ROS package for Autonomus mobile robot project
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Updated
Nov 9, 2018 - Python
ROS package for Autonomus mobile robot project
A ROS architecture for the control of a mobile robot in a Gazebo environment.
Autonomous navigation using TortoiseBot Pro Max
Stochastic Triangular Mesh (STM) Mapping — an online dense mapping technique for mobile robots.
Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Optimal Path Planning in obstacle loaded map using Dijkstra
Intralogistics demo project based on Mobile Industrial Robot platform (MIR). Created during apprenticeship in ASTOR Poznan 2022.
Modelling and SImulation of a mobile robot in Gazebo
Mobile Robot Simulator Controllers
Online Indoor Localization Using DOA of Wireless Signals
Implement some algorithms and methods for Mobile Robot using Python
Mobile-robot Collision Avoidance Learning
Robot (or Device) Localization Using Particle Filter over DOA of Wireless Signals
Controlling Mobile robots using ROS
Toolkit of mapping, bounding, ranging, trigonmetric functions for the development of mobile robotic software and systems that are frequently needed and convenient to have in one place.
A Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. Q-Learning, SARSA and Deep Q-Network algorithms were compared.
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