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zhouzuhong's Projects

map_mux icon map_mux

ROS Package for Map Multiplexer to support multi level traversal

marine-farm-cpp icon marine-farm-cpp

Coverage path planning for an underwater robot monitoring an algae farm

master_thesis icon master_thesis

Source files generated during the development of my master research project.

master_thesis-1 icon master_thesis-1

Master Thesis about Coverage Path Planning with Genetic Algorithms.

master_thesis_local_planning_algorithms_in_ros icon master_thesis_local_planning_algorithms_in_ros

The main goal of this work is to compare several local planning algorithms (planners). The assumption is to compare, two algorithms which are already implemented in ROS environment and two selected motion planning algorithms. Based on the performed research of the available motion planning approaches, two algorithms have been selected, Potential field based algorithm and BUG0 algorithm (Chapters 2-3). In order to achieve the main goal of this master thesis, the whole test environment based on ROS has been created. The Gazebo2 simulator and the Pioneer 3-DX robot model have been used in that order. The Gazebo2 simulator and the robot model have been configured with the ROS environment compatibility (Chapter 4). Selected algorithms have been implemented in Python 2.7 programming language. Implemented algorithms and ROS algorithms have been configured with previously created test environment (Chapters 5-6). The robot working area became the rectangular building wit dimensions, 100x30[m]. About 40 obstacles, with different size, have been created in the building (Chapter 7.1). Next, the tests have been performed, in the prepared working area, in order to obtain the optimal parameters sets for each algorithm.

matplotlib-cpp icon matplotlib-cpp

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

mavslam icon mavslam

Visual odometry based on Intel® RealSense™R200

mbplanner_ros icon mbplanner_ros

Motion-primitives Based Planner for Fast & Agile Exploration

mcl icon mcl

monte carlo localization - very much indev

mcl_2d_lidar_ros icon mcl_2d_lidar_ros

Monte Carlo Localization (MCL) using 2D LiDAR on Robot Operating System (ROS)

mcl_3dl icon mcl_3dl

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

mcl_ros icon mcl_ros

A ROS package for mobile robot localization with 2D LiDAR

micvision icon micvision

Micvision package provide exploration and location for robot using navigation and cartographer packages

minifoc icon minifoc

你还在为有刷电机的高噪声、低响应速度和低寿命而烦恼吗?这个项目是一个20块钱就能搞定的FOC无刷电机控制方案!This project is a FOC (Field Oriented Control) BLDC Motor control scheme that can be done for 3$!

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