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This ROS2 package aims to demonstrate how the Particle Filter or Monte Carlo Localization is implemented in a real robot in a simulation world.
Tutorial for developing robot, implement on e-puck robot, simulated on Webots simulator
The objective is to teach robot to find and reach the target object in the minimum number of steps and using the shortest path and avoiding any obstacles such as humans, walls, etc usinf reinforcement learning algorithms.
Implementation of basic rotational and targeted movement on the E-Puck robot with Python within the Webots simulator.
Map exploration using e-puck2 and PCM for communication
Simulation of epuck robot in gazebo simulator
Simple 2D ePuck simulator
🎓 University Project: 🤖 18COC001 Robotics
pyePuck is a python library to control remotely the ePuck robot
A repository containing basic robot controllers (various types: e.g. NAO by Aldebaran, e-Puck and more) that were implemented or upgraded during the experimental part of the course Autonomous Agents at TUC. The evaluation and appliance of the controllers developed, was carried out using Webots R2021 simulation enviroment.
Simple foraging and random aggregation strategy for swarm robotics without communication. Simulation on V-rep for ePuck robots.
Corresponds to the first project for the class "Introduction to intelligent robotics". Modification of few parts of the base code and describe those modifications and its reasoning in the file attached.
Webots project where a robot navigates a maze using only proximity sensors and the right-hand rule, without relying on vision. The goal is to exit the maze autonomously.
Thesis completed as part of the Master's in Computer Systems Architecture at Hénallux (IESN)
This Use Webots Simulation and Distance sensor to avoid the obstacle and move random in evironment
🔍 Simulate 2D robot localization with Monte Carlo methods and ray casting to improve your understanding of probabilistic robotics.
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