prosthetic hand that can drive four fingers with two joints by a single cable is proposed. Tendon transmission in the machinery is useful for the hand to drive the finger joints. We suggest the following results; (1) the hand we developed has passive compliance, (2) and can grasp objects with a cross section of different diameters.
本文的目的是介绍一种利用机械臂技术开发的具有自动闭合功能的内动力功能假手。从人体抓握运动的肌电图和三维分析中,我们发现,如果手腕关节固定,拇指呈对角线方向运动,肩部和肘关节的抬升补偿减小。实验结果表明,拇指屈曲和径向外展运动在人体抓取运动中起着重要的运动学作用。提出了一种可通过一根电缆驱动具有两个关节的四个手指的内部动力功能假手的机械装置。机械中的肌腱传动有助于手带动手指关节。我们建议以下结果:(1)我们开发的手具有被动顺应性,(2)可以抓取不同直径横截面的物体。
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引用次数: 3
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Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499)
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