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nguyentries's starred repositories

faster

3D Trajectory Planner in Unknown Environments

Language:C++BSD-3-Clause93200

mader

Trajectory Planner in Multi-Agent and Dynamic Environments

Language:C++BSD-3-Clause47400

panther

Perception-Aware Trajectory Planner in Dynamic Environments

Language:C++BSD-3-Clause18300

Udacity_Projects_Master_Repo

Contains my solutions for various Nanodegree Programs (Robotics, Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Computer Vision, Sensor Fusion, Flying Cars).

MIT1800

dronekit-python

DroneKit-Python library for communicating with Drones via MAVLink.

Language:PythonApache-2.0153400

ArduinoQuadcopterFlightController

Watch the video series(in Turkish) on Youtube https://www.youtube.com/watch?v=C9xkCMksQAs&list=PLtQlkJsohc9c_IXv-PY0WzH45f750nHhu

Language:C++MIT3200

This project is a required submission for Udacity nano degree for autonomous flying car. In which the task is to plan a path for drone from an start state to a goal state in an urban area. The data set is comprised of obstacle geo points of the part of city.

Language:Python1400

Path_Planning_Fuzzy_Logic

100

Fuzzy-Logic

Path Planning using Fuzzy Logic

Language:Python200

Platooning-of-3-ackermann-vehiles-controlled-by-Fuzzy-Logic-Control

This project includes many aspect and all of them are done by ROS/Gazebo environment and the programming language used is Python.Starting by launching 3 Ackerman vehicles in one Gazebo environment and providing a path planning of lane changing of the leader car, the leader will move according to this path using Fuzzy Logic Control, and the 2 followers will follow each other using Goal to Goal controller.

Language:PythonMIT2800