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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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On the sensor-based navigation by changing a direction to follow an encountered obstacle 基于传感器的导航通过改变方向来跟随遇到的障碍物
H. Noborio, T. Yoshioka, Shoji Tominaga
In the last decade, many sensor-based navigation algorithms have been proposed. In the sensor-based navigation, a robot arrives at its goal globally while avoiding neighbor obstacles locally by sensor information. In every environment, a mobile robot arrives at its goal surely. However if an environment has complicated shape, a mobile robot sometimes joins a loop and consequently runs long until its goal. In general, a loop consists of routes which a robot follows obstacles in the same direction. Nevertheless in most previous algorithms, a mobile robot follows an encountered obstacle in a constant direction. On this observation, a robot is exempted from participation of a loop by reversing a direction to follow an obstacle. The authors discuss algorithms in which the following direction is alternatively changed. This strategy has been adopted by cockroaches living in a natural environment. They then propose algorithms in which the following direction is randomly reversed. Then they compare paths generated by constant, alternative, and random selections in Bug2 and Classl under a graphics simulator for 2D complicated environments.
在过去的十年中,提出了许多基于传感器的导航算法。在基于传感器的导航中,机器人利用传感器信息在全局范围内到达目标,同时在局部避开相邻障碍物。在任何环境下,移动机器人都一定能到达目标。然而,如果环境具有复杂的形状,移动机器人有时会加入一个循环,从而运行很长时间才能到达目标。一般来说,一个环路由机器人沿着相同方向的障碍物所组成。然而,在大多数先前的算法中,移动机器人沿着一个恒定的方向跟随遇到的障碍物。在这种观察下,机器人通过改变方向跟随障碍物而免于参与循环。作者讨论了以下方向交替改变的算法。这种策略被生活在自然环境中的蟑螂所采用。然后,他们提出了以下方向随机反转的算法。然后,他们在2D复杂环境的图形模拟器下比较Bug2和class1中由恒定、可选和随机选择生成的路径。
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引用次数: 14
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
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
Moving part recognition and automatic pick and place using an industrial robot 使用工业机器人进行运动部件识别和自动取放
E. I. Konukseven, B. Kaftanoglu
Robotics research continuously seeks to improve productivity in manufacturing automation. In the last several years, more and more efforts have been put in the integration of multiple sensors into robot systems. The goal is to make robots more adaptive and flexible in unstructured or frequently changing environments, and to enable robots to execute intelligent tasks. Thus the robot productivity as well as applicability can be improved. The object of this study is to develop a multisensor controlled robotic tracking and automatic pick and place system. The system is designed for recognizing and tracking an object which is selected from multiple objects that are unknown and randomly placed on a moving conveyor belt, using a vision, infrared and encoder sensors in the feedback loop. The robot tracks the parts and transfers them to the proper pallets.
机器人研究不断寻求提高制造业自动化的生产率。在过去的几年里,越来越多的人致力于将多个传感器集成到机器人系统中。目标是使机器人在非结构化或频繁变化的环境中更具适应性和灵活性,并使机器人能够执行智能任务。从而提高机器人的生产率和适用性。本研究的目标是开发一个多传感器控制的机器人跟踪和自动取放系统。该系统设计用于识别和跟踪从移动传送带上随机放置的多个未知物体中选择的物体,在反馈回路中使用视觉、红外和编码器传感器。机器人跟踪零件并将它们转移到合适的托盘上。
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引用次数: 4
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
Real-time gesture recognition using KL expansion of image sequence 利用KL扩展图像序列的实时手势识别
Takahiro Watanabe, M. Yachida
This paper presents a method of real time gesture recognition from image sequences. Real time gesture recognition is required for man machine interfaces and many multimedia applications. Our method recognizes a user's gesture in a low dimensional 'gesture space' which is constituted by Karhunen-Loeve (KL) expansion of model image sequences. We first segment a human part image in real time using the maskable template model which is an improved template matching method for gesture recognition. The segmented image sequence is represented as a gesture curve in the gesture space, and gesture is recognized by analyzing the curve. Using our method, we realize a real time interactive system, the Virtual Conductor System, which can control music played by a computer using gesture recognition results and indicates the usefulness of our method.
提出了一种基于图像序列的实时手势识别方法。人机界面和许多多媒体应用都需要实时手势识别。我们的方法在低维“手势空间”中识别用户的手势,该空间由模型图像序列的Karhunen-Loeve (KL)展开构成。首先,采用改进的模板匹配方法——掩模模板模型对人体部位图像进行实时分割。将分割后的图像序列表示为手势空间中的手势曲线,通过分析该曲线进行手势识别。利用我们的方法,我们实现了一个实时交互系统——虚拟指挥系统,该系统可以利用手势识别结果控制计算机播放的音乐,表明了我们的方法的实用性。
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引用次数: 3
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
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
Vision-based perception for an automated harvester 自动收割机的基于视觉的感知
Mark Ollis, A. Stentz
This paper describes a vision-based perception system which has been used to guide an automated harvester cutting fields of alfalfa hay. The system tracks the boundary between cut and uncut crop; indicates when the end of a crop row has been reached; and identifies obstacles in the harvester's path. The system adapts to local variations in lighting and crop conditions, and explicitly models and removes noise due to shadow. In field tests, the machine has successfully operated in four different locations, at sites in Pennsylvania, Kansas, and California. Using the vision system as the sole means of guidance, over 60 acres have been cut at speeds of up to 4.5 mph (typical human operating speeds range from 3-6 mph). Future work largely centers around combining vision and GPS based navigation techniques to produce a commercially viable product for use either as a navigation aid or for a completely autonomous system.
本文介绍了一种基于视觉的感知系统,用于引导自动收割机切割苜蓿干草。该系统跟踪已割和未割作物之间的边界;指示何时到达作物行的末端;并确定收割机前进道路上的障碍。该系统适应光照和作物条件的局部变化,并明确建模和消除阴影引起的噪声。在现场测试中,这台机器已经在四个不同的地点成功运行,分别是宾夕法尼亚州、堪萨斯州和加利福尼亚州。使用视觉系统作为唯一的引导手段,超过60英亩的土地以高达4.5英里/小时的速度被切割(典型的人类操作速度范围为3-6英里/小时)。未来的工作主要集中在结合视觉和基于GPS的导航技术,以生产一种商业上可行的产品,用于导航辅助或完全自主的系统。
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引用次数: 100
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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