Discover @kucar17 Open Source projects

Kaan Uçar (@kucar17)

kucar17

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Location 🇹🇷 Turkey
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RRT-Path-Planning-Algorithm

This script is designed for the demonstration of a Sampling Based RRT Path Planning which creates a path for a robot in an environment which consists of obstacles.

youbot-Pick-and-Place-with-Feedforward-and-PI-Control

The project aims to make the mobile manipulator youBot pick a cube from an initial configuration and transport it to a desired location before dropping it off.

Modified-Inverse-Kinematics-Function-for-UR5-Robot-Coursera-

A Modified Matlab Function to calculate the Inverse Kinematics of UR5 Robot. The function calculates the required joint angles for UR5 Robot to reach a certain configuration. It utilizes Newton-Raphson Root Finding Algorithm to compute the result. The function reports the calculated joint angles, the Forward Kinematics for the particular joint angles and the error in each iteration. The function finally creates a .csv file which contains the calculated joint angles in each iteration. The .csv file can be used to inspect the Robot's motion in a Simulation software. The project is executed as the Peer Graded Assignment of the Modern Robotics, Course 2: Robot Kinematics by Northwestern Universtity, part of Coursera's Modern Robotics: Mechanics, Planning, and Control Specialization.

Artificial-Intelligence-Reinforcement-Learning-in-Python-Codes

My codes and solutions for Lazy Programmer's "Artificial Intelligence: Reinforcement Learning in Python" course on Udemy

Self-Driving-Cars-Spec

Jupyter Notebook

TUBITAK_2209_A_Quadcopter_Attitude_Control_Firmware

This repository contains the source code of the project "Modeling and Control of Four Rotor Aerial Vehicle for Increased Aggressive Maneuverability", which is entitled to receive funding and support by TUBITAK pursuant to TUBITAK 2209-A University Students Research Projects Support Program. The main objective of the project is to design and implement a four rotor unmanned aerial vehicle which is able to perform agressive maneuvers with ensured stability.