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2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)最新文献

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Leader-follower formation control using infrared camera with reflective tag 采用带反射标签的红外摄像机进行领导-随从编队控制
Hyeon-woo Park, In-sung Choi, Sung-Kee Park, J. Choi
In this paper, we explain method of formation control for swarm robots in outdoor environments. Adopted is a leader-following approach for the main formation control. Using only camera for the localization of a leader robot is hard to identify precise images because of a severe illumination change between day and night. So we propose to use an infrared camera with reflective tags. Experiments with two mobile robots have been performed in an outdoor environment and the results will be discussed.
本文阐述了室外环境下群体机器人的编队控制方法。采用leader-following方法进行主编队控制。由于昼夜光照的剧烈变化,仅使用相机对机器人进行定位很难准确识别图像。所以我们建议使用带有反射标签的红外摄像机。用两个移动机器人在室外环境中进行了实验,并将对结果进行讨论。
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引用次数: 10
Optimal mission planning for underwater environment 水下环境下最优任务规划
Daegil Park, Jonghui Han, W. Chung
In this paper, we suggest the mission planning method for autonomous underwater vehicle. In order to set the optimal mission scheduling, we solve the traveling salesman problem using genetic algorithm, and we suggest the cost function which considering both Euclidean distance and current information. In additionally, constraints such as priority and obstacles is considered. By checking the simulation, we achieved the valuable simulation results.
本文提出了自主水下航行器的任务规划方法。为了设置最优任务调度,采用遗传算法求解旅行商问题,提出了同时考虑欧氏距离和当前信息的成本函数。此外,还考虑了优先级和障碍等约束条件。通过仿真验证,得到了有价值的仿真结果。
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引用次数: 4
Modeling parameter estimation and vibration control of the solar cell substrate handling robot 太阳能电池基板搬运机器人的建模、参数估计及振动控制
D. Park, Cheolhoon Park, Joohan Park, J. Kyung, Doo-Hyung Kim
There are many automation system in the thin film solar cell manufacturing line. Especially, many kinds of robot are used to handle the large solar cell substrate. Handling the large substrate at high speed is an important issue for high productivity. Because the robot handles the large and heavy substrate at high speed, there are some issues such as vibration control and the optimal design of arms and forks. There have been some previous research about the deflection and the compensation of arms and forks. And we also performed the static/dynamic simulation and analyzed the vibration characteristics in the previous research. In the paper, we carried out more specific simulation and compared the result with the basic vibration characteristics. We can establish the exacter simulation model by the comparison between the simulation and the experiment. We applied the vibration control algorithm such as input shaping algorithm to reduce vibration and proved the effect of the vibration control using both simulation and experiment.
在薄膜太阳能电池生产线上有许多自动化系统。特别是各种各样的机器人被用于处理大型太阳能电池衬底。高速处理大型基板是高生产率的一个重要问题。由于机器人需要高速处理大型、重型的物体,因此存在振动控制、臂叉优化设计等问题。对于臂叉的偏转和补偿问题,前人已有一些研究。并且在之前的研究中对其进行了静、动态仿真和振动特性分析。在本文中,我们进行了更具体的仿真,并与基本振动特性进行了比较。通过仿真与实验的对比,可以建立更精确的仿真模型。采用输入整形算法等振动控制算法来降低振动,并通过仿真和实验验证了振动控制的效果。
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引用次数: 0
A SVM based classification of EEG for predicting the movement intent of human body 基于支持向量机的脑电分类预测人体运动意图
Kaiyang Li, Xiaodong Zhang, Yuhuan Du
In this paper, the EEG (electroencephalograph) signal acquisition equipment is used to collect the EEG signal of human lower limb movement intention. This paper firstly analyzes α waveform and β waveform, which can most reveal the intentions of human body movement. Then, wavelet transform is used for noise removal, filter and feature extraction. This paper also has described the theory of Support Vector Machine (SVM), and one-to-one SVM method is used for the classification of EEG of six different movement patterns. Finally through the experimental verification, the validity of the proposed research method is demonstrated. The experiment has shown a better judging result, in which the average recognition rate is 78.9%.
本文采用脑电图信号采集设备采集人体下肢运动意图的脑电图信号。本文首先分析了最能揭示人体运动意图的α波形和β波形。然后利用小波变换进行去噪、滤波和特征提取;本文还介绍了支持向量机(SVM)的基本原理,并采用一对一的支持向量机方法对六种不同运动模式的脑电信号进行了分类。最后通过实验验证,验证了所提研究方法的有效性。实验显示了较好的判断结果,平均识别率为78.9%。
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引用次数: 8
Haptic realization for user recognition using vibration pattern 基于振动模式的用户识别触觉实现
Donghyuk Lee, K. Noh, Sun-Kyun Kang, Jangmyung Lee
In this paper, the haptic implementation using user-aware vibration pattern studied to recognize a surroundings of a teleoperated mobile robot in an environment where the user cannot see. The user teleoperates the mobile robots using the joystick in an environment where the user cannot see, haptic that enables the user perceive the perceived location information of obstacle during driving was implemented by using user-aware vibration pattern occurring in the haptic device. The haptic device was consist of equip with one vibration motor on the bottom of the joystick. The mobile robot implements the location information of the obstacle precisely by increasing the resolution using the superposition of ultrasonic sensors, and using this information, proper vibration pattern was implemented in haptic devices.
本文研究了利用用户感知振动模式的触觉实现,在用户看不到的环境中识别遥控移动机器人的周围环境。用户在用户看不到的环境中使用操纵杆远程操作移动机器人,通过使用触觉设备中发生的用户感知振动模式,实现用户感知驾驶过程中感知障碍物位置信息的触觉。该触觉装置由在操纵杆底部安装一个振动马达组成。移动机器人通过超声波传感器的叠加提高分辨率,精确地实现障碍物的位置信息,并利用这些信息在触觉装置中实现适当的振动模式。
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引用次数: 2
The optimal position of mobile modules in the reconfigurable intelligent space 移动模块在可重构智能空间中的最佳位置
Jongseung Park, Toshitake Nunogaki, Joo-Ho Lee
Reconfigurable Intelligent Space (R+iSpace) is a kind of smart environment and it was proposed to resolve the restriction of position of devices which are installed to the wall and the ceiling. The devices in the R+iSpace are mounted on the mobile module (MoMo) and the R+iSpace controls them. For offering the service to user effectively, the devices mounted on mobile module should be located to their optimal position according to situation. Therefore to find the optimal position of device is very important. In this paper, the fundamental algorithm, which finds the optimal position, is proposed. The algorithm is verified by simulation experiment with camera mounted mobile module.
可重构智能空间(Reconfigurable Intelligent Space, R+iSpace)是一种智能环境,它是为了解决安装在墙壁和天花板上的设备的位置限制而提出的。R+iSpace中的设备安装在移动模块MoMo (mobile module)上,由R+iSpace进行控制。为了有效地为用户提供服务,应根据情况将安装在移动模块上的设备定位到最佳位置。因此,找到设备的最佳位置是非常重要的。本文提出了寻找最优位置的基本算法。通过摄像机移动模块的仿真实验验证了该算法的有效性。
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引用次数: 2
Design and control of an unmanned aerial vehicle (UAV) based on the Coandă effect 基于科安德效应的无人机设计与控制
Jaehyeok Jeon, Hyoju Lee, Seonhye Han, HyunYong Lee, Choon-Joo Lee, Y. Kim, Hyoukryeol Choi
In this paper, we present an unmanned aerial vehicle (UAV) called VTOL. we designed the overall shape of the UAV. we determined the optimal surface shape of the vehicle and the ratio of width to height of the saucer. Finally, we built the UAV and controlled its flight using anti-torque and flap links.
本文提出了一种称为VTOL的无人机(UAV)。我们设计了无人机的整体形状。我们确定了飞行器的最佳表面形状和飞碟的宽高比。最后,我们建立了无人机和控制其飞行使用抗扭矩和襟翼链接。
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引用次数: 2
Behavioral analysis of touch-based interaction of humans with an egg-shaped robot 基于触摸的人与蛋形机器人互动行为分析
Jin Tae Kim, Hyunsoo Song, D. Kwon
In this paper, we examined the tendency of non-experts to exhibit emotional touch interactions with a robot model. For the experiment, we defined proper characteristics of the egg-shaped robot. We divided distance into three types: spatial distance, robot size and emotional distance. From the experimental results, we were able to define the properties of touch interaction according to a set of factors: location, interaction type, direction, normal direction and degree of repetition. We were able to find the preference for the type of touch interaction according to the location of the robot, and to classify the semantic type of touch interaction according to emotional group. We also gained some inspiration from interviews with participants.
在本文中,我们研究了非专家与机器人模型表现出情感触摸互动的倾向。在实验中,我们定义了蛋形机器人的适当特性。我们将距离分为三种类型:空间距离、机器人大小和情感距离。根据实验结果,我们可以根据一系列因素定义触摸交互的属性:位置、交互类型、方向、法向和重复程度。我们能够根据机器人的位置找到对触摸交互类型的偏好,并根据情感群体对触摸交互的语义类型进行分类。我们也从对参与者的采访中获得了一些灵感。
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引用次数: 2
Autonomous segmentation of motion primitive including muscular activation using variational Bayesian mixture of Gaussian 基于变分贝叶斯混合高斯的运动原语自动分割
S. Park, W. Chung
Motion primitive is a functional unit of human motion and this can provide a robot control framework to understand human motion in a physical way. Autonomous primitive segmentation is to divide a sequence of motions into a set of proper segments. This paper proposes primitive segmentation algorithm using Bayesian mixture of Gaussian that can automatically choose the number of mixture components. Also to resolve the ambiguous nature of the muscular activations within the same joint positions, the segmentation is performed augmenting the surface electromyogram as muscular activations into the joint positions.
运动原语是人体运动的功能单元,它可以提供一个机器人控制框架,以物理的方式理解人体运动。自治原语分割是将运动序列分割成一组适当的片段。本文提出了一种基于贝叶斯混合高斯的原始分割算法,该算法可以自动选择混合分量的个数。此外,为了解决相同关节位置内肌肉激活的模糊性,分割是在肌肉激活进入关节位置时进行表面肌电图的增强。
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引用次数: 2
A design of self-sustained gel actuator 一种自维持凝胶致动器的设计
Terukazu Kato, N. Hosoya, S. Maeda
Many types of stimuli-sensitive gels have been studied and applied to soft actuators with the progress of the functional materials. Especially, electro-active polymer gels seem to be promising. In all cases, however, the mechanical motion is powered by electric stimuli. Herein we show the self-susteined gel actuator driven by chemical energy. The polymer gels can undergo periodic expansion and contraction without external stimuli. The volume oscillation is induced by the oscillatory Belousov-Zhabotinsky (BZ) reaction, producing displacement up to 10 to 100 μm. Here it is shown that the applying load to the polymer gels substantially improves the actuation performance. The actuated displacement up to 1.15mm were demonstrated. This novel active gels reported in this paper is excellent tools for the successful design and use of the electric-free actuators.
随着功能材料的发展,许多类型的刺激敏感凝胶被研究并应用于软执行器。特别是,电活性聚合物凝胶似乎很有前途。然而,在所有情况下,机械运动都是由电刺激驱动的。在这里,我们展示了由化学能驱动的自维持凝胶致动器。聚合物凝胶可以在没有外界刺激的情况下进行周期性的膨胀和收缩。体积振荡由Belousov-Zhabotinsky (BZ)反应引起,位移可达10 ~ 100 μm。结果表明,在聚合物凝胶上施加载荷可以显著提高驱动性能。结果表明,驱动位移可达1.15mm。本文报道的这种新型活性凝胶是成功设计和使用无电执行器的良好工具。
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引用次数: 1
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2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
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