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ampru

Arduino Mobile Prototype Robot Uno

ar_navigation

Ros package to navigate using QR nodes

auto_panorama

Automatic panorama stitcher using matlab

avr_fun

Playing with atmega328p and use it to do some projects.

best-readme-template

An awesome README template to jumpstart your projects!

bison-flex-cpp-example

GNU Bison and GNU Flex C++ example

caffe

Caffe: a fast open framework for deep learning.

cartographer_ros

Provides ROS integration for Cartographer.

colorrealism

Code from the ICCV'07 paper "Using Color Compatibility for Assessing Image Realism"

community-starter-kit

Awesome mona's project.

computer-vision-and-ai

A collection of computer vision and artificial intelligence projects

continuous-integration-travis

diff_drive_mapping_robot

ROS driver for the Raspberry Pi based differential drive robot

foc-servo

Field Oriented Control of Permanent Magnet Synchronous Motors ( AC Servo Driver )

foc_esc

Design, docs, algo's, schematics for an ESC intended to run with a Field Oriented Control algorithm.

fourth_robot_pkg

4号機（KIT-C4）用リポジトリ

frontier_exploration

ROS Node and Costmap 2D plugin layer for frontier exploration

github-slideshow

A robot powered training repository :robot:

gitignore

A collection of useful .gitignore templates

grid_map

Universal grid map library for mobile robotic mapping

homework0

husky

Common packages for the Clearpath Husky

husky_cartographer_navigation

junit2html

Turn Junit XML reports into self contained HTML reports

learnopencv

Learn OpenCV : C++ and Python Examples

learnopengl

Code repository of all tutorials found at https://learnopengl.com

leetcode

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

linuxcnc

LinuxCNC controls CNC machines. It can drive milling machines, lathes, 3d printers, laser cutters, plasma cutters, robot arms, hexapods, and more.

mapping-and-localization-of-turtlebot-using-ros

The motto of the project is to gain experience in the implementation of different robotic algorithms using ROS framework. The first step of task is to build a map of the environment and navigate to a desired location in the map. Next, we have to sense the location of marker (e.g. AR marker, color markers etc) in the map, where there is pick and place task, and autonomously localise and navigate to the desired marker location. After reaching to the desired marker location, we have to precisely move towards the specified location based on visual servoing. At the desired location, we have a robotic arm which picks an object (e.g a small cube) and places on our turtlebot (called as pick and place task). After, the pick and place task, again the robot needs to find another marker, which specifies the final target location, and autonomously localise and navigate to the desired marker location, which finishes the complete task of the project.

merge-conflict