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Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97最新文献

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Optimal redundancy resolution for cooperative industrial robots 协作型工业机器人的最优冗余分辨率
B. Cao, G. Dodds, G. Irwin
Planning for effective manipulation of single, redundant or multiple robot systems requires the consideration of the DOF, dexterity, tasks and constraints. A new approach to redundancy resolution for multiple cooperative robots is proposed. A relative Jacobian, thus relative dexterity, is clearly defined and derived for multiple robots. Sequential quadratic programming (SQP) is used to optimize the relative dexterity of the robots whilst satisfying task requirements and limits on joint angles. With this approach it is not necessary to balance the weightings between the performance index and those constraint terms in the cost function. Further the resulting joint configurations are globally optimal with respect to the specified cost. An illustrative example is included to demonstrate the usefulness of this approach. From this example, the relative dexterity of the arms has been found to be more useful than individual arm dexterities in planning the cooperative task.
规划单个、冗余或多个机器人系统的有效操作需要考虑自由度、灵巧性、任务和约束。提出了一种新的多协作机器人冗余度求解方法。明确定义并推导了多个机器人的相对雅可比矩阵,即相对灵巧度。在满足任务要求和关节角度限制的前提下,采用序列二次规划方法优化机器人的相对灵巧度。使用这种方法,不需要平衡性能指标和成本函数中约束项之间的权重。此外,所得到的关节构型在给定成本下是全局最优的。其中包括一个说明性示例来演示这种方法的有用性。从这个例子中,我们发现在规划合作任务时,手臂的相对灵巧度比单个手臂的灵巧度更有用。
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引用次数: 0
Nonlinear gain scheduling control of legged robot EMU-experimental result 腿式机器人动车组非线性增益调度控制实验结果
K. Osuka, T. Kinugasa, T. Ono
This paper shows the realization of sitting-down and standing-up motion of a legged robot. We present a new design method of nonlinear gain-scheduling-type control scheme for the sitting-down and standing-up motion of our legged robot called Emu. Then, through some experiments, we show the effectiveness of our control scheme.
本文介绍了一种有腿机器人坐下和站起来运动的实现方法。提出了一种新的基于非线性增益调度的Emu坐下和站起来运动控制方案设计方法。然后,通过实验验证了该控制方案的有效性。
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引用次数: 0
Obstacle detection and self-localization without camera calibration using projective invariants 基于投影不变量的无需摄像机标定的障碍物检测与自定位
K. Roh, Wang-Heon Lee, In-So Kweon
In this paper, we propose two new vision-based methods for indoor mobile robot navigation. One is a self-localization algorithm using projective invariant and the other is a method for obstacle detection by simple image difference and relative positioning. For a geometric model of corridor environment, we use natural features formed by floor, walls, and door frames. Using the cross-ratios of the features can be effective and robust in building and updating model-base, and image matching. We predefine a risk zone without obstacles for a robot, and store the image of the risk zone, which will be used to detect obstacles inside the zone by comparing the stored image with the current image of a new risk zone. The position of the robot and obstacles are determined by relative positioning. The robustness and feasibility of our algorithms have been demonstrated through experiments in corridor environments using the KASIRI-II indoor mobile robot.
本文提出了两种新的基于视觉的室内移动机器人导航方法。一种是基于投影不变量的自定位算法,另一种是基于简单图像差分和相对定位的障碍物检测方法。对于走廊环境的几何模型,我们使用了由地板、墙壁和门框形成的自然特征。利用特征的交叉比对可以有效地建立和更新模型库,以及进行图像匹配。我们为机器人预先定义一个没有障碍物的危险区域,并存储该危险区域的图像,将存储的图像与新危险区域的当前图像进行比较,用于检测该区域内的障碍物。机器人和障碍物的位置通过相对定位来确定。通过室内移动机器人KASIRI-II在走廊环境中的实验,验证了算法的鲁棒性和可行性。
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引用次数: 17
Force control of robot floating on the water utilizing vehicle restoring force 利用车辆恢复力对机器人浮于水面的力控制
H. Kajita, K. Kosuge
This paper presents a force control strategy for a robot floating on the water. The central strategy reduces the number of vehicle actuators required for the force control by utilizing the restoring force/moment applied to the vehicle. In this research, the relationship between thruster outputs and the contact force/moment at the endpoint is derived taking the restoring force into account, and the range of the realizable contact force is calculated using this relationship. Moreover, a simulator of the vehicle motion is developed and the results of experiment by means of this simulator illustrate the validity of the proposed algorithm.
提出了一种水上漂浮机器人的力控制策略。中心策略通过利用应用于车辆的恢复力/力矩,减少了力控制所需的车辆执行器的数量。在考虑恢复力的情况下,推导了推力器输出与端点处接触力/力矩的关系,并利用该关系计算了可实现接触力的范围。在此基础上,开发了车辆运动模拟器,实验结果验证了该算法的有效性。
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引用次数: 20
Measuring range and bearing with a binaural ultrasonic sensor 测量范围和轴承双耳超声波传感器
Ben Stanley, P. McKerrow
Discusses the development of a binaural ultrasonic sensor for mobile robot navigation, which is capable of measuring the range and bearing angle to multiple targets. A novel aspect of the design of the sensor is that it calculates the bearing angle twice, using inter-aural time difference (ITD) and inter-aural amplitude difference (IAD). These calculations of bearing are independent of atmospheric fluctuations and the geometry of the reflecting object. These independent bearing calculations are used to solve the correspondence problem. Echo pairs whose bearings differ by more than an acceptable amount are discarded.
讨论了一种用于移动机器人导航的双耳超声传感器的研制,该传感器能够测量对多个目标的距离和方位角。该传感器设计的一个新颖之处在于,它使用耳间时差(ITD)和耳间振幅差(IAD)计算两次轴承角。这些方位的计算与大气波动和反射物体的几何形状无关。这些独立的轴承计算用于解决对应问题。如果回声对的方位相差超过了可接受的范围,就会被丢弃。
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引用次数: 14
A modular reinforcement-based neural controller for a three-link manipulator 基于模块化增强的三连杆机械臂神经控制器
P. Martín, J. Millán
This paper presents a modular neural controller that learns goal-oriented obstacle-avoiding motion strategies for a sensor-based three-link planar robot arm. It acquires these strategies through reinforcement learning from local sensory data. The controller has two reinforcement-based modules: a module for negotiating obstacles and a module for moving to the goal. Both modules generate actions that are interpreted with regard to a goal vector in the robot joint space. A differential inverse kinematics (DIV) module is used to obtain such a goal vector. The DIV module is based on the inversion of a neural network that has been previously trained to approximate the manipulator forward kinematics in polar coordinates. The controller achieves a satisfactory performance quite rapidly and shows good generalization capabilities in the face of new environments.
针对基于传感器的平面三连杆机械臂,提出了一种模块化神经控制器,用于学习面向目标的避障运动策略。它通过对局部感官数据的强化学习来获取这些策略。控制器有两个基于强化的模块:一个模块用于越过障碍,一个模块用于移动到目标。这两个模块生成的动作都是根据机器人关节空间中的目标向量来解释的。微分逆运动学(DIV)模块用于获得这样的目标向量。DIV模块是基于神经网络的反演,该神经网络先前已被训练以在极坐标中近似机械臂的正运动学。该控制器在较短的时间内取得了令人满意的性能,并在新环境下表现出良好的泛化能力。
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引用次数: 3
Cooperative control of a two-manipulator system handling a general flexible object 处理一般柔性物体的双机械手系统的协同控制
Dong Sun, Yunhui Liu, J. Mills
Robotic manipulation of a general flexible object is an extremely difficult and challenging control problem. This paper shows that under a simple PD position feedback, the position/orientation of a general flexible object handled by two manipulators is able to approach the desired one and at the same time the vibration of each contact is suppressed. We use the "clamped-free" model to decompose the motion of the object into two components, a rigid and a flexible one, which allows us to treat them separately and achieve desired motions with a simple PD scheme. This is proved to work theoretically.
机器人对一般柔性物体的操纵是一个极其困难和具有挑战性的控制问题。本文表明,在简单的PD位置反馈下,两个机械手处理的一般柔性物体的位置/姿态能够接近期望的位置/姿态,同时每个接触的振动被抑制。我们使用“无箝位”模型将物体的运动分解为两个组件,一个是刚性的,一个是柔性的,这允许我们单独处理它们,并通过简单的PD方案实现所需的运动。这在理论上是可行的。
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引用次数: 33
Contact interaction robot-communication between robot and human through contact behavior 接触互动机器人-机器人与人之间通过接触行为进行的交流
Tomomasa Sato, T. Harada, Taketoshi Mori
This paper proposes a contact interaction robot (CIR) which utilizes contact behavior as the interaction means between a human and a robot. The CIR is a puppet robot designed so that the robot and the human touch each other. The psychological experiments are performed by utilizing a CIR equipped with pressure sensors on both sides of its neck and six servo motors in its neck, two arms and, two legs. The experimental results reveal that the CIR is able to moderate the painfulness perceived by the human as well as to bring a sense of relief.
本文提出了一种接触交互机器人(CIR),它利用接触行为作为人与机器人之间的交互手段。CIR是一个木偶机器人,设计目的是让机器人和人相互接触。心理实验是利用一个在脖子两侧装有压力传感器的CIR,在脖子、两条胳膊和两条腿上装有6个伺服电机。实验结果表明,CIR能够减轻人类感知到的痛苦,并带来一种解脱感。
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引用次数: 5
Positioning of a mobile robot with landmark-based method 基于地标的移动机器人定位方法
M. Oussalah, H. Maaref, C. Barret
In order to develop an autonomous system, the problem of determining accurately the position of the robot has to be solved. In this paper we deal with landmark-based method where the location of the landmark is known with regard to the environment. These landmarks are composed of a set of infrared LEDs that help the mobile robot to accurately increase the accuracy of the estimation of its local position as given by the odometer sensor. Odometry reading and exteroceptive sensors are modelled in the setting of the possibility theory. The possibility distributions relative to different sensors are turned into the same referential, and then combined by means of an adaptive combination rule.
为了开发一个自主系统,必须解决准确确定机器人位置的问题。在本文中,我们处理基于地标的方法,其中地标的位置是已知的关于环境。这些地标由一组红外led组成,可以帮助移动机器人准确地提高里程表传感器给出的对其局部位置的估计精度。在可能性理论的背景下,对测程读数和外感传感器进行了建模。将相对于不同传感器的可能性分布转化为相同的参考,然后通过自适应组合规则进行组合。
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引用次数: 10
The DIST-HAND robot DIST-HAND机器人
A. Caffaz, S. Bernieri, G. Cannata, G. Casalino
This paper presents the prototype of the DIST robotic hand developed at the Graal-Lab of the University of Genova. In the current version, the hand is formed by a palm supporting four fingers. Each finger has four rotational degrees of freedom, and is equipped with custom built position sensors using Hall-effect transducers. The actuation of each finger is done using six tendons driven by five computer controlled DC motors. A kinematic analysis has been performed using simulation tools, with the goal of building a mechanism with size and mobility similar to those of human hand.
本文介绍了热那亚大学格拉尔实验室开发的DIST机械手的原型。在目前的版本中,手是由支撑四个手指的手掌组成的。每个手指都有四个旋转自由度,并配备了使用霍尔效应传感器的定制位置传感器。每个手指的驱动是由五个计算机控制的直流电机驱动的六个肌腱完成的。利用仿真工具进行了运动学分析,目标是建立一个具有类似于人手的大小和机动性的机构。
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引用次数: 5
期刊
Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97
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