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展kalman滤波器的matlab源码,实现机器人的自定位功能,欢迎测试-Extended kalman filter matlab source, the realization of robot self-localization function, welcomed the test
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基于互相关函数,采用求和广义互相关函数(summed-GCC)法用于机器人系统平台。由于采用不同的映射函数(mapping functions),GCC法在该平台下,只需三个麦克风即可进行三维定位,突破了基于TDOA法进行三维声源定位最少需4个麦克风的限制-Based on cross-correlation function, using generalized cross-correlation function sum (summed-GCC) method for the robot s
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动态环境下的移动机器人同时定位与地图构建的博士论文-Dynamic environment of mobile robot simultaneous localization and mapping of the doctoral thesis
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小波变换是在傅立叶变换的基础上发展起来的,它优于傅立叶分析的地方是它在空域和时域都是局部化的,其局部化格式随频率自动变换,在高频处取窄的时(空)间窗,在低频处取宽的时(空)窗,适合处理非平稳信号,在图像处理、模式识别、机器人视觉、量子力学等领域得到广泛应用。-Wavelet transform is a Fourier transform developed on the basis, it is better than Fourier analysis of the place is that
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localization of mobile robot by using odometri
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要了解仿人机器人,首先要了解什么是舵机以及舵机与机器人的关系。我们都知道,机器人有许多个关节,每一个关节我们称为一个自由度。一般的机体,都有十几个自由度,这样才能够保证动作的灵活性。在机器人机体上,我们通常使用舵机作为每一个关节的连接部分。它可以完成每个关节的定位和运动。-To understand the humanoid robot must first understand what is steering gear and steering gear with robots relati
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利用高斯算法的粒子滤波器,可以应用于机器人自主定位等应用-Gaussian particle filter algorithm can be used in applications such as robot self-localization
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适用于多机器人合作的monte carlo定位算法-For multi-robot cooperation, monte carlo localization algorithm
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这是关于机器人定位方面的代码,关于Monte Carlo的一些详尽算法.希望对大家有用.来自多蒙工大.-implement a Monte Carlo localization scheme for a 3DOF mobile robot.hope useful for you..
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粒子滤波的文章,讲述了网络移动机器人粒子滤波定位研究,提供了有助于思考的想法和实现。
-Self-localization,especially the global localization in which the initial pose of
the robot is unknown,is the key for a mobile robot to realize autonomy.
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一个详细讲述卡尔曼滤波的ppt,通过它可以学习有关卡尔曼滤博,和机器人自主定位的知识- Kalman filter detailed ppt, through which you can learn more about Bo Kalman filter, and knowledge of robot autonomous localization
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概率机器人基于卡尔曼滤波器实现实时定位和地图创建(SLAM)的算法,用matlab编写,涵盖了机器人二维场景。-The simultaneous localization and mapping algorithm based on the Kalman filter. Robot work enviroment is 2D.
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Control and Localization of Robot Mobile Using EKF KALMAN FILTER ( Student : Moufid Bouhentala )-Control and Localization of Robot Mobile Using EKF KALMAN FILTER ( Student : Moufid Bouhentala )
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实时定位与建图(SLAM),用激光传感器采集周围环境信息,建立环境地图,并计算当前机器人的位姿。-
Simultaneous Localization and Mapping (SLAM), with a laser sensor to collect information on the surrounding environment, the establishment of an environment map, and calculate the current position a
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EKF框架下基于点特征的移动机器人同时定位与地图构建仿真程序-EKF under the framework of point-based mobile robot simultaneous localization and map building simulation program
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基于视觉信息的移动机器人同步地图创建与定位(vSLAM)问题是机器人自主导航技术的关键,已经成为自主移动机器人面临的重要基础性难题。-Mobile robot based on visual information synchronized map building and localization (vSLAM) is the key autonomous navigation technology has become an important autonomous mobile robot
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With mobile robot being applied to military area、manufacturing and daily llife
etc,it is an active and promising research area and attracts much more attention.
Mobile robot’S localization and navigation based on stereo vision is becoming one of
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旋翼飞行机器人视觉定位方法及系统_李力旋翼飞行机器人视觉定位方法及系统_李力-Rotor flying robot vision localization method and system _ Li Li-rotor flying robot vision localization method and system _ Li Li
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论文,机器学习的应用,采用视觉定位门,实现机器人开门的操作。-The localization of door using vision to accomplish the robot door opening.
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the combination of m1652312_Particle filter for robot localization using WiFi measurements
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