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2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)最新文献

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Human localization based on the fusion of vision and sound system 基于视觉与听觉融合的人体定位
Sung-Wan Kim, Ji-Yong Lee, Doik Kim, Bum-Jae You, N. Doh
In this paper, a method for accurate human localization using a sequential fusion of sound and vision is proposed. Although the sound localization alone works well in most cases, there are situations such as noisy environment and small inter-microphone distance, which may produce wrong or poor results. A vision system also has deficiency, such as limited visual field. To solve these problems we propose a method that combines sound localization and vision in real time. Particularly, a robot finds rough location of the speaker via sound source localization, and then using vision to increase the accuracy of the location. Experimental results show that the proposed method is more accurate and reliable than the results of pure sound localization.
本文提出了一种基于声视觉序列融合的精确人体定位方法。虽然声音定位在大多数情况下都能很好地工作,但在嘈杂的环境和麦克风间距离较小的情况下,可能会产生错误或较差的结果。视觉系统也有缺陷,比如视野有限。为了解决这些问题,我们提出了一种声音定位与视觉实时结合的方法。特别是,机器人通过声源定位找到说话人的大致位置,然后利用视觉来提高定位的准确性。实验结果表明,该方法比单纯的声音定位结果更准确、可靠。
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引用次数: 3
Q learning behavior on autonomous navigation of physical robot 物理机器人自主导航的Q学习行为
H. Wicaksono
Behavior based architecture gives robot fast and reliable action. If there are many behaviors in robot, behavior coordination is needed. Subsumption architecture is behavior coordination method that give quick and robust response. Learning mechanism improve robot's performance in handling uncertainty. Q learning is popular reinforcement learning method that has been used in robot learning because it is simple, convergent and off policy. In this paper, Q learning will be used as learning mechanism for obstacle avoidance behavior in autonomous robot navigation. Learning rate of Q learning affect robot's performance in learning phase. As the result, Q learning algorithm is successfully implemented in a physical robot with its imperfect environment.
基于行为的体系结构使机器人的动作快速可靠。当机器人中存在多种行为时,需要进行行为协调。包容体系结构是一种行为协调方法,具有快速、鲁棒的响应能力。学习机制提高了机器人处理不确定性的性能。Q学习是一种非常流行的强化学习方法,由于其简单、收敛、无策略等特点,被广泛应用于机器人学习中。本文将Q学习作为自主机器人导航避障行为的学习机制。Q学习的学习率影响机器人在学习阶段的性能。结果表明,Q学习算法在物理机器人的不完美环境中得到了成功的实现。
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引用次数: 14
Dynamic analysis of beam type substrate handling robot in solar cell manufacturing 太阳能电池制造中梁式衬底搬运机器人的动力学分析
Dongil Park, C. Park, Yijun Yoo, Hyunmin Do, J. Kyung
In the thin film solar cell production system, it is a very important task to handle the large size solar cell substrate. Many handling robots have been developed and applied in the manufacturing line. As the substrate size gets larger, dynamic analysis and vibration control including flexible forks becomes very important. Precise position control including the vibration of forks and the substrate is very important because solar cell substrate is three to five times heavier than LCD glass substrate. In the paper, we analyzed dynamic motion of the robot and vibration of end-effector including flexible forks using RecurDyn. Motion trajectory is based on tact time in the real production line and motion simulation is performed in the various conditions.
在薄膜太阳能电池生产系统中,处理大尺寸太阳能电池衬底是一项非常重要的任务。许多搬运机器人已被开发并应用于生产线上。随着基板尺寸的增大,包括柔性叉在内的动态分析和振动控制变得非常重要。精确的位置控制包括叉和基板的振动是非常重要的,因为太阳能电池基板比LCD玻璃基板重三到五倍。本文利用RecurDyn软件对机器人的动态运动和末端执行器(包括柔性叉)的振动进行分析。运动轨迹基于真实生产线的实际时间,并在各种条件下进行运动仿真。
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引用次数: 8
3D mapping in urban environment using geometric featured voxel 基于几何特征体素的城市环境三维映射
Inwook Shim, Yungeun Choe, M. Chung
In recent year, much progress has been made in outdoor 3D mapping. However, 3D mapping in real time is still a daunting challenge in urban environment. This paper addresses the problem of 3D mapping from 3D laser scans in urban environments in real time. To do this, we proposed geometric featured voxel which can efficiently represent 3D urban structure without loss of geometric properties. For evaluation of the proposed voxel, we use Oakland dataset.
近年来,在室外三维制图方面取得了很大的进展。然而,在城市环境中,实时三维绘图仍然是一个艰巨的挑战。本文研究了三维激光扫描在城市环境中的实时三维制图问题。为此,我们提出了几何特征体素,它可以在不损失几何属性的情况下有效地表示三维城市结构。为了评估所提出的体素,我们使用奥克兰数据集。
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引用次数: 7
A basic study for the development of R-learning curriculums in the Early Childhood school system 幼儿学校系统R-learning课程开发的基础研究
Y. Lee, Hyunah Seo
The objective of this study was to provide basic materials to plan effective development of curriculums for the integration of R-learning education in the early childhood school system. In order to investigate the perception and demand of R-learning, we conducted a questionnaire survey of 30 professors and 482 pre-service teachers at the Department of Early Childhood Education in colleges throughout Korea. Moreover, in order to survey the operation and current state of curriculums related to R-learning at the Department of Early Childhood Education, we analyzed the homepages of the Department of Early Childhood Education in 104 colleges offering computer and multimedia curriculums among 165 colleges in Korea. According to the results, first, with regard to the perception of R-learning curriculums, all of the early childhood education professors and pre-service teachers recognized the necessity of R-learning curriculums, and concerning problems in the organization and operation of R-learning curriculums, they mentioned the excessive number of curriculums to be completed within the course of the department and whether such curriculums would take an important part as major subjects. Second, with regard to the operation of curriculums related to computer and multimedia at the Department of Early Childhood Education, 104 (63%) out of 165 colleges were operating such curriculums at the Department of Early Childhood Education. Third, based on the analysis of the demand and current state of R-learning curriculums, we proposed a model for the integration of R-learning curriculums into existing related curriculums. From the results of this study, we expect to introduce robot-based education into the field of early childhood education early through enhancing in-service and pre-service teachers' positive attitude toward R-learning and their skills in robot-based education, and to make mid-term and long-term strategies for integrating robot-based education into early childhood education courses.
本研究旨在为幼儿学校系统整合R-learning教育提供有效的课程发展规划基础资料。为了调查r学习的认知和需求,我们对韩国各地大学幼儿教育系的30名教授和482名职前教师进行了问卷调查。此外,为了调查幼儿教育系r学习相关课程的运作和现状,我们分析了韩国165所大学中开设计算机和多媒体课程的104所大学的幼儿教育系主页。结果显示:第一,在对R-learning课程的认知方面,所有幼儿教育教授和职前教师都认可R-learning课程的必要性,并且在R-learning课程的组织和运作中存在问题,他们提到了在本系课程内要完成的课程数量过多,以及这些课程是否会作为主修科目占据重要地位。第二,关于在幼儿教育系开设计算机和多媒体相关课程的情况,165所大学中有104所(63%)在幼儿教育系开设此类课程。第三,在分析R-learning课程需求和现状的基础上,提出了R-learning课程与现有相关课程整合的模式。从本研究的结果来看,我们期望通过提高在职和职前教师对r学习的积极态度和机器人教育技能,将机器人教育引入幼儿教育领域,并制定将机器人教育融入幼儿教育课程的中长期策略。
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引用次数: 0
Improvement of stability for vertical take-off of an insect-mimicking flapping-wing system 仿昆虫扑翼系统垂直起飞稳定性的改进
H. Phan, Q. Nguyen, H. Park, N. Goo, D. Byun
In recent years, there has been a lot of progress in developing Flapping-Wing Micro Air Vehicles (FW-MAVs) [1–2]. Most of them were designed for low Reynolds numbers environment (in the range of 5,000 to 10,000 [3]). Therefore, many researchers have been paying attention to principle of insect flight for potential application to improve FW-MAVs or to develop even smaller system, called Nano Air Vehicles (NAVs) [4].
近年来,扑翼微型飞行器(FW-MAVs)的研究取得了很大进展[1-2]。它们大多是为低雷诺数环境(在5,000到10,000[3]范围内)设计的。因此,许多研究人员一直在关注昆虫飞行的原理,以寻求潜在的应用,以改进FW-MAVs或开发更小的系统,称为纳米飞行器(nav)[4]。
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引用次数: 0
Optical flow computation on a heterogeneous platform 异构平台上的光流计算
J. Oh, E. Im, Kyoungro Yoon
Unmanned Aerial Vehicles (UAV) are finding their way to a wide range of safety-critical missions. Our collaborative research team of computer scientists and aerospace engineers has worked on developing hardware and software of UAV. One of vital components in software used in UAV is image stabilization. The constantly-shaking images taken from the UAV, resulted from the vehicle's motion, need to be stabilized to perform its mission. In this paper, we present our implementation of image stabilization software. Our research is focused on using state-of-the-art Graphic Processing Unit (GPU) to improve the performance of the image stabilization software. The stabilizer estimates motion of the vehicle by calculating optical flow between successive two frames. In this study, we parallelized the calculation of the optical flow, which is identified as a computational bottleneck of the entire image stabilization process. Using the massive parallelism of NVIDIA C2060 GPU with 448 cores, we could improve the overall performance of image stabilizer.
无人驾驶飞行器(UAV)正在寻找一种广泛的安全关键任务。我们的计算机科学家和航空航天工程师组成的合作研究团队致力于开发无人机的硬件和软件。在无人机软件中,稳像是一个重要的组成部分。由于飞行器的运动,从无人机上拍摄的不断晃动的图像需要稳定以执行其任务。本文介绍了图像稳定软件的实现。我们的研究重点是使用最先进的图形处理单元(GPU)来提高图像稳定软件的性能。稳定器通过计算连续两帧之间的光流来估计车辆的运动。在本研究中,我们将光流的计算并行化,这被认为是整个稳像过程的计算瓶颈。利用NVIDIA C2060 448核GPU的大规模并行性,我们可以提高图像稳定器的整体性能。
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引用次数: 1
Mobile manipulation: Bring back the cereal box video proceedings of the 2011 CogX Spring School 移动操作:带回2011年CogX春季学校的麦片盒视频程序
Kai Zhou, M. Zillich, M. Vincze
This work presents the results of 5 days of project work carried out as part of the 2011 CogX Spring School. The task to be solved was to program a mobile robot to train a set of objects, locate a subset of these in a room, and to pick up and return them to a defined drop-off zone.
这个作品展示了作为2011年CogX春季学校的一部分进行的为期5天的项目工作的结果。要解决的任务是给一个移动机器人编程,让它训练一组物体,在房间里定位其中的一个子集,然后把它们捡起来,送回一个指定的落客区。
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引用次数: 1
Hole filled 3D map using mobile robots in the urban environment 在城市环境中使用移动机器人填充的三维地图
Sang Un Park, Inwook Shim, M. Chung
3D mapping and expression of the environment are very important with various applications in many different fields. Among the various sensors (vision sensor, infrared sensor, and LiDAR (Light Detection and Ranging) sensor), we used the LiDAR sensor in this paper because its accuracy is good and easy to handle. There exist holes in the result of 3D reconstruction. When these holes are filled, improved results of localization, and path planning are expected. We propose a contour based sampling algorithm to fill holes. It uses the information from regions near the holes for the prediction, and the results confirm that the filled regions look similar to the real environment.
环境的三维映射和表达在许多不同的领域有着非常重要的应用。在各种传感器(视觉传感器、红外传感器和LiDAR(光探测和测距)传感器)中,我们使用LiDAR传感器,因为它的精度好,易于操作。三维重建结果中存在孔洞。当这些洞被填满后,定位和路径规划的结果有望得到改善。我们提出了一种基于轮廓的采样算法来填充孔。它利用洞附近区域的信息进行预测,结果证实填充区域看起来与真实环境相似。
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引用次数: 0
Joint trajectory generation of humanoid robot's front kick 仿人机器人前踢腿关节轨迹生成
Min-Goo Choi, Nak-Yoon Choi, Young-Lim Choi, Jong-Wook Kim
This paper proposes a new approach to generate joint trajectories of a humanoid robot for kicking forward, which is one of the basic motions in Taekwondo. This type of motion generation is regarded difficult because of high dimensional complexities under the Denavit-Hartenberg kinematic convention especially in case of the humanoid robot. However, the projection based kinematics enables us to intuitively schedule trajectories of joint motors by mimicking human's kicking motion. The forward kick is divided into three postures with corresponding joint motor angles, and the motor trajectories are generated to pass them, to maximize kicking power, and to maintain standing stability. This is carried out by computer simulation, which will be realized with a small humanoid robot.
提出了一种生成仿人机器人前踢关节运动轨迹的新方法。前踢是跆拳道的基本动作之一。在Denavit-Hartenberg运动学惯例下,这种类型的运动生成被认为是困难的,因为它具有高维复杂性,特别是对于类人机器人。然而,基于投影的运动学使我们能够通过模拟人的踢腿运动来直观地安排关节电机的轨迹。前踢腿分为三种姿势,有相应的关节电机角度,并产生电机轨迹以通过它们,使踢腿力量最大化,并保持站立稳定性。这是通过计算机模拟来实现的,将用一个小型人形机器人来实现。
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引用次数: 0
期刊
2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
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