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plant-detection

Detects and marks plants in a soil area image using Python OpenCV

python-course

Tutorial and introduction into programming with Python for the humanities

python-wifi-survey-heatmap

A Python application for Linux machines to perform WiFi site surveys and present the results as a heatmap overlayed on a floorplan

pythonrobotics

Python sample codes for robotics algorithms.

racecar

racecar_gazebo

A gazebo-based simulator of the MIT Racecar.

racingrobot

Autonomous Racing Robot With an Arduino, a Raspberry Pi and a Pi Camera

rbcar_common

Robotnik Car common packages

rc_car_ros

ROS package to control an autonomous RC vehicle based on Raspberry Pi3

roomblock

ros2-templates

rosbot_description

ROSbot urdf model

rosserial

A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial

ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

ros_best_practices

Best practices, conventions, and tricks for ROS

ros_seminar

Lecture and Reference Material

self-driving-car

The Udacity open source self-driving car project

selfdriving-robot-car

Raspberry Pi based robot car which is capable of autonomous driving using Deep Neural network.

sim-to-real-virtual-guidance-for-robot-navigation

We present an effective, easy-to-implement, and low-cost modular framework for completing complex navigation tasks.

suruiha

Teknofest Istanbul Suru IHA yarışması simulasyon kod ve kaynakları

swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and Grey Wolf Optimizer (GWO)

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).