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Bell shaped impedance control to minimize jerk while capturing delicate moving objects 钟形阻抗控制,最大限度地减少震动,同时捕捉微妙的移动物体
Pub Date : 2016-11-22 DOI: 10.5220/0001627105040509
A. Nagendran, R. Richardson, W. Crowther
Catching requires the ability to predict the position and intercept a moving object at relatively high speeds. Because catching is a contact task, it requires an understanding of the interaction between the forces applied and position of the object being captured. The application of force to a mass results in a change in acceleration. The rate of change of acceleration is called jerk. Jerk causes wear on the manipulator over time and can also damage the object being captured. This paper uses a curve that asymptotes to zero gradient at +/infinity to develop an impedance controller, to decelerate an object to a halt after it has been coupled with the end effector. It is found that this impedance control method minimizes the jerk that occurs during capture, and eliminates the jerk spikes that are existent when using spring dampers, springs or constant force to decelerate an object.
接球需要预测位置并以相对较高的速度拦截移动物体的能力。因为捕捉是一项接触任务,它需要理解所施加的力和被捕获物体的位置之间的相互作用。对物体施加力会引起加速度的变化。加速度的变化率叫做加速度。随着时间的推移,抖动会对机械手造成磨损,也会损坏被捕获的物体。本文使用在+/∞处渐近线到零梯度的曲线来开发阻抗控制器,在与末端执行器耦合后将物体减速到停止。研究发现,这种阻抗控制方法最大限度地减少了捕获过程中产生的激振,并消除了使用弹簧减震器、弹簧或恒力对物体减速时存在的激振峰值。
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引用次数: 4
Property service architecture for distributed robotic and sensor systems 分布式机器人和传感器系统的属性服务架构
Pub Date : 2016-11-22 DOI: 10.5220/0001650002260233
Antti Tikanmäki, J. Röning
This paper presents a general architecture for creating complex distributed software systems, the Property Service architecture. The system may contain resources like robots, sensors, and different kinds of system services, such as controller units, data storages or collective model of the environment. This architecture contains several solutions and distributed system design methods to develop advanced and complex systems. It provides also a possibility to add new resources to the system easily and during the operation. Each service has very simple generalized interface. This meets the requirements of distributed robotic applications, such as remote operation, multi-robot cooperation and the robot’s internal operation. The simplicity of the interface also provides a possibility to scale down the service even on the low-cost microcontrollers used in small-sized robots. The main features of the architecture are dynamic properties of the resources, automatic reconfiguration and the high level of reusability of the implemented methods and algorithms. Index Terms – distributed robots and systems, multi-robot systems, sensor networks, Property Service architecture
本文提出了一种用于创建复杂分布式软件系统的通用体系结构,即属性服务体系结构。系统可能包含诸如机器人、传感器和不同类型的系统服务之类的资源,例如控制器单元、数据存储或环境的集合模型。该体系结构包含多种解决方案和分布式系统设计方法,可用于开发高级复杂系统。它还提供了在操作过程中方便地向系统添加新资源的可能性。每个服务都有非常简单的通用接口。这满足了远程操作、多机器人协作和机器人内部操作等分布式机器人应用的要求。接口的简单性也提供了缩小服务规模的可能性,甚至在小型机器人中使用的低成本微控制器上也是如此。该体系结构的主要特点是资源的动态特性、自动重构以及实现的方法和算法的高水平可重用性。索引术语-分布式机器人和系统,多机器人系统,传感器网络,物业服务架构
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引用次数: 7
Temporal Smoothing Particle Filter for Vision based Autonomous Mobile Robot Localization 基于时间平滑粒子滤波的自主移动机器人视觉定位
Pub Date : 2016-11-22 DOI: 10.5220/0001497400930100
Walter Nisticò, Matthias Hebbel
Particle filters based on the Sampling Importance Resampling (SIR) algorithm have been extensively and successfully used in the field of mobile robot localization, especially in the recent extensions (Mixture Monte Carlo) which sample a percentage of particles directly from the sensor model. However, in the context of vision based localization for mobile robots, the Markov assumption on which these methods rely is frequently violated, due to “ghost percepts” and undetected collisions, and this can be troublesome especially when working with small particle sets, due to limited computational resources and real-time constraints. In this paper we present an extension of Monte Carlo localization which relaxes the Markov assumption by tracking and smoothing the changes of the particles’ importance weights over time, and limits the speed at which the samples are redistributed after a single resampling step. We present the results of experiments conducted on vision based localization in an indoor environment for a legged-robot, in comparison with state of the art
基于采样重要性重采样(SIR)算法的粒子滤波在移动机器人定位领域得到了广泛而成功的应用,特别是在最近的扩展(混合蒙特卡罗)中,它直接从传感器模型中采样一定百分比的粒子。然而,在移动机器人基于视觉定位的背景下,由于“幽灵感知”和未检测到的碰撞,这些方法所依赖的马尔可夫假设经常被违反,这可能会很麻烦,特别是在处理小粒子集时,由于有限的计算资源和实时约束。在本文中,我们提出了蒙特卡罗定位的扩展,它通过跟踪和平滑粒子的重要权值随时间的变化来放宽马尔可夫假设,并限制了单个重采样步骤后样本重新分布的速度。我们介绍了在室内环境中对有腿机器人进行基于视觉定位的实验结果,并与目前的技术状况进行了比较
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引用次数: 6
Entanglement detection of a swarm of tethered robots in search and rescue applications 搜索与救援中系留机器人群的缠结检测
Pub Date : 2016-11-18 DOI: 10.5220/0001626001430148
Thumatty R. Vishnu Arun Kumar, R. Richardson
In urban search and rescue (USAR) applications, robots play a pivotal role. As USAR is time sensitive, swarm of robots is preferred over single robot for victim search. Tethered robots are widely used in USAR applications because tether provides robust data communication and power supply. The problem with using tethers in a collapsed, unstructured environment is tether entanglement. Entanglement detection becomes vital in this scenario. This paper presents a novel, low-cost approach to detect entanglement in the tether connecting two mobile robots. The proposed approach requires neither localization nor an environment map. Experimental results show that the proposed approach is effective in identifying tether entanglement.
在城市搜索和救援(USAR)应用中,机器人发挥着关键作用。由于USAR具有时间敏感性,因此首选机器人群而不是单个机器人进行受害者搜索。系绳机器人广泛应用于USAR应用,因为系绳提供了强大的数据通信和电源。在坍塌的非结构化环境中使用系绳的问题是系绳缠绕。在这种情况下,纠缠检测变得至关重要。本文提出了一种新颖、低成本的方法来检测连接两个移动机器人的系绳的缠结。所提出的方法既不需要定位,也不需要环境地图。实验结果表明,该方法可以有效地识别系绳纠缠。
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引用次数: 5
Obstacle Avoidance for Autonomous Mobile Robots based on Position Prediction using Fuzzy Inference 基于模糊推理位置预测的自主移动机器人避障
Pub Date : 2011-09-09 DOI: 10.5772/24494
Takafumi Suzuki, Masaki Takahashi
In the future, it’s not difficult to image that we will often come across many autonomous mobile robots traversing densely populated place we live in. In such situation, because the autonomous mobile robots need to carry out their tasks in a place with unknown obstacles, the obstacle avoidance is one of the important functions of the robots. With a view to implementation of autonomous mobile robot working in doors, we employ an omnidirectional platform as shown in Fig. 1 (left). For experimental verification, an omnidirectional mobile robot shown in Fig. 1 (right) is developed. The robot has an omnidirectional camera for environmental recognition, and can move to all directions by four omni wheels. While there are many studies about obstacle avoidance method focusing attention on possibility of avoidance, this paper presents the method focusing on not only possibility but also safer trajectory of avoidance. Even if there are the same situations that the robot needs to avoid a static obstacle, timing of beginning avoidance behaviour should vary according to the robot speed. If the obstacles are moving also, the timing should vary according to the velocities of the obstacles. To cite a case, in a situation that a robot and an obstacle go by each other as shown in Fig. 2, the robot should avoid along the curved line like (iii) according to the speeds of the obstacle and own speed. In order to get to the goal with efficient and safe avoidance behaviour in the unknown environment for the robots, predicting the future obstacles’ positions by their current motions is needed. This paper introduces a real-time obstacle avoidance method introducing the velocity of obstacle relative to the robot. By means of considering predicted positions of the robot and the obstacle calculated from the time and the relative velocity, the robot can begin the avoidance behaviour at an appropriate time according to the velocity of the obstacle and the robot. Some researches focus attention on the velocity of obstacle (Ko & Lee, 1996) to avoid moving obstacles efficiently. In this research, virtual distance function is defined based on distance from the obstacle and speed of obstacle, however, only projection of the obstacle velocity on the unit vector from the obstacle to the robot is considered. In other words, the velocity of the robot is not considered.
在未来,不难想象,我们将经常遇到许多自主移动机器人穿越我们居住的人口稠密的地方。在这种情况下,由于自主移动机器人需要在障碍物未知的地方执行任务,避障是机器人的重要功能之一。为了实现在室内工作的自主移动机器人,我们采用了如图1(左)所示的全向平台。为了实验验证,研制了如图1(右)所示的全向移动机器人。该机器人有一个全向摄像头用于环境识别,并可以通过四个全向轮向各个方向移动。目前已有很多关于避障方法的研究主要关注避障的可能性,而本文提出的避障方法不仅关注避障的可能性,而且关注避障的安全轨迹。即使在机器人需要避开静态障碍物的相同情况下,开始回避行为的时间也应该根据机器人的速度而变化。如果障碍物也在移动,则时间应根据障碍物的速度而变化。举个例子,在如图2所示的机器人与障碍物擦肩而过的情况下,机器人应根据障碍物的速度和自身的速度沿(iii)曲线进行回避。为了使机器人在未知环境中具有高效、安全的避障行为,需要通过机器人当前的运动来预测未来障碍物的位置。本文介绍了一种引入障碍物相对于机器人的速度的实时避障方法。通过考虑由时间和相对速度计算出的机器人和障碍物的预测位置,机器人可以根据障碍物和机器人的速度在适当的时间开始回避行为。一些研究将重点放在障碍物的速度上(Ko & Lee, 1996),以有效地避开移动的障碍物。在本研究中,虚拟距离函数是基于障碍物的距离和障碍物的速度来定义的,但只考虑障碍物到机器人的速度在单位矢量上的投影。换句话说,不考虑机器人的速度。
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引用次数: 10
Multi Scale Moving Control Method for Autonomous Omni-directional Mobile Robot 自主全方位移动机器人的多尺度运动控制方法
Pub Date : 2009-12-01 DOI: 10.5220/0002217004490452
Masaki Takahashi, Takafumi Suzuki
Abstract: This paper proposes a hierarchical moving control method for autonomous omni-directional mobile robot to achieve both safe and effective movement in a dynamic environment with moving objects such as humans. In the method, the movement of the robot can be realized based on prediction of the movement of obstacles by taking account of time scale differences. In this paper, the design method of the proposed method based on the virtual potential approach is proposed. In the method, modules that generate the potential field are structured hierarchically based on the prediction time to each problem. To verify the effectiveness of the proposed method, the numerical simulations and the experiments using a real robot are carried out. From the results, it is confirmed that the robot with the proposed method can realize safe and efficient movement in dynamic environment.
摘要提出了一种自主全方位移动机器人的分层运动控制方法,以实现机器人在人类等动态环境中安全有效的运动。该方法通过对障碍物运动的预测,考虑到时间尺度的差异,实现机器人的运动。本文提出了基于虚势法的该方法的设计方法。该方法根据每个问题的预测时间对产生势场的模块进行分层结构。为了验证所提方法的有效性,进行了数值模拟和真实机器人实验。实验结果表明,采用该方法的机器人能够在动态环境中实现安全、高效的运动。
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引用次数: 7
An Approach to Obtain a PLC Program from a DEVS Model 从DEVS模型获取PLC程序的一种方法
Pub Date : 2009-12-01 DOI: 10.5772/7897
Hyeongtae Park, Kilyoung Seong, Suraj Dangol, Gi-Nam Wang, S. C. Park
Proposed in the paper is an approach to generate the PLC code from the Discrete Event System Specification (DEVS) model. DEVS have been widely accepted to model the real system for the discrete event system simulation. The objective of this paper is to generate PLC control code from the DEVS model. To achieve it, this paper proposes two steps. First step is to convert the real system into the virtual model using the ‘three-phase-modeling procedure’. In the second step, the obtained model is formalized with DEVS formalism. The final model consists of different components, among them the State manager and the Flow controller model plays vital role to generate PLC code. In this paper, proposed steps are described with a work cell example.
本文提出了一种从离散事件系统规范(DEVS)模型生成PLC代码的方法。在离散事件系统仿真中,DEVS已被广泛应用于真实系统的建模。本文的目的是从DEVS模型生成PLC控制代码。为了实现这一目标,本文提出了两个步骤。第一步是使用“三相建模程序”将真实系统转换为虚拟模型。第二步,将得到的模型用DEVS形式化。最终的模型由不同的组件组成,其中状态管理器和流控制器模型对PLC代码的生成起着至关重要的作用。本文以一个工作单元为例介绍了所提出的步骤。
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引用次数: 0
Dynamic-based Simulation for Humanoid Robot Walking using Walking Support System 基于行走支撑系统的仿人机器人行走动力学仿真
Pub Date : 2009-12-01 DOI: 10.1007/978-3-642-00271-7_6
A. Omer, Y. Ogura, H. Kondo, Hun-ok Lim, A. Takanishi
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引用次数: 1
Co-design for Wireless Networked Control of an Intelligent Mobile Robot 智能移动机器人无线网络控制协同设计
Pub Date : 2009-07-02 DOI: 10.5220/0002219303180324
A. Mechraoui, Z. Khan, J. Thiriet, S. Gentil
This paper describes a wireless network based control of a Khepera mobile robot moving in a distributed infrastructure. Due to critical dependence on wireless communication, a procedure for reconfiguration of the network is proposed as a possibility to maintain communication between control station and the mobile robot in a successful manner. The network handoff is made under a criterion that takes into account key application dependent performance parameters. The controlled system and the communication network are simulated respectively with Matlab/Simulink and TrueTime.
本文描述了一种基于无线网络的Khepera移动机器人在分布式基础设施中的移动控制。由于移动机器人对无线通信的依赖性很大,因此提出了一种重构网络的方法,以保证控制站与移动机器人之间的通信能够顺利进行。网络切换是在考虑关键应用程序相关性能参数的标准下进行的。利用Matlab/Simulink和TrueTime分别对被控系统和通信网络进行了仿真。
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引用次数: 29
Cooperative Teleoperation Task in Virtual Environment - Influence of Visual Aids and Oral Communication 虚拟环境下的协同遥操作任务——视觉辅助和口头交流的影响
Pub Date : 2009-07-02 DOI: 10.5220/0002166703740377
S. Ullah, S. Otmane, M. Mallem, P. Richard
Cooperative virtual environments, where users simultaneously manipulate objects, is one of the subfields of Collaborative virtual environments (CVEs). In this paper we simulate the use of two string based parallel robots in cooperative teleoperation task, Two users setting on separate machines connected through local network operate each robot. In addition, the article presents the use of sensory feedback (i.e shadow, arrows and oral communication) and investigates their effects on cooperation, presence and users performance. Ten volunteers subject had to cooperatively perform a peg-in-hole task. Results revealed that shadow has a significant effect on task execution while arrows and oral communication not only increase users performance but also enhance the sense of presence and awareness. Our investigations will help in the development of teleoperation systems for cooperative assembly, surgical training and rehabilitation systems.
协同虚拟环境是协同虚拟环境(cve)的一个子领域,是用户同时操作对象的虚拟环境。本文模拟了两个基于字符串的并联机器人在协同遥操作任务中的使用,两个用户设置在通过局域网连接的独立机器上操作每个机器人。此外,本文还介绍了感官反馈(即阴影、箭头和口头交流)的使用,并调查了它们对合作、存在和用户表现的影响。10名志愿者被要求合作完成一个钉孔任务。结果表明,阴影对任务执行有显著影响,而箭头和口头交流不仅能提高用户的表现,还能增强用户的存在感和意识。我们的研究将有助于远程操作系统的发展合作装配,手术训练和康复系统。
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引用次数: 2
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