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ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.最新文献

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Online SLAM in dynamic environments 动态环境下的在线SLAM
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507422
G. Huang, A. Rad, Y. Wong
In this paper, we propose a novel online algorithm for simultaneous localization and mapping (SLAM) in dynamic environments. We first formulate the problem with two interdependent parts: SLAM and multiple target tracking (MTT). To pursue online performance, we propose a hierarchical hybrid method to solve SLAM: locally by maximum likelihood (ML) with occupancy grid map, and globally by extended Kalman filter (EKF) with feature-based map. Meanwhile we apply a straightforward nearest neighborhood (NN) algorithm based on Euclidean metric to address MTT. In order to track multiple moving objects reliably, we propose an enhanced fuzzy clustering (EFC) method to segment 2D range images and reliably group objects. Experiments validated on Pioneer 2DX mobile robot with SICK LMS200 demonstrate the capability and robustness of the proposed algorithm
在本文中,我们提出了一种新的动态环境下的在线同时定位和映射算法。我们首先用SLAM和多目标跟踪(MTT)两个相互依赖的部分来描述问题。为了追求在线性能,我们提出了一种分层混合方法来解决SLAM:局部使用最大似然(ML)与占用网格图,全局使用扩展卡尔曼滤波(EKF)与基于特征的地图。同时,我们采用基于欧几里得度量的最近邻(NN)算法来解决MTT问题。为了可靠地跟踪多个运动目标,提出了一种增强模糊聚类(EFC)方法来分割二维距离图像并可靠地对目标进行分组。基于SICK LMS200的先锋2DX移动机器人实验验证了该算法的有效性和鲁棒性
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引用次数: 17
High-speed search for similar image from database for dexterous robot hand control 基于数据库相似图像快速搜索的灵巧机械手控制
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507462
K. Hoshino, T. Tanimoto
The authors propose a system for searching the posture of human 3D hands and fingers in real time and with high accuracy, without using any special peripheral equipment such as infrared range sensor, PC cluster, etc., by a method of searching similar image quickly with high accuracy from a large volume of image database containing complicated shapes and self-occlusions. In designing the system, we constructed a database to be adaptable even to differences in hand shape among individuals, and searched computer graphics (CG) images of hand similar to unknown hand image input, through extraction of characteristics using high-order local autocorrelational patterns, reduction of the amount of characteristics centering on principal component analysis, and prior rearrangement of data corresponding to the amount of characteristics. As a result of experiments, our system carried out high-accuracy estimation of human hand shape with the processing speed of 30 fps or over
本文提出了一种不使用红外距离传感器、PC集群等特殊外围设备,通过从包含复杂形状和自遮挡的大量图像数据库中快速、高精度地搜索相似图像的方法,实时、高精度地搜索人体三维手、手指姿态的系统。在设计系统时,我们构建了一个能够适应个体手形差异的数据库,并通过使用高阶局部自相关模式提取特征,以主成分分析为中心减少特征数量,以及根据特征数量预先重新排列数据,搜索与未知手图像输入相似的计算机图形图像。实验结果表明,该系统对人手形状进行了高精度的估计,处理速度达到30 fps以上
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引用次数: 0
A framework for the development of cooperative robotic applications 开发协作机器人应用的框架
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507514
P. Nebot, E. Cervera
The advances in mobile robotics, computing power, and wireless communications have turned feasible the development of communities of autonomous robots. In the last years, there is a greater interest in systems of multiple autonomous robots for the accomplishment of cooperative tasks. This project takes it into account and presents an architecture for the development of collaborative applications for a heterogeneous team of mobile robots based on embedded agents. The implemented architecture has the capacity to allow the team of robots to accomplish such tasks, and also it has tools and features that allow programmers to develop complex applications in a reasonable time. An agent-based development platform has been used for this purpose, due to it integrates the necessary capabilities for developing distributed applications, and manages the communications among all the components. To demonstrate the advantages of the architecture a real application, robot following, has been implemented. It consists of a set of embedded agents, which run in real robot systems, demonstrating that embedding agents in distributed intelligent systems is a powerful method for quick application development in the multirobot domain
移动机器人、计算能力和无线通信方面的进步使自主机器人社区的发展成为可能。在过去的几年里,人们对多自主机器人完成协作任务的系统产生了更大的兴趣。本项目考虑到这一点,并提出了一个基于嵌入式代理的异构移动机器人团队协作应用程序开发的体系结构。实现的体系结构有能力允许机器人团队完成这些任务,并且它还具有允许程序员在合理的时间内开发复杂应用程序的工具和特性。基于代理的开发平台已被用于此目的,因为它集成了开发分布式应用程序所需的功能,并管理所有组件之间的通信。为了证明该体系结构的优点,已经实现了一个实际应用,机器人跟随。它由一组嵌入式智能体组成,并在实际机器人系统中运行,证明了在分布式智能系统中嵌入智能体是实现多机器人领域快速应用开发的有力方法
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引用次数: 14
Stable and high performance teleoperation with time domain passivity control: reference energy following scheme 时域无源控制的稳定高性能遥操作:参考能量跟踪方案
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507497
J. Ryu, Jong-Hwan Kim
Recently proposed stable teleoperation control scheme, based on time domain passivity, is modified to remove several conservatisms. During unconstrained motion and contacting with soft and deformable environments, the two-port time domain passivity approach (Ryu et al., 2004) was excessively dissipating energy even though it was stable without any energy dissipation. The main reason of this conservatism is on the fact that the time domain passivity controller does not include the external energy dissipation elements at the slave manipulator. The measured interaction force between slave and environment allow the time domain passivity observer to include the amount of energy dissipation of the slave manipulator to the monitored energy. With the modified passivity observer, reference energy following idea (Ryu, et al., 2003) is applied to satisfy the passivity condition. The feasibility of the developed methods is proved with experiments. Improved performance is obtained in unconstrained motion and contacting with a soft environment
对最近提出的基于时域无源的稳定遥操作控制方案进行了改进,去掉了几个保守性。在无约束运动和与软、可变形环境接触时,双端口时域无源方法(Ryu et al., 2004)虽然稳定且无任何能量耗散,但存在过度耗散能量的问题。这种保守性的主要原因是时域无源控制器没有考虑从机械臂处的外部能量耗散因素。测量的从机与环境之间的相互作用力允许时域被动观测器将从机的能量耗散量计入监测的能量。在改进的被动观测器中,采用参考能量跟随思想(Ryu, et al., 2003)来满足被动条件。实验证明了所提方法的可行性。在无约束运动和与软环境接触时,系统的性能得到了提高
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引用次数: 12
Simulation study of fish swimming modes for aquatic robot system 水生机器人系统中鱼类游动模式的仿真研究
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507388
Eunjung Kim, Y. Youm
In this paper, we show the simulation result to find the suitable fish swimming modes (specially BCF swimming) for fish like underwater robot system. To find the suitable swimming modes, we assume that they have the same length, volume, and weight, but the different numbers of actuator (joint). And we use the minimum number of the joint for each swimming mode. We derive the dynamic equation for each system using Kane's method and these results are compared by DADS. We present the optimal solution of swimming mode for some aquatic locomotion, especially faster(high propulsive efficiency) and more maneuverable (quick turning motion)
在本文中,我们展示了仿真结果,以找到适合鱼类水下机器人系统的鱼类游泳模式(特别是BCF游泳)。为了找到合适的游泳模式,我们假设它们具有相同的长度、体积和重量,但执行器(关节)的数量不同。我们使用每个游泳模式的最小关节数。用凯恩法推导了各系统的动力学方程,并用DADS对结果进行了比较。针对某些水上运动,特别是速度更快(推进效率高)和机动性更强(快速转弯)的运动,提出了游泳模式的最优解。
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引用次数: 0
3D-bottom tracking based on acoustic diffraction for autonomous underwater vehicles 基于声衍射的自主水下航行器三维底部跟踪
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507389
V. Creuze, B. Jouvencel, P. Baccou
Navigation of autonomous underwater vehicles (A.U.V.) in very shallow waters implies acoustic detection. In single beam sonar systems, sound emitted by ultrasonic transducers is diffracted and secondary lobes appear. Considering the sea bottom's backscattering properties, secondary lobes can be used to work out the three-dimensional equation of the plane that represents the seabed. In this paper, we first consider characteristics of electro-acoustic transducers with rectangular aperture and study the resulting acoustic diffraction. Then, we explain how to choose the best dimensions of the transducer and the related best orientation. Moreover, we introduce a method aiming to extract the seabed 3D equation from the received acoustic echo. Thus single beam sonar systems can be used for bottom tracking purposes. We present the results of our simulations and our experimental device
自主水下航行器(auuv)在浅水中导航需要声学探测。在单波束声呐系统中,超声换能器发出的声音被衍射并出现二次叶。考虑到海底的后向散射特性,二次波瓣可以计算出代表海底的平面的三维方程。本文首先考虑了矩形孔径电声换能器的特性,并研究了由此产生的声衍射。然后,我们解释了如何选择换能器的最佳尺寸和相关的最佳方向。此外,我们还介绍了一种从接收到的声学回波中提取海底三维方程的方法。因此单波束声纳系统可以用于海底跟踪目的。我们给出了我们的模拟结果和我们的实验装置
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引用次数: 2
Continuous identification of gait phase for robotics and rehabilitation using microsensors 基于微传感器的机器人与康复系统步态相位连续识别
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507483
R. Héliot, B. Espiau, F. Favre-Reguilion
Using microsensors for the robust and accurate analysis of human posture or gait is an interesting opportunity for rehabilitation and robotics applications. This paper describes a feasibility study in which the possibility of using a new type of embedded microsensors, based on the coupling of accelerometers and magnetometers, and developed by CEA/LETI is investigated. This study consists in identifying what part of the gait cycle is active by using a reconstruction of the knee joint angle by two microsensors fixed on tibia and thigh, during a steady-state sagittal walk. More than just an identification of a few gait states, this approach allows us to continuously extract the current position on the gait cycle. We compare the reconstructed knee joint angle with a stored reference taking into account uncertainties on the velocity and perturbations of the terrestrial magnetic field. To accurately identify the phase of the gait movement, we fuse different simple and complementary methods: morphomathematics, cyclogram analysis, wavelet transform, qualitative analysis, crosscorrelation. These results encourage us to extend this work to explore the possibility of recognition of a larger set of human movements using more sensors and improved algorithms of signal processing
使用微传感器对人体姿势或步态进行稳健和准确的分析是康复和机器人应用的一个有趣的机会。本文介绍了一种由CEA/LETI开发的基于加速度计和磁力计耦合的新型嵌入式微传感器的可行性研究。本研究通过固定在胫骨和大腿上的两个微传感器重建膝关节角度,在稳定状态矢状行走期间,确定步态周期的哪一部分是活跃的。这种方法不仅仅是对几种步态状态的识别,还允许我们连续地提取步态周期上的当前位置。考虑到速度的不确定性和地磁场的扰动,我们将重建的膝关节角度与存储的参考进行了比较。为了准确识别步态运动的相位,我们融合了不同的简单而互补的方法:形态数学、环图分析、小波变换、定性分析、相互关联。这些结果鼓励我们扩展这项工作,探索使用更多传感器和改进的信号处理算法来识别更大范围的人类运动的可能性
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引用次数: 19
Identifying and segmenting human-motion for mobile robot navigation using alignment errors 基于定位误差的移动机器人导航人体运动识别与分割
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507441
Wael AbdAlmageed, B. J. Burns, Larry S. Davis
This paper presents a new human-motion identification and segmentation algorithm, for mobile robot platforms. The algorithm is based on computing the alignment error between pairs of object images acquired from a moving platform. Pairs of images generating relatively small alignment errors are used to estimate the fundamental frequency of the object's motion. A decision criterion is then used to test the significance of the estimated frequency and to classify the object's motion. To verify the validity of the proposed approach, experimental results are shown on different classes of objects
针对移动机器人平台,提出了一种新的人体运动识别与分割算法。该算法基于计算从运动平台获取的目标图像对之间的对齐误差。对图像产生相对较小的对准误差是用来估计的基本频率的对象的运动。然后使用一个决策准则来测试估计频率的显著性并对物体的运动进行分类。为了验证该方法的有效性,在不同类别的目标上给出了实验结果
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引用次数: 8
Singularity-free fully-isotropic parallel manipulators with Schonflies motions 具有schonfly运动的无奇点全各向同性并联机械臂
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507412
G. Gogu
In this paper we present a new family of singularity-free fully-isotropic parallel manipulators with Schonflies motions. The moving platform of a parallel manipulator with Schonflies motions (PMSM) has four degrees of freedom, which are three independent translations and one rotation about an axis of fixed direction. A method is proposed for structural synthesis of fully-isotropic PMSMs based on the theory of linear transformations. A one-to-one correspondence exists between the actuated joint velocity space and the external velocity space of the moving platform. The Jacobian matrix mapping the two vector spaces of fully-isotropic PMSMs presented in this paper is the identity 4times4 matrix throughout the entire workspace. The condition number and the determinant of the Jacobian matrix being equal to one, the manipulator performs very well with regard to force and motion transmission capabilities. As far as we are aware, the family of 8750 solutions of singularity-free fully-isotropic PMSMs introduced in this paper is presented for the first time in the literature. These solutions are derived from a family of PMSMs with decoupled motions and elementary legs also presented for the first time
本文提出了一类具有Schonflies运动的无奇点全各向同性并联机器人。Schonflies运动并联机械臂的运动平台具有四个自由度,即三次独立平移和一次绕固定方向轴的旋转。提出了一种基于线性变换理论的全各向同性永磁同步电机结构综合方法。驱动关节的速度空间与运动平台的外速度空间呈一一对应关系。本文给出的映射全各向同性pmsm的两个向量空间的雅可比矩阵是整个工作空间的单位4乘4矩阵。当雅可比矩阵的条件数和行列式均为1时,该机械手在力和运动传递能力方面表现良好。据我们所知,本文介绍的无奇点全各向同性永磁同步电动机的8750个解族是文献中首次提出的。这些解是由一类具有解耦运动和基本腿的pmsm导出的,这也是首次提出的
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引用次数: 31
Visual navigation of wheeled robots : compensating floor undulations 轮式机器人视觉导航:补偿地面波动
Pub Date : 2005-07-18 DOI: 10.1109/ICAR.2005.1507477
A. Bohori, K. Venkatesh, Vinay Singh, A. Mukerjee
Optical flow based navigation systems depend on the planar navigation constraint, which reduces search to two parameters-translation velocity in the headed direction and the rotational velocity about vertical axis. However, this constraint often fails in practice when motion undulations caused by floor variations or wheel kinematics generate dominating vertical flows, resulting in widely erroneous depth maps. In this work, these floor undulations are modeled as rotations about an axis derivable from the robot kinematics. These are then dynamically calibrated and compensated for, resulting in more accurate depth maps. Optical flow is now computed using the so called generalized dynamic image model [S. Negahdaripour, 1998] which results in a much less noisy depth map. Using fuzzy inference to ameliorate the effects of noise added in the differentiation process, we show an implementation on a Pioneer-II mobile robot that navigates successfully in unknown cluttered static environments
基于光流的导航系统依赖于平面导航约束,将搜索过程简化为两个参数:前进方向的平移速度和垂直轴的旋转速度。然而,在实践中,当由地板变化或车轮运动学引起的运动波动产生主导的垂直流时,这种约束常常失效,导致深度图普遍错误。在这项工作中,这些地板波动被建模为围绕由机器人运动学衍生的轴的旋转。然后对这些进行动态校准和补偿,从而获得更准确的深度图。现在使用所谓的广义动态图像模型来计算光流[S]。Negahdaripour, 1998]得到的深度图噪声要小得多。利用模糊推理来改善微分过程中添加的噪声的影响,我们展示了在未知杂乱静态环境中成功导航的先锋- ii移动机器人的实现
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引用次数: 0
期刊
ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.
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