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Indoor Robot Localization in Hand-Drawn Maps by using Convolutional Neural Networks and Monte Carlo Method 基于卷积神经网络和蒙特卡罗方法的手绘地图室内机器人定位
F. Foroughi, Ji-kai Wang, Zonghai Chen
Localization for estimating the position of a robot in an environment remains a challenging problem in mobile robots. However, previous studies mostly consider accurate map with correct scale before the localization task. This paper presents a novel approach for solving localization problem using the inaccurate hand-drawn map of the environment, when the exact map of the environment is not prepared before the localization task. Our proposed method firstly decomposes the hand-drawn map into the local places such as a room or corridor, then extract a set of geometric information of each segmented area to train them using convolutional neural networks (CNN) for place recognition. This technique only selects nominated segmented areas of where the possible location of the robot is. Secondly, Monte Carlo Localization (MCL) technique is used to estimate the position of the robot. Empirical studies on the standard localization technique illustrate that the proposed approach achieves superior performance to state-of-the-art localization methods regarding noisy data issues and large localization error.
在移动机器人中,定位机器人在环境中的位置一直是一个具有挑战性的问题。然而,以往的研究大多是在定位任务之前考虑精确的地图和正确的比例尺。本文提出了一种在定位任务前未准备精确环境地图的情况下,利用不准确的手绘环境地图解决定位问题的新方法。我们提出的方法首先将手绘地图分解为局部区域,如房间或走廊,然后提取每个分割区域的一组几何信息,使用卷积神经网络(CNN)训练它们进行位置识别。该技术仅选择机器人可能位置所在的指定分割区域。其次,利用蒙特卡罗定位(MCL)技术估计机器人的位置;对标准定位技术的实证研究表明,该方法在噪声数据问题和大定位误差方面优于当前的定位方法。
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引用次数: 0
Fast Extrinsic Calibration for 3D LIDAR 3D激光雷达的快速外部校准
Ning Li, T. Luo, Bo Su
3D LIDAR based environmental perception has been widely used in the field of robotics research especially for the rapid development of the vehicle's auto pilot. Coordinate transformation calibration between LIDAR and the self-driving vehicle's body is a prerequisite for environmental perception. Different from the usual LIDAR extrinsic calibration equipped with IMU, the transform matrix is calculated by using the vertical relationship between the flat ground plane and another flat plane perpendicular to the ground without depending on third-party sensors such as IMU or satellite positioning devices in the proposed method. The calibration process is divided into two steps. The first step is to determine the transform matrix from the LIDAR's frame to the self-defined ground plane's frame. The second step is to determine the transform matrix from the ground plane's frame to the vehicle's frame. The proposed calibration method is fast and valid and has been validated on a variety of LIDAR equipment including Pandar40, VLP-16, HDL-32E and so on. The calibration result is used for 3D-LIDAR based environmental perception and map reconstruction in the process of auto pilot. The experimental results show that the proposed calibration method is reliable and convenient.
基于三维激光雷达的环境感知技术在机器人研究领域得到了广泛的应用,特别是随着汽车自动驾驶系统的快速发展。激光雷达与自动驾驶汽车车身之间的坐标变换校准是实现环境感知的前提条件。与通常配备IMU的LIDAR外部定标不同,该方法不依赖第三方传感器(如IMU或卫星定位设备),而是利用平面地面与另一个垂直于地面的平面之间的垂直关系计算变换矩阵。校准过程分为两个步骤。第一步是确定从激光雷达框架到自定义地平面框架的变换矩阵。第二步是确定从地平面坐标系到车辆坐标系的变换矩阵。所提出的校准方法快速有效,并已在Pandar40、VLP-16、HDL-32E等多种激光雷达设备上进行了验证。标定结果用于自动驾驶过程中基于3D-LIDAR的环境感知和地图重建。实验结果表明,所提出的标定方法可靠、方便。
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引用次数: 1
Human-Computer Interaction Control of Snake-Like Robot Based on Gesture Recognition 基于手势识别的蛇形机器人人机交互控制
Yidong Chen, Wu Wei, Wenyu Xiao
Human-computer interaction has been a hot topic in the development of robots. Gesture recognition is a significant part of it. Existing snake-like robot is controlled by the handle and joystick. It is worth studying that use gesture to control robots. Existing main vision-based gesture recognition methods are based on a two-stage method: hand detection and segmentation, feature extraction and template matching process. Inspired by the YOLO[1] algorithm, this paper proposed a one-stage gesture recognition and snake-like robot control method, based on deep learning, combined image segmentation and classification, realized end-to-end recognition and robot control. The snake-like robot can react to four types of human's gestures with a rapid processing time.
人机交互一直是机器人发展中的热点问题。手势识别是其中很重要的一部分。现有的蛇形机器人由手柄和操纵杆控制。利用手势控制机器人是一个值得研究的问题。现有的主要基于视觉的手势识别方法是基于两阶段的方法:手部检测和分割、特征提取和模板匹配过程。受YOLO[1]算法的启发,本文提出了一种基于深度学习,结合图像分割和分类的单阶段手势识别和蛇形机器人控制方法,实现了端到端识别和机器人控制。这种蛇形机器人可以对人类的四种手势做出反应,处理时间很快。
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引用次数: 1
Design and Analysis of Serial Mechanical Leg of Quadruped Lunar Robot 四足月球机器人串联机械腿的设计与分析
Yuming Wu, Shaokun Wang, Ke Wang
Intelligent robots have played an important role in missions such as reconnaissance and resource utilization in unmanned lunar exploration in recent years. A new quadruped lunar robot was designed to solve problems of weak adaptability and poor obstacle surmounting ability of wheeled mobile robot in complex terrain environment. The mechanical leg structure of quadruped robot with 3 active degrees of freedom was designed based on the analysis of the physiological structure of canine legs. The kinematic analysis of the mechanical leg was carried out and the mechanical structure design was completed. The serial mechanism is applied to the leg structure of quadruped robot, which can satisfy the load and make the control of the mechanical leg easier and more efficient. The results of motion simulation show that the quadruped robot can smoothly cross a 250 mm high obstacle and has the moving speed of 500 m/h. The advantages of quadruped robot in rugged roads, its flexibility and adaptability also provide a good foundation for its later use as a mobile platform equipped with scientific instruments.
近年来,智能机器人在无人探月任务的侦察和资源利用等方面发挥了重要作用。针对轮式移动机器人在复杂地形环境下适应性弱、越障能力差的问题,设计了一种新型四足月球机器人。在分析犬腿生理结构的基础上,设计了三主动自由度四足机器人的机械腿结构。对机械腿进行了运动学分析,完成了机械结构设计。将串联机构应用于四足机器人的腿部结构中,可以满足机械腿的负载,使机械腿的控制更加简单、高效。运动仿真结果表明,该四足机器人能够顺利越过250 mm高的障碍物,移动速度达到500 m/h。四足机器人在崎岖道路上的优势,其灵活性和适应性也为其日后作为配备科学仪器的移动平台提供了良好的基础。
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引用次数: 0
Dynamic Model with Analysis for Plate Contacting Problem in Automatic Paper-Sticking Machine 自动贴纸机印版接触问题的动力学模型及分析
Yanjie Miao, He Ye, Xing-bo Wang
This paper first sets up a dynamic model for the contacting process according to the design scheme of a paper-sticking machine, through the analysis of contact force, obtaining equations to describe the problem; then solves the equations and simulates numerically the contacting process with the help of Matlab, to get the ideal design parameters. The work of this paper is tested helpful in improving the design of the machine.
本文首先根据贴纸机的设计方案建立了接触过程的动力学模型,通过对接触力的分析,得到了描述问题的方程;然后对方程进行求解,并借助Matlab对接触过程进行数值模拟,得到理想的设计参数。实验证明,本文的工作对改进机床的设计有一定的帮助。
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引用次数: 0
Feature Extraction of Mixed faults of Rotating Machinery Based on ICA -R and Stochastic Resonance 基于ICA -R和随机共振的旋转机械混合故障特征提取
Gang Yu, Mang Gao, Lulu Zhao, Ying-ying Zhu
Aiming at the problem of extracting the fault features of the rotating machinery under the situation of the mixed faults and low signal-to-noise ratio (SNR), a method of fault feature extraction based onindependent component analysis with reference (ICA-R) and stochastic resonance (SR) algorithm is proposed. Firstly, the improved fault signal pre-processing is carried out by using the improved ICA-R, and the expected fault signal is extracted. Then, combining the time-domain analysis method with the artificial bee colony algorithm, the scale adaptive SR algorithm is employed to further extract fault features. The experimental results show that the proposed method is effective in diagnosing the mixed faults of rotating machinery.
针对混合故障和低信噪比情况下旋转机械故障特征提取问题,提出了一种基于参考独立分量分析(ICA-R)和随机共振(SR)算法的故障特征提取方法。首先,利用改进的ICA-R对故障信号进行预处理,提取期望故障信号;然后,将时域分析方法与人工蜂群算法相结合,采用尺度自适应SR算法进一步提取故障特征;实验结果表明,该方法对旋转机械的混合故障诊断是有效的。
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引用次数: 0
Adaptive control for a class of nonlinear system using general type-2 fuzzy neural networks approximator 一类非线性系统的广义2型模糊神经网络自适应控制
Yi Hu, Haipeng Wang, T. Zhao, S. Dian
In this paper, an indirect adaptive controller with general type-2 fuzzy neural networks (GT2FNN) approximator is proposed for a general class of SISO nonlinear systems. General type-2 fuzzy system (GT2FS) can be considered as a collection of numerous interval type-2 fuzzy systems (IT2FS) by α-plane. By using the recently introduced adaptive modulation factor into GT2FNN, the computational complexity and time-consuming are greatly reduced in the type reduction of IT2FS. The KM algorithm can be avoided in the type reduction of GT2FNN. Compared to the conventional GT2FNN, the proposed GT2FNN has obvious advantages in computational complexity and time consumption. The Lyaponov approach proves the stability of the closed-loop system. The simulation results show that the tracking performance of GT2FNN approximator is better than IT2FNN and T1FNN approximator.
针对一类一般的SISO非线性系统,提出了一种带广义2型模糊神经网络(GT2FNN)逼近器的间接自适应控制器。一般2型模糊系统(GT2FS)可以看作是α-平面上无数区间2型模糊系统(IT2FS)的集合。在GT2FNN中引入自适应调制因子,大大降低了IT2FS类型约简的计算复杂度和耗时。在GT2FNN的类型约简中可以避免KM算法。与传统的GT2FNN相比,本文提出的GT2FNN在计算复杂度和时间消耗方面具有明显的优势。Lyaponov方法证明了闭环系统的稳定性。仿真结果表明,GT2FNN逼近器的跟踪性能优于IT2FNN和T1FNN逼近器。
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引用次数: 2
Design and Application of a Dual Operation Mode Hybrid Mechanism 双工作模式混合机构的设计与应用
Xing-Lu Yin, Chunyan Zhang, Mingjuan Xie
Serial and parallel configurations are mutually exclusive in performance and structure,this hinders the combination of performance advantages. To solve this problem, a novel hybrid configuration which can realize serial and parallel switching based on a motion bifurcation mechanism is proposed. First, the structure of the new configuration is introduced. Second, the mobility of the reconfigurable arm were analyzed,the mobility characteristic analysis is carried out for the overall manipulator.Then, the specific process of arm mode switching is revealed in order to realize the mode switching control of the arm in the later stage. The mechanism can be applied to both machining and manufacturing robots with a variety of station properties, as well as to the limb structure of multi-habitat bionic robots. In this study, the performance advantages of series and parallel configurations are put into full play, it promotes the practical application of reconfigurable mechanism.
串行和并行配置在性能和结构上是相互排斥的,这阻碍了性能优势的结合。为了解决这一问题,提出了一种基于运动分岔机构实现串并切换的新型混合结构。首先,介绍了新配置的结构。其次,对可重构臂的机动性进行了分析,对整体机械手的机动性特性进行了分析。然后,揭示了手臂模式切换的具体过程,以实现后期手臂的模式切换控制。该机构既适用于多种工位性质的机械加工和制造机器人,也适用于多栖仿生机器人的肢体结构。本研究充分发挥了串联和并联配置的性能优势,促进了可重构机构的实际应用。
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引用次数: 0
Multi: sliding Mode Backstepping Method for Integrated Missile Guidance and Control System 导弹综合制导控制系统的多滑模反演方法
Ende Wang, Jinlei Jiao, Xukui Hou
The integrated missile guidance control system is a complex nonlinear system control problem, which needs to consider the effects of uncertainties, unmatching disturbance, and input constraints. Most of the current control methods have not been fully considered. In this paper, the controller is designed for the integrated model of missile guidance control, combined with backstepping control and sliding mode control. By using extended disturbance observer to accurately observe the complex disturbance term in the sliding mode system, the influence of the disturbance is solved and the inherent differential explosion in backstepping control is avoided. Considering the input limitation problem, the sliding mode surfaces are optimized to reduce the amplitude and chattering of the controller without changing the form of the control law. Finally, the stability of the system is analyzed and the effectiveness and superiority of my method are verified by comparison experiments.
导弹综合制导控制系统是一个复杂的非线性系统控制问题,需要考虑不确定性、不匹配干扰和输入约束的影响。目前的大多数控制方法都没有得到充分考虑。本文针对导弹制导控制集成模型设计了控制器,将反步控制和滑模控制相结合。利用扩展扰动观测器精确地观测滑模系统中的复杂扰动项,解决了扰动的影响,避免了反步控制中固有的差分爆炸。考虑输入限制问题,在不改变控制律形式的前提下,对滑模曲面进行了优化,降低了控制器的幅值和抖振。最后对系统的稳定性进行了分析,并通过对比实验验证了本文方法的有效性和优越性。
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引用次数: 1
Size Optimization Design for Cantilever Structure of an Ammunition Supply Truck Based on Optistruct 基于Optistruct的供弹车悬臂结构尺寸优化设计
Jian-Long Sheng, Yadong Xu, Jun Han, Z. Jia
Due to the narrow installation space of the ammunition supply truck, the cantilever structure is required to be light-weighted with the length of cantilever being limited. In this paper, the finite element model of the cantilever structure crane is established, through which the stress and displacement of cantilever structure in unloaded state and loaded state can be solved in order to analyze the possible failure location of cantilever structure Combined with the actual use of the cantilever structure crane, the scheme of size optimization based on Optistruct is proposed. The analyzed results of the optimized structural scheme indicate that the structure is 12.43% lighter than before meeting the stress requirements so that the cantilever structure crane is feasible.
由于供弹车安装空间狭窄,要求悬臂结构重量轻,悬臂长度受到限制。本文建立了悬臂结构起重机的有限元模型,通过求解悬臂结构在卸载状态和加载状态下的应力和位移,分析悬臂结构可能的失效位置,结合悬臂结构起重机的实际使用情况,提出了基于Optistruct的尺寸优化方案。优化后的结构方案分析结果表明,结构比满足应力要求前轻12.43%,悬臂结构起重机是可行的。
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引用次数: 1
期刊
Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering
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