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Proceedings of the 2005 IEEE International Conference on Robotics and Automation最新文献

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Stability and Robustness Analysis of the AURORA Airship Control System using Dynamic Inversion 基于动态反演的AURORA飞艇控制系统稳定性和鲁棒性分析
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570450
Alexandra Moutinho, J. Azinheira
This paper presents a stability and robustness analysis of a nonlinear control system for the autonomous airship of the AURORA project. A Dynamic Inversion controller is implemented with desired dynamics given by a linear optimal compensator. The stability analysis of the nonlinear system is done applying Lyapunov’s stability theory. Robustness tests are performed in order to verify the nonlinear controller performance in face of disturbances and model parameters errors. The results obtained illustrate the overall system robustness, and point at the most sensitive model parameters of the AURORA airship, for which a more careful identification/determination should be carried.
本文对AURORA项目自主飞艇非线性控制系统的稳定性和鲁棒性进行了分析。利用线性最优补偿器给出的期望动态,实现了动态逆控制器。应用李雅普诺夫稳定性理论对非线性系统进行了稳定性分析。为了验证非线性控制器在面对干扰和模型参数误差时的性能,进行了鲁棒性测试。得到的结果说明了整个系统的鲁棒性,并指出了极光飞艇最敏感的模型参数,对于这些参数需要进行更仔细的识别/确定。
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引用次数: 68
Force and Acceleration Sensor Fusion for Compliant Robot Motion Control 柔性机器人运动控制的力与加速度传感器融合
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570523
J. García, A. Robertsson, J. Ortega, Rolf Johansson
In this work, we present implementation and experiment of the theory of dynamic force sensing for robotic manipulators, which uses a sensor fusion technique in order to extract the contact force exerted by the end-effector of the manipulator from those measured by a wrist force sensor, which are corrupted by the inertial forces on the end-effector. We propose a new control strategy based on multisensor fusion with three different sensors— that is, encoders mounted at each joint of the robot with six degrees of freedom, a wrist force sensor and an accelerometer— whose goal is to obtain a suitable contact force estimator for the three Cartesian axes. This new observer contributes to overcome many of the difficulties of uncertain world models and unknown environments, which limit the domain of application of currents robots used without external sensory feedback. An impedance control scheme was proposed to verify the improvement. The experiments were carried out on an ABB industrial robot with open control system architecture.
在这项工作中,我们提出了机械臂动态力传感理论的实现和实验,该理论使用传感器融合技术从手腕力传感器测量的机械臂末端执行器施加的接触力中提取出末端执行器施加的接触力,这些接触力被末端执行器上的惯性力破坏。提出了一种基于三种不同传感器的多传感器融合控制策略,即在六自由度机器人的每个关节安装编码器,腕部力传感器和加速度计,其目标是获得适合三个笛卡尔轴的接触力估计器。这种新的观测器有助于克服不确定世界模型和未知环境的许多困难,这些困难限制了当前没有外部感官反馈的机器人的应用领域。提出了一种阻抗控制方案来验证改进的有效性。实验在开放式控制系统架构的ABB工业机器人上进行。
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引用次数: 30
Signal Separation Coding for Robust Depth Imaging Based on Structured Light 基于结构光的鲁棒深度成像信号分离编码
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570802
Sukhan Lee, Jongmoo Choi, DaeSik Kim, Jaekeun Na, Seungsub Oh
This paper presents an original approach to coding the light patterns for robust depth imaging based on structured light. We have discovered that the degradation of precision and robustness, seen in most conventional approaches to structured light, comes mainly from the overlapping of multiple codes in the signal received at a camera pixel, where the overlapped codes are from the neighbouring and/or, even, distant pixels of the projecting mirror array. Considering the criticality of separating the overlapped codes to precision and robustness, we propose a novel signal separation code, referred to here as “Hierarchical Orthogonal Code (HOC),” for depth imaging. HOC provides not only the separation of overlapped codes, but also a robust decision on pixel correspondence with error correction based on a contextual likelihood among the sets of separated codes from neighbouring camera pixels. The experimental results have shown that the proposed HOC significantly enhances the robustness and precision in depth imaging, compared to the best known conventional approaches. The proposed approach opens a greater feasibility of applying structured light based depth imaging to a 3D modelling of cluttered workspace for home service robots.
提出了一种基于结构光的鲁棒深度成像光模式编码方法。我们发现,在大多数传统的结构光方法中,精度和鲁棒性的下降主要来自于在相机像素处接收到的信号中多个代码的重叠,其中重叠的代码来自投影镜阵列的邻近和/或甚至是遥远的像素。考虑到分离重叠码对精度和鲁棒性的重要性,我们提出了一种新的信号分离码,这里称为“分层正交码(HOC)”,用于深度成像。HOC不仅提供了重叠代码的分离,而且还提供了基于与相邻相机像素分离的代码集之间的上下文可能性的纠错的像素对应的鲁棒决策。实验结果表明,与传统方法相比,该方法显著提高了深度成像的鲁棒性和精度。提出的方法为将基于结构光的深度成像应用于家庭服务机器人杂乱工作空间的3D建模提供了更大的可行性。
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引用次数: 24
GPC versus H∞ Control for Fast Visual Servoing of a Medical Manipulator including Flexibilities GPC vs H∞包含柔性的医疗机械臂快速视觉伺服控制
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570740
L. Cuvillon, E. Laroche, J. Gangloff, M. Mathelin
In this paper is considered fast visual servoing of a two-links arm including flexibilities for compensation of heart movements in surgery. The flexibilities are globally identified with no additional sensor than the external-500 Hz camera used in the visual servoing loop. The obtained model is valid around the working position of the arm and can be easily modified for new positions of the camera. Two control strategies to handle flexibilities and achieve high bandwidth are implemented: Generalized Predictive Control (GPC) and H∞ control. Simulation and experimental results are given allowing to compare their efficiencies.
本文研究了外科手术中具有补偿心脏运动灵活性的双连杆臂的快速视觉伺服。除了视觉伺服回路中使用的外部500 Hz摄像机外,没有其他传感器可以全局识别灵活性。所得到的模型在臂的工作位置周围是有效的,并且可以很容易地根据相机的新位置进行修改。实现了两种控制策略:广义预测控制(GPC)和H∞控制,以处理灵活性和实现高带宽。给出了仿真和实验结果,以便比较它们的效率。
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引用次数: 21
Prototype of Instrument for Minimally Invasive Surgery with 6-Axis Force Sensing Capability 具有六轴力传感能力的微创手术器械原型
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570167
U. Seibold, Bernhard Kübler, G. Hirzinger
Minimally invasive surgery (MIS) challenges the surgeon’s skills due to his separation from the operation area which can only be reached with long instruments. To overcome these drawbacks, minimally invasive robotic surgery (MIRS) plays an important role. This paper describes the development of actuated and sensorized instruments for minimally invasive robotic surgery which help to increase the surgeon’s immersion and dexterity.
微创手术(MIS)对外科医生的技术提出了挑战,因为它与手术区域的分离只能用长器械到达。为了克服这些缺点,微创机器人手术(MIRS)发挥了重要作用。本文介绍了用于微创机器人手术的驱动和传感仪器的发展,这些仪器有助于提高外科医生的沉浸性和灵活性。
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引用次数: 226
Fast Line, Arc/Circle and Leg Detection from Laser Scan Data in a Player Driver 快速线,弧/圆和腿检测从激光扫描数据在播放器驱动程序
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570721
J. Xavier, M. Pacheco, D. Castro, A. Ruano, U. Nunes
A feature detection system has been developed for real-time identification of lines, circles and people legs from laser range data. A new method suitable for arc/circle detection is proposed: the Inscribed Angle Variance (IAV). Lines are detected using a recursive line fitting method. The people leg detection is based on geometrical relations. The system was implemented as a plugin driver in Player, a mobile robot server. Real results are presented to verify the effectiveness of the proposed algorithms in indoor environment with moving objects.
为了从激光测距数据中实时识别线条、圆圈和人腿,开发了一种特征检测系统。提出了一种适用于圆弧/圆检测的新方法:内切角方差(IAV)。使用递归线拟合方法检测线。人体腿的检测是基于几何关系的。该系统以插件驱动的形式在移动机器人服务器Player中实现。实验结果验证了该算法在室内运动物体环境下的有效性。
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引用次数: 218
Robot Visual Navigation in Semi-structured Outdoor Environments 半结构化室外环境中的机器人视觉导航
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570844
D. Mateus, J. Aviña-Cervantes, M. Devy
This work describes a navigation framework for robots in semi-structured outdoor environments which enables planning of semantic tasks by chaining of elementary visual-based movement primitives. Navigation is achieved by understanding the underlying world behind the image and using these results as a guideline to control the robot. As retrieving semantic information from vision is computationally demanding, short-term tasks are planned and executed while new vision information is processed. Thanks to learning techniques, the methods are adapted to different environment conditions. Fusion and filtering techniques provide reliability and stability to the system. The procedures have been fully integrated and tested with a real robot in an experimental environment. Results are discussed.
这项工作描述了半结构化户外环境中机器人的导航框架,该框架可以通过链接基本的基于视觉的运动原语来规划语义任务。导航是通过理解图像背后的潜在世界,并使用这些结果作为控制机器人的指导方针来实现的。由于从视觉中检索语义信息需要大量的计算量,因此在处理新视觉信息的同时,需要规划和执行短期任务。由于学习技巧,这些方法可以适应不同的环境条件。融合和滤波技术为系统提供了可靠性和稳定性。这些程序已经完全集成,并在一个真实的机器人在实验环境中进行了测试。对结果进行了讨论。
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引用次数: 32
The Degree of Freedom of Parallel Robots: A Group-Theoretic Approach 并联机器人的自由度:一种群论方法
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570248
J. Angeles
Current interest in the design of novel architectures for parallel robots with less than six degrees of freedom (dof) has called for a revisiting of the dof determination of a multiloop kinematic chain. The paper attempts to shed some light on the issue by resorting to the theory of groups, as first proposed by Hervé in 1978. The concepts, illustrated with various examples, should help robot designers produce novel architectures that would be difficult to devise otherwise.
当前对小于六自由度并联机器人的新型结构设计的兴趣要求对多环运动链的自由度确定进行重新研究。这篇论文试图借助herv于1978年首次提出的群体理论来阐明这个问题。这些概念,用各种各样的例子来说明,应该有助于机器人设计师创造出新的架构,否则很难设计出来。
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引用次数: 35
Implementation of Multi-valued Fuzzy Behavior Control for Robot Navigation in Cluttered Environments 混沌环境下机器人导航的多值模糊行为控制
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570682
M. Selekwa, D. Dunlap, E. Collins
Navigation in environments that are densely cluttered with obstacles is still a challenge for Autonomous Ground Vehicles (AGVs), especially when the configuration of obstacles is not known a priori. Reactive local navigation schemes that tightly couple the robot actions to the sensor information have proved to be effective in these environments, and because of the environmental uncertainties, fuzzy behavior systems have been proposed. The most difficult problem in applying these systems is that of arbitrating or fusing the reactions of the individual behaviors. This paper presents an architectural design of a fuzzy behavior based system for navigation control of robotic vehicles using multivalued reactive fuzzy behaviors. This design allows the robot to thoroughly use the available sensor information when choosing the control action to be taken. Experimental results show that the proposed method can smoothly and effectively guide a robot through cluttered environments such as dense forests.
对于自动地面车辆(agv)来说,在障碍物密集的环境中导航仍然是一个挑战,尤其是在障碍物的配置未知的情况下。在这些环境中,将机器人动作与传感器信息紧密耦合的响应式局部导航方案被证明是有效的,由于环境的不确定性,模糊行为系统被提出。应用这些系统最困难的问题是如何仲裁或融合个体行为的反应。提出了一种基于模糊行为的机器人导航控制系统的体系结构设计,该系统采用多值反应模糊行为。这种设计允许机器人在选择要采取的控制动作时充分利用可用的传感器信息。实验结果表明,该方法能够平稳有效地引导机器人通过茂密森林等杂乱环境。
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引用次数: 25
Experimental Studies of a Neural Oscillator for Biped Locomotion with QRIO 基于QRIO的两足运动神经振荡器实验研究
Pub Date : 2005-04-18 DOI: 10.1109/ROBOT.2005.1570183
G. Endo, J. Nakanishi, J. Morimoto, G. Cheng
Recently, there has been a growing interest in biologically inspired biped locomotion control with Central Pattern Generator (CPG). However, few experimental attempts on real hardware 3D humanoid robots have yet been made. Our goal in this paper is to present our achievement of 3D biped locomotion using a neural oscillator applied to a humanoid robot, QRIO. We employ reduced number of neural oscillators as the CPG model, along with a task space Cartesian coordinate system and utilizing entrainment property to establish stable walking gait. We verify robustness against lateral perturbation, through numerical simulation of stepping motion in place along the lateral plane. We then implemented it on the QRIO. It could successfully cope with unknown 3mm bump by autonomously adjusting its stepping period. Sagittal motion produced by a neural oscillator is introduced, and then overlapped with the lateral motion generator in realizing 3D biped locomotion on a QRIO humanoid robot.
近年来,人们对利用中央模式发生器(Central Pattern Generator, CPG)进行仿生双足运动控制的研究越来越感兴趣。然而,在真正的硬件三维人形机器人上的实验尝试还很少。我们在本文中的目标是展示我们使用神经振荡器应用于类人机器人QRIO的3D双足运动的成就。我们采用减少的神经振子数量作为CPG模型,结合任务空间笛卡尔坐标系,利用夹带特性建立稳定的步行步态。通过沿横向平面的步进运动的数值模拟,验证了对横向扰动的鲁棒性。然后我们在QRIO上实现了它。它可以通过自主调整步进周期,成功应对未知的3mm颠簸。引入神经振荡器产生矢状运动,然后与横向运动发生器叠加,实现QRIO仿人机器人的双足三维运动。
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引用次数: 148
期刊
Proceedings of the 2005 IEEE International Conference on Robotics and Automation
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