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1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355)最新文献

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A vision system for object verification and localization based on local features 一种基于局部特征的物体验证与定位视觉系统
A. Baerveldt
An object verification and localization system should answer the question of whether an expected object is present in an image or not, i.e. verification, and if present where it is located. Such a system would be very useful for mobile robots for example for landmark recognition or for the fulfilment of certain tasks. In this paper we present an object verification and localization system specially adapted to the needs of mobile robots. The object model is based on a collection of local features derived from a small neighbourhood around automatically detected interest points. The learned representation of the object is then matched with the image under consideration. The tests, based on 90 images, showed a very satisfying tolerance to scale changes of up to 25%, to viewpoint variations of 20 degrees, to occlusion of up to 80% and to major background changes as well as to local and global illumination changes. The tests also showed that the verification capabilities are very good and that similar objects did not trigger any false verification.
对象验证和定位系统应该回答图像中是否存在预期对象的问题,即验证,以及是否存在该对象的位置。这样的系统对于移动机器人非常有用,例如用于地标识别或完成某些任务。本文提出了一种适应移动机器人需求的目标验证与定位系统。该对象模型是基于从自动检测到的兴趣点周围的小邻居中提取的局部特征的集合。然后将学习到的对象表示与正在考虑的图像进行匹配。基于90张图像的测试显示,对于高达25%的尺度变化、20度的视点变化、高达80%的遮挡、主要背景变化以及局部和全局照明变化的容忍度非常令人满意。测试还表明,该系统的验证能力非常好,类似物体不会触发任何错误的验证。
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引用次数: 18
A flexible exploration framework for map building 一个灵活的探索框架的地图建设
F. H. Wullschleger, K. Arras, S. J. Vestli
Presents a framework for exploration and incremental mapping of unknown environments. The framework allows for evaluation and comparison of different acquisition strategies. During exploration a visibility graph is constructed which holds correct topology information about the environment and provides a means for immediate planning in the partially known map. The framework has been implemented in simulation and on a real platform equipped with a 360 degree laser scanner, an algorithm for line and segment extraction and an extended Kalman filter for localization. Structured environments have been explored and mapped in a fully autonomous mode, simultaneously localizing the robot yielding results of satisfying precision. Limitations and problems of our implementation are discussed as well.
提出了一个探索和增量映射未知环境的框架。该框架允许对不同的收购策略进行评估和比较。在探索过程中,构建一个可见性图,它包含有关环境的正确拓扑信息,并在部分已知的地图中提供立即规划的手段。该框架已在仿真和实际平台上实现,该平台配备了360度激光扫描仪,线和段提取算法以及扩展的卡尔曼滤波器用于定位。以完全自主的模式探索和映射结构化环境,同时对机器人进行定位,得到令人满意的精度结果。本文还讨论了实现的局限性和存在的问题。
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引用次数: 18
Strategies for navigation of robot swarms to be used in landmines detection 机器人群导航策略在地雷探测中的应用
R. Cassinis, G. Bianco, A. Cavagnini, P. Ransenigo
The paper presents a novel approach to the detection of anti-personnel landmines that uses teams of cooperating robots. Following hints that originate both from classical robotics and from biology, we aim to define a set of search strategies suitable for use in an obstacle-cluttered, two-dimensional space. The paper presents the guidelines of the project, the search strategies that were developed, and a description of a simulator that was designed and implemented to test them. Brief reviews of the available techniques, of the sensor technologies, and of the current uses of robotic devices in humanitarian demining are also included.
本文提出了一种利用协作机器人团队探测杀伤地雷的新方法。根据经典机器人学和生物学的提示,我们的目标是定义一套适合在障碍物杂乱的二维空间中使用的搜索策略。本文介绍了该项目的指导方针,开发的搜索策略,以及设计和实现用于测试它们的模拟器的描述。还简要审查了现有的技术、传感器技术和目前在人道主义排雷中使用的机器人装置。
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引用次数: 50
Attention as selection-for-action: a scheme for active perception 注意作为行动的选择:一种主动感知的方案
C. Balkenius, Nils Hulth
Proposes three principles for attentional control of actions in autonomous robots. (1) Attention-as-action suggests that attentional shifts and the selection of the focus of attention should be seen as actions rather than as a purely sensory process. (2) Selection-for-action suggests that actions should be implicitly controlled by the current focus of attention. (3) Deictic reference is a method of referring to an external object without explicitly representing all of its properties. The three principles are illustrated in two examples: first for a mobile robot, and second for a visually controlled manipulator. In the second example, we also report two learning experiments where a robot picks out the correct focus of attention for a task based on reinforcement learning.
提出自主机器人动作注意控制的三个原则。(1)注意即行动(attention -as-action)认为注意转移和注意焦点的选择应被视为行动,而不是纯粹的感觉过程。(2)行动选择(Selection-for-action)认为行动应该受到当前注意焦点的隐性控制。(3)指示引用是一种引用外部对象而不显式表示其所有属性的方法。这三个原则用两个例子来说明:第一个是移动机器人,第二个是视觉控制的机械手。在第二个例子中,我们还报告了两个学习实验,其中机器人基于强化学习为任务挑选出正确的注意力焦点。
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引用次数: 26
Hierarchical decision-theoretic planning for autonomous robotic surveillance 自主机器人监控的分层决策理论规划
N. Massios, F. Voorbraak
Surveillance as a first step towards automating the planning of the movement of an autonomous surveillance robot. We extend a previous proposal (N. Massios and F. Voorbraak, 1998), by including some heuristics based on an abstract representation of the environment. We show, using a concrete example, how these heuristics allow computationally feasible, finite look-ahead versions of the decision-theoretic strategy to escape local minima, and to better approximate globally optimal solutions.
监控是实现自主监控机器人运动规划自动化的第一步。我们扩展了之前的建议(N. Massios和F. Voorbraak, 1998),通过包含一些基于环境抽象表示的启发式。通过一个具体的例子,我们展示了这些启发式方法如何允许决策理论策略的计算可行,有限的前瞻性版本来逃避局部最小值,并更好地近似全局最优解。
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引用次数: 10
Evolving the morphology of a compound eye on a robot 进化机器人复眼的形态
Lukas Lichtensteiger, Peter Eggenberger
Reports on an experiment in evolving the morphology of an artificial compound eye with 16 light sensors on a robot. A special robot was designed and constructed that is able to autonomously modify the angular positions of the individual light sensors within the compound eye. The task of the robot was to employ motion parallax to estimate a critical distance to obstacles. This task was achieved by adapting the morphology of the compound eye by an evolutionary algorithm while using a fixed neural network to control the robot.
机器人上具有16个光传感器的人工复眼的形态学进化实验报告。设计并制造了一种特殊的机器人,它能够自主地修改复眼内单个光传感器的角度位置。机器人的任务是利用运动视差来估计到障碍物的临界距离。该任务通过进化算法调整复眼的形态,同时使用固定的神经网络控制机器人来实现。
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引用次数: 94
Template-based state estimation of dynamic objects 基于模板的动态对象状态估计
D. Schulz
In order to plan their missions and to carry them out successfully, mobile robots operating in changing environments need to keep track of the state of objects. The perception of changes in the environment and the integration of changes into the robot's world model is therefore an important problem in mobile robotics. Most of today's systems plan their missions based on static models, thus limiting their applicability. We introduce a method to maintain environment models by estimating the state of changing objects, e.g. their current position and configuration, from sensor data. Unlike other methods, which acquire and maintain sub-symbolic environment models, our method automatically maintains a symbolic CAD model. The method proposed is a Bayesian state estimator which computes the maximum likelihood estimate of the state of a dynamic object by matching templates of the object against proximity information obtained by the robot. The algorithm employs Monte Carlo Markov localization to determine the robot's position in its environment. The localization provides a probability density of the robot's position, and matching takes this density into account, to achieve robust state estimates even while the robot is moving. Experiments carried out on a mobile robot in our office environment illustrate the capabilities of our approach with respect to the robustness of the state estimates.
为了规划并成功执行任务,在不断变化的环境中工作的移动机器人需要跟踪物体的状态。因此,感知环境变化并将变化融入机器人的世界模型是移动机器人中的一个重要问题。今天的大多数系统都是基于静态模型来规划任务的,因此限制了它们的适用性。我们介绍了一种通过从传感器数据估计变化对象的状态(例如它们的当前位置和配置)来维护环境模型的方法。与其他获取和维护子符号环境模型的方法不同,我们的方法可以自动维护一个符号CAD模型。该方法是一种贝叶斯状态估计器,通过将目标模板与机器人获得的接近信息进行匹配,计算动态目标状态的最大似然估计。该算法采用蒙特卡洛马尔可夫定位来确定机器人在环境中的位置。定位提供了机器人位置的概率密度,匹配考虑了这个密度,即使在机器人移动时也能实现鲁棒状态估计。在我们的办公环境中对移动机器人进行的实验说明了我们的方法在状态估计的鲁棒性方面的能力。
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引用次数: 4
Acceleration compensation using a Stewart platform on a mobile robot 基于Stewart平台的移动机器人加速度补偿
R. Graf, R. Dillmann
Transporting an object on a mobile platform always transfers accelerations to this object. In many cases this is undesirable, so a compensation would be helpful. There are passive systems, but they can only react and have no other use like manipulating. This paper presents a solution for both compensation of accelerations and precise and powerful manipulation. In order to achieve a compensation a Stewart platform is mounted on top of a mobile robot. Usually a Stewart platform is used to generate accelerations. In this application the acceleration vector of the robot is inverted and sent to the filter, which performs the platform motion depending on the robot movement. This filter handles all six degrees of freedom, so every movement can be taken into account, if it is determined by acceleration or inclination sensors. Furthermore, this combination is also a very precise docking system, since the Stewart platform can easily correct the uncertainty in the robot position.
在移动平台上移动一个物体总是会给这个物体传递加速度。在许多情况下,这是不可取的,所以补偿是有帮助的。有被动系统,但他们只能反应,没有其他用途,如操纵。本文提出了一种既能补偿加速度又能实现精确有力操纵的解决方案。为了实现补偿,在移动机器人上安装了Stewart平台。通常使用斯图尔特平台来产生加速度。在此应用中,机器人的加速度矢量被反转并发送给滤波器,滤波器根据机器人的运动执行平台运动。这个过滤器处理所有六个自由度,所以每个运动都可以考虑,如果它是由加速度或倾角传感器决定的。此外,这种组合也是一个非常精确的对接系统,因为Stewart平台可以很容易地纠正机器人位置的不确定性。
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引用次数: 10
Development of a visual object localization module for mobile robots 移动机器人视觉对象定位模块的开发
E. Sahin, P. Gaudiano
Reports preliminary results from the design and implementation of a visual object localization module for mobile robots. The module takes an object-based approach to visual processing and relies on a preprocessing step that segments objects from the image. By tracking the size and the eccentricity of the objects in the image while the robot is moving, the visual object localization module can determine the position of objects relative to the robot using the displacement obtained from its odometry. In localizing the objects, the module is designed to combine the results of two different techniques. The visual looming technique measures the distance to an object using the change in the size of the object on the image plane. This technique is to be complemented by a variant of the triangulation technique that can locate an object using the eccentricity of the object when viewed from two different points. The module-with the preprocessing algorithm-is being implemented to run in real-time on a mobile robot. Evaluation of the visual localization module is being done in an integrated system introduced in the article. The integrated system creates an environment for real-time evaluation of the module as well as other mapping and navigation algorithms for mobile robots.
报告了移动机器人视觉对象定位模块的设计和实现的初步结果。该模块采用基于对象的方法进行视觉处理,并依赖于从图像中分割对象的预处理步骤。视觉物体定位模块通过跟踪机器人运动时图像中物体的大小和偏心率,利用机器人测程得到的位移来确定物体相对于机器人的位置。在定位目标时,该模块旨在结合两种不同技术的结果。视觉隐现技术利用物体在图像平面上的大小变化来测量到物体的距离。该技术将由三角测量技术的一种变体加以补充,该技术可以在从两个不同的点观察时利用物体的偏心率来定位物体。这个带有预处理算法的模块正被用于在移动机器人上实时运行。在本文介绍的一个集成系统中对视觉定位模块进行了评估。集成系统为模块的实时评估以及移动机器人的其他地图和导航算法创建了一个环境。
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引用次数: 8
Multi-agent control system for the symmetric body robot 对称体机器人的多智能体控制系统
K. Nishikawa, H. Yokoi, Y. Kakazu
This paper describes a multi-agent control system for autonomous robots, especially, for the symmetric body robot (SBR). The SBR has several interesting characteristics: it has five symmetrical arms, each of them is driven twenty SMA-coils; and each of the five arms has an independent control board on the root of them. The SBR is completely symmetrical as far as detailed components. It has a high degree of freedom for changing its own body. For controlling the robot behaviors, we consider not only to create suitable action selection mechanisms, but also to study its physical body and the effect of changing its body shape. This paper shows some experiments of the autonomous robot that has the ability to change its own body shape actively.
本文介绍了一种自主机器人的多智能体控制系统,特别是对称体机器人的控制系统。SBR有几个有趣的特点:它有五个对称的臂,每个臂驱动二十个sma线圈;五个臂的根部都有一个独立的控制板。SBR在细节部件上是完全对称的。它有高度的自由度来改变自己的身体。为了控制机器人的行为,我们不仅要考虑创建合适的动作选择机制,还要研究机器人的物理身体和改变其身体形状的效果。本文介绍了具有主动改变自身体形能力的自主机器人的一些实验。
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引用次数: 3
期刊
1999 Third European Workshop on Advanced Mobile Robots (Eurobot'99). Proceedings (Cat. No.99EX355)
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