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Scheme for Evaluation and Reduction of Motion Artifacts in Mobile Vision Systems 移动视觉系统中运动伪影的评估与减少方案
Pub Date : 1900-01-01 DOI: 10.5220/0002209102380243
Christoph Walter, F. Penzlin, N. Elkmann
Artifacts like motion blur are a common problem for vision systems on mobile robots, especially when operating under low light conditions or when using high-resolution sensors. In this contribution we present a scheme for estimating the degree of motion artifacts, especially motion blur, present in a stream of individual camera images. A single quality estimate is derived per frame using data from an inertial measurement unit. Considering limited image processing capacity of resource-constrained mobile robots, we show a number of data processing strategies that are based upon the idea of congestion control by adaptive image rejection.
运动模糊等伪影是移动机器人视觉系统的常见问题,尤其是在低光照条件下或使用高分辨率传感器时。在这篇贡献中,我们提出了一种估计运动伪影程度的方案,特别是运动模糊,存在于单个相机图像流中。使用来自惯性测量单元的数据推导出每帧的单个质量估计。考虑到资源受限的移动机器人的图像处理能力有限,我们展示了一些基于自适应图像拒绝的拥塞控制思想的数据处理策略。
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引用次数: 1
Grasp configuration matching - using visual and tactile sensor information 掌握配置匹配-使用视觉和触觉传感器信息
Pub Date : 1900-01-01 DOI: 10.5220/0001633401170124
Madjid Boudaba, A. Casals
Finding the global shape of a grasped object directly from touch is time consuming and not highly reliable. This paper describes the relationship between visual features and grasp planning, and correlates visual and tactile information for a better description of the object’s shape and grasping points determination. The grasping process proposed is experimented with a three fingered robotic hand.
直接从触摸中找到被抓物体的整体形状既耗时又不可靠。本文描述了视觉特征与抓取规划之间的关系,并将视觉和触觉信息联系起来,以便更好地描述物体的形状和确定抓取点。用三指机械手对所提出的抓取过程进行了实验。
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引用次数: 0
A set approach to the simultaneous localization and map building - application to underwater robots 一套同时定位与地图生成方法在水下机器人中的应用
Pub Date : 1900-01-01 DOI: 10.5220/0001639000650069
L. Jaulin, F. Dabe, A. Bertholom, M. Legris
This paper proposes a set approach for the simultaneous localization and mapping (SLAM) in a submarine context. It shows that this problem can be cast into a constraint satisfaction problem which can be solve efficiently using interval analysis and propagation algorithms. The efficiency of the resulting propagation method is illustrated on the localization of submarine robot, named Redermor. The experiments have been collected by the GESMA (Groupe d’Etude Sous-Marine de l’Atlantique) in the Douarnenez Bay, in Brittany.
本文提出了一套潜艇环境下的同时定位与制图方法。结果表明,该问题可转化为约束满足问题,并可通过区间分析和传播算法有效地求解。以水下机器人Redermor的定位为例,说明了所得到的传播方法的有效性。实验由GESMA (Groupe d 'Etude Sous-Marine de l ' atlanantique)在布列塔尼的douarneez湾收集。
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引用次数: 6
Two layer control strategy applied to building automation 二层控制策略在楼宇自动化中的应用
Pub Date : 1900-01-01 DOI: 10.5220/0001201802100216
J. Figueiredo, J. S. D. Costa
A two level hierarchical control strategy is developed over a network of distributed systems. This paper shows the great potential of a control strategy over two layers distributed local controls which are connected with an intelligent centralized control, which has a global view over the system, and permits an actualization of the local references, knowing the complete state of the entire system The tested prototype worked perfectly showing the huge potential of communication systems between distributed processes. These communication systems allow intelligent centralized algorithms to manage decision making problems in real-time environments. The system presented in this paper combines several technologies (local PLCs, SCADA systems and network communications) to reach the goal of efficient management of distributed processes.
在分布式系统网络中,提出了一种两级分层控制策略。本文展示了两层分布式局部控制控制策略的巨大潜力,这些控制策略与智能集中控制相连接,具有系统的全局视图,并允许局部参考的实现,了解整个系统的完整状态。测试的原型工作完美,显示了分布式进程之间通信系统的巨大潜力。这些通信系统允许智能集中算法在实时环境中管理决策问题。本文提出的系统结合了多种技术(本地plc、SCADA系统和网络通信)来实现对分布式过程的高效管理。
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引用次数: 2
Cooperative map building using qualitative reasoning for several AIBO robots 基于定性推理的AIBO机器人协同地图构建
Pub Date : 1900-01-01 DOI: 10.5220/0001218502290234
Raquel Ros Espinoza, R. L. D. Mántaras, J. P. Gruart
The problem that a robot navigates autonomously through its environment, builds its own map and localizes itself in the map, is still an open problem. It is known as the SLAM (Simultaneous Localization and Map Building) problem. This problem is made even more difficult when we have several robots cooperating to build a common map of an unknown environment, due to the problem of map integration of several submaps built independently by each robot, and with a high degree of error, making the map matching specially difficult. Most of the approaches to solve map building problems are quantitative, resulting in a great computational cost and a low level of abstraction. In order to fulfil these drawbacks qualitative models have been recently used. However, qualitative models are non deterministic. Therefore, the solution recently adopted has been to mix both qualitative and quantitative models to represent the environment and build maps. However, no reasoning process has been used to deal with the information stored in maps up to now, therefore maps are only static storage of landmarks. In this paper we propose a novel method for cooperative map building based on hybrid (qualitative+quantitative) representation which includes also a reasoning process. Distinctive landmarks acquisition for map representation is provided by the cognitive vision and infrared modules which compute differences from the expected data according to the current map and the actual information perceived. We will store in the map the relative orientation information of the landmarks which appear in the environment, after a qualitative reasoning process, therefore the map will be independent of the point of view of the robot. Map integration will then be achieved by localizing each robot in the maps made by the other robots, through a process of pattern matching of the hybrid maps elaborated by each robot, resulting in an integrated map which all robots share, and which is the main objective of this work. This map building method is currently being tested on a team of Sony AIBO four
机器人在其环境中自主导航,建立自己的地图并在地图中定位自己的问题仍然是一个悬而未决的问题。这被称为SLAM(同时定位和地图构建)问题。当我们有几个机器人合作构建一个未知环境的公共地图时,这个问题变得更加困难,因为每个机器人独立构建的几个子地图的地图集成问题,并且具有很高的误差,使得地图匹配变得特别困难。大多数解决地图构建问题的方法都是定量的,这导致了巨大的计算成本和较低的抽象水平。为了弥补这些缺陷,最近使用了定性模型。然而,定性模型是不确定的。因此,最近采用的解决方案是混合定性和定量模型来表示环境和构建地图。然而,到目前为止,还没有使用推理过程来处理地图中存储的信息,因此地图只是地标的静态存储。本文提出了一种基于混合(定性+定量)表示的协作地图构建新方法,该方法还包括一个推理过程。认知视觉和红外模块根据当前地图和实际感知信息计算预期数据的差异,为地图表示提供独特的地标获取。我们会在地图中存储环境中出现的地标的相对方位信息,经过定性的推理过程,因此地图将独立于机器人的视角。然后,通过对每个机器人制作的混合地图进行模式匹配的过程,将每个机器人定位到其他机器人制作的地图中,从而获得所有机器人共享的集成地图,从而实现地图集成,这是本工作的主要目标。这种地图构建方法目前正在索尼AIBO四人团队中进行测试
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引用次数: 1
Trajectory planning using oscillatory chirp functions applied to bipedal locomotion 轨迹规划利用振荡啁啾函数应用于两足运动
Pub Date : 1900-01-01 DOI: 10.5220/0001643600700075
Fernando Juan Berenguer Císcar, F. Monasterio-Huelin
This work presents a method for planning sinusoidal trajectories for an actuated joint, so that the oscillation frequency follows linear profiles, like trapezoidal ones, defined by the user or by a high level planner. The planning method adds a cubic polynomial function for the last segment of the trajectory in order to reach a desired final position of the joint. We apply this planning method to an underactuated bipedal mechanism which gait is generated by the oscillatory movement of its tail. Using linear frequency profiles allow us to modify the speed of the mechanism and to study the efficiency of the system at different speed values.
这项工作提出了一种为驱动关节规划正弦轨迹的方法,使振荡频率遵循由用户或高级规划人员定义的线性轮廓,如梯形。该规划方法在轨迹的最后一段增加一个三次多项式函数,以达到期望的关节最终位置。将该规划方法应用于欠驱动双足机构,该机构的步态是由其尾部的振荡运动产生的。利用线性频率分布,我们可以修改机构的速度,并研究系统在不同速度值下的效率。
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引用次数: 3
Threedimensional Tracking using Object Defocus - In Twodimensional Scanning Electron Microscope Images 利用物体离焦的三维跟踪-二维扫描电子显微镜图像
Pub Date : 1900-01-01 DOI: 10.5220/0002209200720078
C. Dahmen
This paper proposes a tracking algorithm for the extraction of threedimensional position data from SEM images. An algorithm based on active contours with region-based minimization is chosen as basis for twodimensional tracking. This algorithm is then augmented by the incorporation of defocus analysis to estimate the out-of-focus displacement of the object. To solve the ambiguity of the out-of-focus displacement, the astigmatism of the SEM images is used. The separate calculation of variances for the rows and columns of the image enables a successful direction estimation. With the information on the direction, the out-of-focus displacement and the working distance of the acquired image, the distance of the object to the electron gun can be calculated. In combination with the twodimensional part of the tracking, a full threedimensional coordinate set is generated. The approach is tested and evaluated using a positioning setup and the principal feasibility is shown.
提出了一种从扫描电镜图像中提取三维位置数据的跟踪算法。选择一种基于活动轮廓的区域最小化算法作为二维跟踪的基础。在此基础上,对该算法进行了扩充,加入了离焦分析来估计物体的离焦位移。为了解决离焦位移的模糊性,利用了扫描电镜图像的像散。单独计算图像的行和列的方差可以实现成功的方向估计。利用获取的图像的方向、离焦位移和工作距离信息,可以计算出目标到电子枪的距离。结合跟踪的二维部分,生成一个完整的三维坐标集。利用定位装置对该方法进行了测试和评估,并证明了该方法的主要可行性。
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引用次数: 2
Hierarchical Probabilistic Estimation of Robot Reachable Workspace 机器人可达工作空间的层次概率估计
Pub Date : 1900-01-01 DOI: 10.5220/0002205600600066
J. Yang, Patrick W. Dymond, M. Jenkin
Estimating a robot’s reachable workspace is a fundamental problem in robotics. For simple kinematic chains within an empty environment this computation can be relatively straightforward. For mobile kinematic structures and cluttered environments, the problem becomes more challenging. An efficient probabilistic method for workspace estimation is developed by applying a hierarchical strategy and developing extensions to a probabilistic motion planner. Rather than treating each of the degrees of freedom (DOFs) ‘equally’, a hierarchical representation is used to maximize the volume of the robot’s workspace that is identified as reachable for each probe of the environment. Experiments with a simulated mobile manipulator demonstrate that the hierarchical approach is an effective alternative to the use of an estimation process based on the use of a traditional probabilistic planner.
估计机器人的可达工作空间是机器人技术中的一个基本问题。对于空环境中的简单运动链,这种计算相对简单。对于移动的运动学结构和混乱的环境,这个问题变得更具挑战性。通过对概率运动规划器的扩展,提出了一种有效的概率工作空间估计方法。与其“平等”地对待每个自由度(dof),不如使用分层表示来最大化机器人工作空间的体积,该工作空间被识别为环境的每个探针都可以到达。模拟移动机械臂的实验表明,分层方法是基于传统概率规划器估计过程的有效替代方法。
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引用次数: 1
Reactive simulation for real-time obstacle avoidance 实时避障反应仿真
Pub Date : 1900-01-01 DOI: 10.1007/978-3-540-79142-3_20
M. Cecco, E. Marcuzzi, L. Baglivo, M. Zaccariotto
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引用次数: 2
A Practical Stereo System based on Regularization and Texture Projection 一种实用的基于正则化和纹理投影的立体系统
Pub Date : 1900-01-01 DOI: 10.5220/0002167800050012
Federico Tombari, K. Konolige
In this paper we investigate the suitability of stereo vision for robot manipulation tasks, which require highfidelity real-time 3D information in the presence of motion. We compare spatial regularization methods for stereo and spacetime stereo, the latter relying on integration of information over time as well as space. In both cases we augment the scene with textured projection, to alleviate the well-known problem of noise in lowtextured areas. We also propose a new spatial regularization method, local smoothing, that is more efficient than current methods, and produces almost equivalent results. We show that in scenes with moving objects spatial regularization methods are more accurate than spacetime stereo, while remaining computationally simpler. Finally, we propose an extension of regularization-based algorithms to the temporal domain, so to further improve the performance of regularization methods within dynamic scenes.
在本文中,我们研究了立体视觉在机器人操作任务中的适用性,这些任务需要高保真的实时3D信息。我们比较了立体和时空立体的空间正则化方法,后者依赖于信息随时间和空间的整合。在这两种情况下,我们都用纹理投影来增强场景,以缓解低纹理区域中众所周知的噪声问题。我们还提出了一种新的空间正则化方法——局部平滑,它比现有的方法更有效,并且产生几乎相同的结果。我们表明,在有运动物体的场景中,空间正则化方法比时空立体更准确,同时计算更简单。最后,我们提出了将基于正则化的算法扩展到时域,从而进一步提高正则化方法在动态场景中的性能。
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引用次数: 6
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ICINCO-RA
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