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Name: Ali Yousefi
Type: User
Bio: Robotics Engineering Student
Location: Genova, Italy
Ali Yousefi's Projects
ai-numeric-temporal-planning
An AI numeric and temporal planning problem, solved with durative actions.
dc-motor-control-dspic30f4011
Implementing a basic control system for an autonomous ground vehicle.
drone-team-control
Simulation and Control of a team of drones using socket programming
hoist-control-simulator
The code to design, develop, test and deploy is an interactive simulator of hoist with 2 d.o.f, in which two different consoles allow the user to activate the hoist.
knn-classifer-mnist
This experiment is a simple demonstration of implementing k-Nearest Neighbors classifier on MNIST data set. After loading the data set, k-Nearest Neighbors classifier, which is written as a MATLAB function, tries to read a random number, using the train data set.
nav2-keepout-zone
Navigation in ROS2 with Nav2 introduced a lot of new features and possibilities. The goal of this assignment is to explore and test the new feature of navigating in a known environment while avoiding user-defined “keep out areas”.
navigation-sensor-data-classification
Classification of a Navigation Robot Sensor Dataset Using SVM, Random Forest and Neural Network
python-robot-simulator
A simple robotic simulator in python
ros-gmapping-movebase
This ROS package provides three behaviors for controlling a simulated mobile robot using gmapping and movebase rospackages.
ros-moveit-opencv-ontology
ROS package for patrolling an indoor environment with a mobile robot
ros-turtlebot3-pid-controller
This ROS package is a simple practice for controlling the TurtleBot3 to move in an elliptic path
roscpp-robot-simulator
A simple rospackage to simulate and control a robot.
slope_constrained_planner
A global path planner for quadruped robots which considers slope of the terrain as constraint
stm32f103c8
Controling a DC motor using stm32f103c8 with PWM signal
zed-oculus-spot
This work describes an immersive control system for the Spot robot by Boston Dynamics, designed to track the head movements of the operator wearing the Meta Quest 2, while also utilizing touch controller commands for locomotion control.
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