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Proceedings of the Fifth International Workshop on Robot Motion and Control, 2005. RoMoCo '05.最新文献

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Fractional order adaptive control for systems of locally nonlinearizable nonlinearities 局部非线性非线性系统的分数阶自适应控制
J. Tar, A. Bencsik, K. Kozlowski
In this paper electromagnetic servo valve controlled differential hydraulic cylinders are considered as paradigms of non-linear systems that have locally nonlinearizable nonlinearities. One of them is of hydrodynamic origin: the flow resistance of the system is proportional to the square root of certain pressure difference that has infinite derivative at zero. The other nonlinearity is caused by the discontinuous behavior of the friction and adhesion forces between the piston and the cylinder at zero piston velocity. Such a behavior is difficult to control by the traditional PID controllers. Furthermore, uncertainties and variation of the hydrodynamic parameters in general make it unrealistic to develop an accurate model for such systems. Brocker and Lemmen proposed two different control approaches for the differential hydraulic cylinders based on the disturbance rejection, and on the partial flatness principles, respectively. In each case it was necessary to measure the external disturbance force and its time-derivative as well as to know the exact model of the system. Later on Tar et al. proposed an alternative adaptive approach that does not require to measure the disturbance force and to know the exact parameters of the cylinder. This method rejected to use time-derivatives because of the presence of friction, and, as a consequence it resulted in a very hectic transient phase of learning. In this paper an alternative approach is presented that combines this approach with the use of calculated time-derivatives that are "rejected" by adoptively varying the order of the derivation applied. In this way the harsh initial transients can be evaded. The operation of the method is presented by simulations.
本文将电磁伺服阀控制的差动液压缸视为具有局部非线性的非线性系统的典型。其中之一是流体力学的起源:系统的流动阻力与某一压力差的平方根成正比,该压力差在零处有无穷导数。另一种非线性是由活塞与气缸之间的摩擦力和附着力在活塞速度为零时的不连续行为引起的。这种行为是传统PID控制器难以控制的。此外,一般情况下,水动力参数的不确定性和变化使得为此类系统建立精确的模型是不现实的。Brocker和Lemmen分别基于扰动抑制原理和部分平整度原理提出了两种不同的差动液压缸控制方法。在每种情况下,都需要测量外部扰动力及其时间导数,并知道系统的精确模型。后来,Tar等人提出了一种替代的自适应方法,该方法不需要测量扰动力,也不需要知道气缸的确切参数。由于存在摩擦,这种方法拒绝使用时间导数,结果导致学习的短暂阶段非常繁忙。在本文中,提出了一种替代方法,将这种方法与使用计算的时间导数相结合,通过采用改变应用的导数的顺序来“拒绝”。这样就可以避免严酷的初始瞬态。通过仿真验证了该方法的有效性。
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引用次数: 2
Calculation of robot parameters based on neural nets 基于神经网络的机器人参数计算
A. Lesewed, J. Kurek
The paper describes applications of recurrent neural network and back propagation learning method for calculation of mathematical model for PUMA 560 robot. The model is based on the Lagrange-Euler formulation and described by a set of nonlinear differential and algebraic equations. A numerical example has shown the comparison of neural model and robot manipulator.
介绍了递归神经网络和反向传播学习方法在PUMA 560机器人数学模型计算中的应用。该模型基于拉格朗日-欧拉公式,由一组非线性微分方程和代数方程描述。通过数值算例对神经网络模型与机械臂进行了比较。
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引用次数: 3
The robot assistant system for surgeon in laparoscopic interventions 外科医生腹腔镜手术的机器人辅助系统
P. Sauer, K. Kozlowski, D. Pazderski, W. Waliszewski, Przemyslaw Jeziorek
This paper presents a concept of multi-level control system for minimal invasive surgery (MIS). The overall system is based on the Staubli robot which plays a role of a robotic assistant for surgeons in laparoscopic cholecystectomy. The desired movement of the end effector is obtained by a movement of a joystick or commands from the speech recognition system. In this paper, we present experimental results of control of the Staubli RX60 robot which has been used as the robot assistant. The system is named ASYSTANT.
本文提出了一种微创手术多级控制系统的概念。整个系统是基于Staubli机器人,它在腹腔镜胆囊切除术中扮演着外科医生的机器人助手的角色。末端执行器的期望运动通过操纵杆的运动或来自语音识别系统的命令获得。本文给出了作为机器人助手的Staubli RX60机器人的控制实验结果。系统命名为ASYSTANT。
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引用次数: 2
Inverse optimal tracking control of an aerial blimp robot 空中飞艇机器人的逆最优跟踪控制
T. Fukao, T. Kanzawa, K. Osuka
Inverse optimal tracking control is applied to an aerial blimp which is one of the underactuated systems. In the inverse optimal control approach, a controller is designed by using a control Lyapunov function and Sontag's formula. The controller minimizes some meaningful cost dependent on the controller, which is not given in advance, and the designed system has a stability margin which guarantees robustness with respect to input uncertainties. This robust property is a very important issue for a blimp which has large uncertainties. Some experiments are performed by using an indoor blimp.
将逆最优跟踪控制应用于欠驱动的空中飞艇系统。在逆最优控制方法中,利用控制李雅普诺夫函数和Sontag公式设计控制器。控制器使依赖于控制器的一些有意义的成本最小化,这是事先没有给定的,并且设计的系统具有稳定裕度,以保证相对于输入不确定性的鲁棒性。对于具有较大不确定性的飞艇来说,这种鲁棒性是一个非常重要的问题。一些实验是用室内飞艇进行的。
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引用次数: 16
GPS-based localization for a surveillance UGV in outdoor areas 一种基于gps的户外监视无人车定位方法
F. Capezio, A. Sgorbissa, R. Zaccaria
The ANSER project (airport night surveillance expert robot) is described, exploiting a mobile robot for autonomous surveillance in civilian airports and similar wide outdoor areas. The paper focuses on the localization subsystem of the patrol robot: in contrast with most approaches in literature, we show how a positioning subsystem composed exclusively of a non-differential GPS unit (i.e., without inertial sensors) is enough to ensure accurate estimates of the robot's position and orientation, under the assumption of nonholonomic kinematics.
描述了ANSER项目(机场夜间监视专家机器人),利用移动机器人在民用机场和类似的广阔室外区域进行自主监视。本文重点研究了巡逻机器人的定位子系统:与文献中的大多数方法相比,我们展示了在非完整运动学假设下,仅由非差分GPS单元(即没有惯性传感器)组成的定位子系统如何足以确保机器人位置和方向的准确估计。
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引用次数: 47
Snail surgeon: a new robotic system for minimally invasive surgery 蜗牛外科医生:用于微创手术的新型机器人系统
F. Cepolina, M. Zoppi
The paper discusses the architecture and the workspace of a special modular surgical robot designed for minimally invasive surgery (keyhole surgery). The surgeon can be asked to operate on an organ not directly reachable through any keyhole opened on the patient abdomen, e.g. due to the presence of other organs surrounding it. In this case, an alternative to complex and dangerous displacement operations of the surrounding organs inside the patient is the use of a highly dexterous robotic arm able to reach the operating region by moving around the organs. The paper proposes a mini robot composed of modules with different mobility connected in series through mechanical/power/control interfaces. The workspace and performances of the robot can be adapted to the particular surgical operation to be carried out by changing the composition of the chain (type and position of the modules). Data stored in a database allow the easy determination of the workspace and provide information about the velocity ellipsoids and the presence of singularities. With reference to the results of the preoperative exams and by means of the information stored in the database, the best robot architecture, for the surgical operation to be carried out, can be selected.
本文讨论了一种用于微创手术(锁眼手术)的专用模块化手术机器人的结构和工作空间。外科医生可以被要求对一个不能通过病人腹部上的任何锁孔直接接触到的器官进行手术,例如,由于该器官周围存在其他器官。在这种情况下,除了对患者体内周围器官进行复杂而危险的移位手术外,另一种选择是使用高度灵巧的机械臂,该机械臂能够通过在器官周围移动来到达手术区域。本文提出了一种由不同机动性的模块通过机械/电源/控制接口串联而成的微型机器人。通过改变链条的组成(模块的类型和位置),可以使机器人的工作空间和性能适应特定的外科手术。存储在数据库中的数据可以方便地确定工作空间,并提供有关速度椭球体和奇点存在的信息。参考术前检查的结果,通过数据库中存储的信息,可以为将要进行的手术选择最佳的机器人结构。
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引用次数: 5
Design of a tracking controller-observer system for a mobile robot 移动机器人跟踪控制器-观测器系统的设计
E. Jarzębowska
The paper presents a model-based tracking control strategy for a mobile robot based on a controller design that uses only position and orientation measurement. This model-based tracking strategy is the programmed motion tracking originally developed under the assumption that the foil state of a system is available for measurement. To meet practical requirements that not all state variables are accessible, we develop the programmed motion tracking for a mobile robot using only position and orientation measurement. Our approach exploits a structure of a control dynamics of the mobile robot.
本文提出了一种基于模型的移动机器人跟踪控制策略,该策略基于仅使用位置和姿态测量的控制器设计。这种基于模型的跟踪策略是最初在假设系统的箔状状态可测量的前提下发展起来的程序化运动跟踪。为了满足并非所有状态变量都可访问的实际要求,我们开发了仅使用位置和方向测量的移动机器人的程序化运动跟踪。我们的方法利用了移动机器人的控制动力学结构。
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引用次数: 1
Implementation of position-force control in MRROC++ MRROC++中位置-力控制的实现
Tomasz Winiarski, C. Zieliński
The paper concentrates on the way that position-force control has been implemented in the MRROC++ robot programming framework. Moreover, a position-force control based application is presented. Besides executing the control task the controller collected experimental data enabling the evaluation of the implementation of the control scheme.
本文重点研究了在MRROC++机器人编程框架中位置-力控制的实现方法。此外,还提出了一种基于位置力控制的应用。除了执行控制任务外,控制器还收集实验数据,以便对控制方案的实施进行评估。
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引用次数: 8
Methods based on ordered fuzzy numbers used in fuzzy control 基于有序模糊数的模糊控制方法
Piotr Prokopowicz
The model of the ordered fuzzy numbers (OFN) has been defined and explored in the recent publications of the author and his co-workers (2003 and 2004). It provides a quite simple representation of non-precise information and algebraic operations on them. If one performs many operations on OFN's then the fuzziness of their results is limited in contrast to the operations on standard convex fuzzy numbers. The implementation of OFN in a fuzzy controller is made. The controller makes use of multi-conditional fuzzy rules. New methods of determining their levels of activities are proposed as well inference methods based on special properties of OFNs. Fuzzy control is applied here to a hypothetical process of moving device (can be related to car, robot, etc.). Proposed control uses the readings from two devices: actual speed and distance to a critical (boundary) point, which cannot be achieved. The control variable is the applying acceleration. Goal of the control is to keep the device in a safe distance from the critical point.
有序模糊数(OFN)的模型已经在作者和他的同事(2003年和2004年)最近的出版物中进行了定义和探索。它提供了一个非常简单的非精确信息的表示和对它们的代数运算。如果对凸模糊数进行多次运算,则其结果的模糊性与对标准凸模糊数的运算相比是有限的。给出了OFN在模糊控制器中的实现方法。该控制器采用多条件模糊规则。提出了确定ofn活动水平的新方法以及基于ofn特殊性质的推理方法。这里将模糊控制应用于一个假设的移动设备过程(可以与汽车,机器人等有关)。建议的控制使用两个设备的读数:实际速度和到临界(边界)点的距离,这是无法实现的。控制变量是施加加速度。控制的目的是使设备与临界点保持安全距离。
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引用次数: 19
Evolving composite robot behaviour - a modular architecture 进化复合机器人行为——模块化架构
Tobias Larsen, S. Hansen
We have developed a composite control system for solving complex tasks with autonomous robots. The control system is evolved using artificial evolution and can be regarded as a modular decision tree where every node is a neural network. We show that the control system is robust to noise, is reactive, is extendable and can be set up to be configured automatically. Furthermore we show that robots in the real world work using this control system.
我们开发了一种复合控制系统,用于解决自主机器人的复杂任务。控制系统采用人工进化的方法进行进化,可以看作是一个模块化的决策树,每个节点都是一个神经网络。结果表明,该控制系统对噪声具有鲁棒性、无功性、可扩展性和可自动设置组态。此外,我们还展示了现实世界中的机器人使用该控制系统工作。
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引用次数: 20
期刊
Proceedings of the Fifth International Workshop on Robot Motion and Control, 2005. RoMoCo '05.
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