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Robotics Transforming the Future最新文献

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Standing assistance that considers user posture tolerance 考虑用户姿势容忍度的站立辅助
Pub Date : 2018-09-10 DOI: 10.13180/clawar.2018.10-12.09.29
Masahiro Yokota, Shohei Kawazoe, D. Chugo, H. Hashimoto
This paper proposes a novel standing assistance robot, which considers the posture tolerance of its user. In previous studies, conventional assistive robots did not require patients to use their own physical strength to stand, which leads to decreased strength in the elderly. Therefore, an assistive robot that allows patients to maximally use the physical strength they possess is required. To realize this objective, it is important that a robot assists patients according to their body movement and by their intentions. However, in previous studies, general assistive robots helped patients by using a xed motion reference path- way in spite of their original intention, and as a result, these robots failed to use the physical strength of the patients. Therefore, we propose a novel standing assistance robot, which allows its user to move their body within a prescribed degree of posture tolerance during the process of moving from a sitting to a standing position. Our key ndings cover two fundamental research topics. One is the investigation into posture tolerance during a standing motion. The other topic is a novel assistance control algorithm that considers the investigated posture tolerance by combining position control and force control. A prototype assistive robot, based on the proposed idea was fabricated to help patients stand up safely using the maximum of their remaining physical strength.
提出了一种考虑使用者姿态容忍度的站立辅助机器人。在之前的研究中,传统的辅助机器人不需要患者使用自己的体力来站立,这导致老年人的力量下降。因此,需要一种能够让患者最大限度地使用他们所拥有的体力的辅助机器人。为了实现这一目标,机器人根据病人的身体运动和他们的意图来帮助病人是很重要的。然而,在以往的研究中,一般的辅助机器人在帮助患者的过程中,违背了初衷,使用了一种固定的运动参考路径,导致这些机器人未能充分利用患者的体力。因此,我们提出了一种新型的站立辅助机器人,它允许用户在从坐姿到站立的过程中在规定的姿势容忍度内移动身体。我们的主要研究成果涵盖两个基础研究课题。一个是对站立运动时姿势容忍度的调查。另一个课题是将位置控制与力控制相结合,考虑所研究的姿态公差的辅助控制算法。基于这个想法,一个原型辅助机器人被制造出来,帮助病人最大限度地利用他们剩余的体力安全地站起来。
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引用次数: 1
Educational bandwidth traffic prediction using non-linear autoregressive neural networks 基于非线性自回归神经网络的教育带宽流量预测
Pub Date : 2018-09-10 DOI: 10.13180/clawar.2018.10-12.09.37
O. Oumar, S. Dyllon, Perry Xiao, T. Hong
Time series network traffic analysis and forecasting are important for fundamental to many decision-making processes, also to understand network performance, reliability and security, as well as to identify potential problems. This paper provides the latest work at London South Bank University (LSBU) network data traffic analysis by adapting nonlinear autoregressive exogenous model (NARX) based on the Levenberg-Marquardt backpropagation algorithm. This technique can analyze and predict data usage in its current and future states, as well as visualise the hourly, daily, weekly, monthly, and quarterly activities with less computation requirement. Results and analysis proved the accuracy of the prediction techniques.
时间序列网络流量分析和预测对于许多决策过程至关重要,对于理解网络性能、可靠性和安全性以及识别潜在问题也很重要。本文介绍了伦敦南岸大学(LSBU)基于Levenberg-Marquardt反向传播算法的非线性自回归外生模型(NARX)网络数据流量分析的最新工作。该技术可以分析和预测当前和未来状态下的数据使用情况,并以较少的计算需求可视化每小时、每天、每周、每月和每季度的活动。结果和分析证明了预测技术的准确性。
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引用次数: 1
Coloured petri net model for remote monitoring of cardiovascular dysfunction 用于心血管功能障碍远程监测的彩色petri网模型
Pub Date : 2018-09-10 DOI: 10.13180/clawar.2018.10-12.09.48
Carlos A. Rovetto, E. Cano, K. Ojo, M. Tuñon, Héctor Montes Franceschi
Cardiovascular dysfunction is the main cause of death in the world and several of these incidents have not been detected in time for diverse reasons. Consequently, some research groups, in ICT area, have been developing remote monitoring systems to detect the biosignals of cardiovascular dysfunction patients in the recent years. In this paper, a Coloured Petri Net (CPN) model for the remote healthcare process is presented. This CPN model uses the patient data formalization by means of set theory, providing a simplified perspective of the data transmission among all elements of the system. Using the CPN model, it will be investigated the behavior the system formed by the patients and their biosignals, located in different city zones (e.g., Panama), by means of simulation processes, in a first stage. With obtained simulation results, a remote monitoring system of bio-signals using non-invasive sensors will be developed.
心血管功能障碍是世界上死亡的主要原因,其中一些事件由于各种原因未能及时发现。因此,近年来,ICT领域的一些研究小组一直在开发远程监测系统,以检测心血管功能障碍患者的生物信号。本文提出了一种用于远程医疗过程的彩色Petri网(CPN)模型。该CPN模型通过集合论的方法使用患者数据形式化,提供了系统中所有元素之间数据传输的简化视角。在第一阶段,利用CPN模型,通过模拟过程,研究位于不同城市区域(如巴拿马)的患者及其生物信号所形成的系统行为。在此基础上,开发了一种基于非侵入传感器的生物信号远程监测系统。
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引用次数: 5
Nao robot as a domestic robot 机器人作为家用机器人
Pub Date : 2018-09-10 DOI: 10.13180/clawar.2018.10-12.09.25
Jessica P. M. Vital, N. Ferreira, A. Valente
Over the years robotics has made great progress. Nowadays, robots begin to be part of the life of any person, designated social robotic. Humanoid robots are fascinating and have several advantages, such as they can work in places where there is a risk of contamination, risk of health, danger of life, places that are difficult to access. They also are able to access different types of terrain and to climb stairs. NAO robot is currently the humanoid platform with high sensory capacity that it has lower costs in the market. This robot is similar to human in order to have a more real and natural with society. Using the capabilities of the robot and adding other sensors, we can have a more powerful machine in our society. NAO robot is presented in this paper as a domestic robot.
多年来,机器人技术取得了很大的进步。如今,机器人开始成为任何人生活的一部分,被称为社交机器人。人形机器人是迷人的,有几个优点,比如他们可以在有污染风险的地方工作,有健康风险,有生命危险,难以进入的地方。他们还能够进入不同类型的地形和爬楼梯。NAO机器人是目前市场上成本较低的具有高感知能力的类人机器人平台。这个机器人与人类相似,是为了与社会有一个更真实、更自然的关系。利用机器人的能力并添加其他传感器,我们可以在我们的社会中拥有更强大的机器。NAO机器人是一种家用机器人。
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引用次数: 3
Real time camera homography error modelling for sensorial data fusion 面向传感数据融合的实时摄像机单应性误差建模
Pub Date : 2018-09-10 DOI: 10.13180/clawar.2018.10-12.09.23
R. Caballero, Aranzazu Berbey
The camera homography estimation involves using complex algorithms. They provide good results after some interactions, however the error model provided for such algorithm seems to be no appropriate for sensorial data fusion in real time. In this work a new methodology is proposed for camera homography and IMU data fusion. The experiment consists in rotate the camera. The experiment is done for frames. Here it is presented results about the error in homography estimation with and without bias compensation. The last section concerns about the experimental results and conclusions about this approach.
相机单应性估计涉及到复杂的算法。经过一定程度的相互作用后,得到了较好的结果,但该算法提供的误差模型似乎不适合实时的感官数据融合。本文提出了一种相机单应性和IMU数据融合的新方法。这个实验包括旋转照相机。该实验是针对帧进行的。本文给出了有偏差补偿和无偏差补偿的单应性估计误差的结果。最后一节是关于该方法的实验结果和结论。
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引用次数: 0
Local and global artificial potential functions in the control of mobile robots 局部和全局人工势函数在移动机器人控制中的应用
Pub Date : 2018-09-10 DOI: 10.13180/clawar.2018.10-12.09.p02
K. Kozlowski, W. Kowalczyk
The article presents overview of authors' results concerning mobile robot con- trol algorithms that use local arti cial potential functions (APF) to avoid colli- sions and global arti cial potential functions, named also navigation functions (NF) used to both collision avoidance and driving robot to a desired goal. All included algorithms assume that the mobile platform is di erentially driven mobile robot with nonholonomic constraints. E ectiveness of presented meth- ods is illustrated by simulation and experimental results. Experimental setup used to demonstrate control algorithms is presented.The article presents overview of authors' results concerning mobile robot con-trol algorithms that use local articial potential functions (APF) to avoid colli-sions and global articial potential functions, named also navigation functions(NF) used to both collision avoidance and driving robot to a desired goal. Allincluded algorithms assume that the mobile platform is dierentially drivenmobile robot with nonholonomic constraints. Eectiveness of presented meth-ods is illustrated by simulation and experimental results. Experimental setupused to demonstrate control algorithms is presented.
本文概述了作者关于使用局部人工势函数(APF)来避免碰撞的移动机器人控制算法和使用全局人工势函数(也称为导航函数(NF))来避免碰撞并将机器人驱动到期望目标的研究结果。所有算法都假设移动平台是差分驱动的非完整约束移动机器人。仿真和实验结果验证了所提方法的有效性。给出了用于验证控制算法的实验装置。本文概述了作者关于使用局部人工势函数(APF)避免碰撞和全局人工势函数(也称为导航函数(NF))用于避免碰撞和驱动机器人到达预期目标的移动机器人控制算法的研究结果。所有算法都假定移动平台是具有非完整约束的差分驱动移动机器人。仿真和实验结果验证了所提方法的有效性。给出了用于验证控制算法的实验装置。
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引用次数: 0
Development the electronic system of continues modular snake-like-robot 开发连续模块化蛇形机器人电子系统
Pub Date : 2018-09-01 DOI: 10.13180/clawar.2018.10-12.09.19
D. A. Gómez, Javier Camilo Torres Vera, H. Rodriguez
This project consists of the development of an electronic system to manipulate a snake like robot in a modular way. The electronic cards were implemented in a master-slave relationship for joint control of each mechanical module. These cards are composed of a DSPic30F4011, microchip 16-bit microcontroller that incorporates the CAN module, essential protocol for communication between cards, PWM outputs for motor control, analogue and digital ports; as well as a socket to connect to an external device through the UART. The firmware has been written in MikroC Pro. Each microcontroller implements the characteristic equation from the Hirose curves to generate a serpentine movement. These moves were simulated using ROS (Robotic Operating System in Rviz).
这个项目包括开发一个电子系统,以模块化的方式操纵一个像蛇一样的机器人。电子卡以主从关系实现,对各机械模块进行联合控制。这些卡由DSPic30F4011组成,微芯片16位微控制器,集成CAN模块,卡之间通信的基本协议,用于电机控制的PWM输出,模拟和数字端口;以及一个通过UART连接到外部设备的插座。固件是用MikroC Pro编写的。每个微控制器实现Hirose曲线的特征方程,以产生蛇形运动。这些动作是用ROS (Rviz中的机器人操作系统)模拟的。
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引用次数: 0
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Robotics Transforming the Future
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