Description: 为了验证本文提出的避障定位方法的有效性和可行性，在广茂达移动机器人平台上分别设计了室内环境下的实时避障及定位、系统误差校核以及轮子打滑校核实验。
-In this paper, in order to verify the location of the obstacle avoidance method is effective and feasible, in Guangmao Tatsu mobile robot platform designed indoor environment, respectively, under the real-time obstacle avoidance and positioning system error checking and verification experiment slippery wheels. Platform: |
Size: 62464 |
Author:xuyuhua |
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Description: 室内移动机器人定位与导航关键技术研究,新思路-Indoor mobile robot localization and navigation key technology research and new ideas Platform: |
Size: 391168 |
Author:苏朗朗 |
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Description: 移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第一部分-Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summer training materials, a total of three code package, including the EKF, PF and other code, this is the first part of Platform: |
Size: 84992 |
Author:张才 |
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Description: 移动机器人同时定位与地图创建最前沿技术，来自school summer 的培训材料，一共有三个代码包，包括EKF，PF等代码，这是第二部分，主要是关于数据关联（data association）的.-Mobile Robot Localization and Mapping at the same time to create the most cutting-edge technology, from the school summer training materials, a total of three code package, including the EKF, PF and other code, this is the second part, mainly on the data association (data association) of . Platform: |
Size: 22054912 |
Author:张才 |
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Description: 这是移动机器人同时定位与地图创建的第三部分，主要是关于信息滤波器的（Information filter）-This is a mobile robot localization and mapping at the same time to create the third part, focusing on the information filter (Information filter) Platform: |
Size: 1257472 |
Author:张才 |
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Description: 使用Extended Kalman Filter进行SLAM的新版本代码，主要用于机器人定位和地图自动绘制。-The New Version of SLAM code using Extended Kalman Filter, used in the field of robot localization and map building Platform: |
Size: 25600 |
Author:张留 |
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Description: 使用Unscented Kalman Filter进行SLAM，主要用于机器人定位和地图自动绘制，UKF的效果要优于EKF，当然计算量也大些。-The Matlab code for SLAM using Unscented Kalman Filter, mainly used for robot localization and map building Platform: |
Size: 10240 |
Author:张留 |
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Description: 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo Localization
[MCL]. MCL algorithms represent a robot’s belief by a set of weighted hypotheses [samples],
which approximate the posterior under a common Bayesian formulation of the localization problem.
Building on the basic MCL algorithm, this article develops a more robust algorithm called Mixture-
MCL, which integrates two complimentary ways of generating samples in the estimation. To apply
this algorithm to mobile robots equipped with range finders, a kernel density tree is learned that
permits fast sampling. Systematic empirical results illustrate the robustness and computational
efficiency of the approach. 2001 Published by Elsevier Science B.V.
Keywords: Mobile robots Localization Position estimation Particle filters Kernel density trees Platform: |
Size: 1425408 |
Author:xuyuhua |
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Description: 通过WiFi信号的测量进行粒子滤波定位机器人 Particle filter for robot localization using WiFi measurements Matlab R2007b, Image Processing Toolbox 这个Matlab程序展示通过粒子滤波进行机器人的跟踪-WiFi signal measurement through the particle filter for robot positioning Particle filter for robot localization using WiFi measurements Matlab R2007b, Image Processing Toolbox of the Matlab program to demonstrate the robot through the particle filter tracking Platform: |
Size: 192512 |
Author:ice |
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Description: sir particle Filter for robot localization, mapping, SLAM. Matlab simulation of the application of particle filter robot localization, mapping, SLAM Platform: |
Size: 33792 |
Author:seyed2 |
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Description: 机器人定位程序，采用路径规划算法，能够使机器人壁障后，到达目的地。-Robot localization procedures, the use of path planning algorithms, enabling the robot after the barrier to reach the destination. Platform: |
Size: 75776 |
Author:zhaojun |
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Description: We are researching robot localization techniques which fuse dead reckoning measurements with range measurements from stationary radio beacons in the robot s environment.
This site provides Matlab code for three algorithms explored thus far -- an Extended Kalman Filter, a Particle Filter, and a Sliding Batch method -- as well as .mat files containing data collected from a robot driving and receiving range measurements over different paths. Two such data sets are provided.
Platform: |
Size: 7168 |
Author:niloofar |
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Description: 机器人足球赛，人形机器人在足球场的定位问题。采用粒子滤波方法，此为模拟的文件。-Robot soccer, humanoid robot localization problem in football. Using particle filter, this is the simulation of the file. Platform: |
Size: 6144 |
Author:贾子枫 |
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