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Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)最新文献

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Preliminary experiments in the adaptive identification of dynamically positioned underwater robotic vehicles 动态定位水下机器人自适应识别的初步实验
D. A. Smallwood, L. Whitcomb
This paper presents a stable online adaptive identification technique for the identification of finite-dimensional dynamical models of dynamically positioned underwater robotic vehicles. A direct comparison of this method to a conventional, off-line, least-squares method is presented. Based on experimental data obtained using the JHU remotely operated vehicle, both methods are employed to develop decoupled, single degree of freedom dynamical plant models. Performance of the resulting dynamical models is compared to the logged experimental motion of the actual vehicle.
提出了一种稳定的在线自适应识别技术,用于动态定位水下机器人有限维动力学模型的识别。将该方法与传统的离线最小二乘方法进行了直接比较。基于JHU遥控飞行器的实验数据,采用这两种方法建立了解耦的单自由度动态对象模型。所得到的动力学模型的性能与实际车辆的记录实验运动进行了比较。
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引用次数: 30
Underwater robots for cable following 水下电缆跟踪机器人
Arjuna Balasuriya, T. Ura
A sensor fusion technique is proposed for autonomous underwater vehicles (AUVs) to track underwater cables. The focus of this paper is to solve the two practical problems encountered in optical vision based systems in underwater environments: (1) navigation of AUV when cable is invisible in the image; and (2) selection of the correct cable when there are many similar features appearing in the image. The proposed sensor fusion scheme uses the dead reckoning position uncertainty with a 2D position model of the cable to predict the region of interest in the image. This reduces the processing data, increases the processing speed and avoids tracking other similar features appearing in the optical image. The proposed method uses a priori map of the cable for AUV navigation when the cable features are invisible in the predicted region in the image. An experiment was conducted to test the performance of the proposed algorithm using the AUV "Twin-Burger 2". The experimental results obtained show how the proposed method handles the above-mentioned practical problems.
提出了一种用于自主水下航行器水下电缆跟踪的传感器融合技术。本文的重点是解决基于光学视觉系统在水下环境中遇到的两个实际问题:(1)在图像中看不到电缆的情况下AUV的导航;(2)当图像中出现许多相似特征时,选择正确的电缆。提出的传感器融合方案利用航位推算位置的不确定性和电缆的二维位置模型来预测图像中的感兴趣区域。这减少了处理数据,提高了处理速度,避免了跟踪光学图像中出现的其他类似特征。该方法在图像预测区域内电缆特征不可见的情况下,利用电缆的先验映射进行水下航行器导航。利用“Twin-Burger 2”水下机器人进行了实验,验证了该算法的性能。实验结果表明,该方法能较好地解决上述实际问题。
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引用次数: 3
On catching an object by a robotic manipulator 用机械手抓住一个物体
A. J. Koivo, A. Koivo
The problem of a robotic manipulator catching a moving object (target) is viewed as pursuer-evader problem. It is formulated as an optimization problem to determine the max-min=min-max (a saddle point) solution. After the feedback linearization, the models in the world coordinate system for the manipulator and the object are assumed to be linear, and the performance criterion is quadratic. The continuous-time models are combined to a single vector differential equation constraint. The optimum control theory determines the optimal inputs to the manipulator and the object in the feedback form. The gains of the feedback control laws contain the solution to the Riccati equation. It is shown that the positive definiteness of this solution yields a requirement for the capture: The difference of the reduced controllability matrix of the manipulator and that of the object (target) must be positive definite.
机械臂捕捉运动物体(目标)的问题被看作是追赶-逃避问题。将其表述为确定max-min=min-max(鞍点)解的优化问题。在反馈线性化后,假定机械手和物体在世界坐标系中的模型是线性的,性能准则是二次的。将连续时间模型组合为单向量微分方程约束。最优控制理论以反馈形式确定了机械臂和目标的最优输入。反馈控制律的增益包含Riccati方程的解。结果表明,该解的正确定性对捕获产生了一个要求:机械臂的约简可控性矩阵与对象(目标)的可控性矩阵之差必须是正定的。
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引用次数: 2
Compliant motion control with stochastic active observers 随机主动观测器的柔性运动控制
R. Cortesão, R. Koeppe, U. Nunes, G. Hirzinger
The theory of active observers was initially described by Cortesao et al. (2000). This paper introduces properties of the Kalman gains used in the active observer (AOB) design. An important result of the state-space design is demonstrated, which allows stiffness adaptation without changing the control structure. Experiments with a human-robot skill transfer system to perform the peg-in-hole compliant motion task are described, showing the importance of the AOB.
主动观察者理论最初是由Cortesao等人(2000)提出的。介绍了主动观测器设计中卡尔曼增益的特性。在不改变控制结构的情况下实现刚度自适应,这是状态空间设计的一个重要成果。通过一个人机技能传递系统的实验,说明了AOB在孔钉柔顺运动任务中的重要性。
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引用次数: 13
Periodic stabilizing control of systems with collisions-application to walking robots 碰撞系统的周期稳定控制——在步行机器人中的应用
H. Ohta, M. Yamakita
The focus of this work is to generate and realize automatically an ideal periodic gait of walking robots which depends on properties of the system and an environment. In conventional works, a robot walking are realized by a tracking control for a predetermined desired trajectory. A necessary control for walking robots is not to track a desired trajectory but to generate a suitable trajectory according to changes of the environment. In order to realize this function, two methods will be discussed in this paper. The first one is the control method to realize a suitable steady periodic motion. The method will be called 'phase synchronous control,' which creates a stable limit cycle for the system which has an unstable one. The second one is the algorithm which is called 'desired state optimization' and modifies the motion to an optimal one, that a criterion function is optimized. Using this algorithm, if the environment of the system is changed, an ideal motion for the environment is automatically realized. The validity of the proposed method will be examined by numerical simulations.
研究的重点是根据系统和环境的特性自动生成和实现理想的周期步态。在传统的工作中,机器人的行走是通过对预定的期望轨迹进行跟踪控制来实现的。对于行走机器人来说,必要的控制不是跟踪期望的轨迹,而是根据环境的变化生成合适的轨迹。为了实现这一功能,本文将讨论两种方法。首先是实现合适的稳定周期运动的控制方法。这种方法将被称为“相位同步控制”,它为具有不稳定极限环的系统创建一个稳定的极限环。第二种算法被称为“期望状态优化”,它将运动修改为最优状态,即优化了一个准则函数。利用该算法,当系统所处环境发生变化时,可自动实现该环境的理想运动。本文将通过数值模拟验证该方法的有效性。
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引用次数: 1
A precision manipulator module for assembly in a minifactory environment 用于在小型工厂环境中组装的精密机械手模块
H. B. Brown, Patrick M. Muir, A. Rizzi, M. C. Sensi, R. Hollis
We describe the mechanical and electronic design of a precision, 2-DOF robot manipulator. The manipulator is one of a wide variety of modular robotic agents in the minifactory, a rapidly deployable precision assembly system under development in our laboratory. The manipulator, in cooperation with another type of 2-DOF robot, termed a courier, can perform 4-DOF assembly operations emulating a SCARA robot. This arrangement provides increased precision, higher throughput, smaller footprint, and increased flexibility relative to the SCARA robot.
介绍了一种精密二自由度机器人机械手的机械和电子设计。该机械手是小型工厂中众多模块化机器人代理中的一种,是我们实验室正在开发的一种快速部署的精密装配系统。该机械手与另一种称为快递员的二自由度机器人合作,可以模拟SCARA机器人进行四自由度装配操作。与SCARA机器人相比,这种安排提供了更高的精度、更高的吞吐量、更小的占地面积和更高的灵活性。
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引用次数: 15
Adaptive force control of position/velocity controlled robots: theory and experiment 位置/速度控制机器人的自适应力控制:理论与实验
J. Roy, L. Whitcomb
This paper addresses the problem of achieving exact dynamic force control with manipulators possessing the low level position and/or velocity controllers typically employed in industrial robot arms. Previously reported approaches and experimental results are reviewed. A new adaptive force control algorithm for velocity/position controlled robot arms in contact with surfaces of unknown linear compliance is reported. The controller provably guarantees global asymptotic convergence of force trajectory tracking errors to zero when the robot is under exact or asymptotically exact inner loop velocity control. An additional result which guarantees arbitrarily small force errors for bounded inner loop velocity tracking errors is presented. Comparative experiments show the new adaptive velocity (position) based controller and its non-adaptive counterpart to provide performance superior to that of previously reported position based force controllers.
本文解决了工业机械臂中常用的低水平位置和/或速度控制器的机械臂实现精确动态力控制的问题。本文综述了以往报道的方法和实验结果。针对接触未知线性柔度表面的速度/位置机器人手臂,提出了一种新的自适应力控制算法。证明了当机器人处于精确或渐近精确内环速度控制时,该控制器能保证力轨迹跟踪误差全局渐近收敛于零。对于有界内环速度跟踪误差,给出了保证力误差任意小的附加结果。对比实验表明,基于速度(位置)的自适应控制器与非自适应控制器的性能优于先前报道的基于位置的力控制器。
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引用次数: 181
A versatile C++ toolbox for model based, real time control systems of robotic manipulators 一个多功能的c++工具箱,用于基于模型的机器人操纵器实时控制系统
R. Höpler, M. Otter
Model based technologies form the core of advanced robotic applications such as model predictive control and feedback linearization. More sophisticated models result in higher quality but the use in embedded real-time control systems imposes strict requirements on timing, memory allocation, and robustness. To satisfy these constraints, the model implementation is often optimized by manual coding, an unwieldy and error prone process. The paper presents an approach that exploits code synthesis from high level intuitive and convenient multi-body system (MBS) model descriptions. It relies on an object-oriented C++ library of MBS components tailored to the computations required in robot control such as forward and inverse kinematics, inverse dynamics, and Jacobians. Efficient model evaluation algorithms are developed that apply to multi-body tree structures as well as kinematic loops that are solved analytically for a certain class of loop structures.
基于模型的技术构成了模型预测控制和反馈线性化等先进机器人应用的核心。更复杂的模型导致更高的质量,但在嵌入式实时控制系统中的使用对时序,内存分配和鲁棒性提出了严格的要求。为了满足这些约束,模型实现通常通过手工编码进行优化,这是一个笨拙且容易出错的过程。本文提出了一种利用高层、直观、方便的多体系统(MBS)模型描述进行代码合成的方法。它依赖于面向对象的c++ MBS组件库,该库专为机器人控制所需的计算(如正运动学和逆运动学、逆动力学和雅可比矩阵)而定制。开发了适用于多体树形结构的高效模型评估算法,以及对某一类环结构进行解析求解的运动环。
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引用次数: 15
Control strategy of flexible manipulators for contact motion to moving object 柔性机械臂与运动物体接触运动的控制策略
Y. Morita, Keiji Tsujimura, H. Ukai, H. Kando
This paper presents a control strategy of flexible manipulators for the contact motion to a moving object with a constant velocity. Our purpose is to design a controller in order to accomplish the smooth transition from a free space to a constrained space with changing control laws at a collision. The proposed controller consists of a hybrid position/force PI control, vibration suppression control, and mode selector. In order to improve the control performance degraded by the elasticity of flexible arms, the controller is designed on the basis of the concept of decomposition of elastic vibration. Some experimental results show the effectiveness of the proposed controller.
提出了一种柔性机械臂与匀速运动物体接触运动的控制策略。我们的目的是设计一个控制器,以实现从自由空间到约束空间的平滑过渡,并在碰撞时改变控制律。该控制器由位置/力PI混合控制、振动抑制控制和模式选择器组成。为了改善由于柔性臂的弹性而导致控制性能下降的问题,基于弹性振动分解的概念设计了该控制器。实验结果表明了该控制器的有效性。
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引用次数: 0
Semi-guided navigation of AGV through iterative learning 基于迭代学习的AGV半制导导航
T. Fujimoto, J. Ota, T. Arai, T. Ueyama, T. Nishiyama
In this paper, the authors aim at realizing an accurate navigation system of automated guided vehicles (AGV). The authors propose a way of estimating positioning error with magnetic tape, which is widely used in a factory as an external sensor. However, flexibility for path relocation is insufficient, because, in general, the tape should be laid down on the floor from a start point to a goal point so that AGV can reach their target. To overcome this inefficiency, the authors firstly propose a semi-guided navigation methodology by means of two kinds of magnetic tapes based on an error analysis. The semi-guided navigation means that magnetic tapes are only placed at the start and the goal points individually. Therefore, this system enables us to remove most of the magnetic tape. Moreover, the authors attempt a fixed model learning to prevent stationary error while AGV run iteratively. Finally, the authors carry out experiments to evaluate and verify the efficiency of the proposed method.
本文旨在实现自动导引车(AGV)的精确导航系统。提出了一种用磁带估计定位误差的方法,该方法作为外接传感器在工厂中得到了广泛应用。然而,路径重新定位的灵活性不足,因为一般情况下,需要从起点到目标点在地板上铺设胶带,使AGV能够到达目标。为了克服这种低效率,作者首先在误差分析的基础上提出了一种利用两种磁带进行半制导导航的方法。半制导导航意味着磁带只分别放置在起始点和目标点。因此,该系统使我们能够去除大部分磁带。此外,作者还尝试了一种固定模型学习,以防止AGV迭代运行时的平稳误差。最后,通过实验对所提方法的有效性进行了评价和验证。
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引用次数: 11
期刊
Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)
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