Reinforcement Learning-based Mobile Robot Navigation
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Oct 31, 2017 - MATLAB
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Reinforcement Learning-based Mobile Robot Navigation
Autonomous mobile robot using the gmapping, amcl, and move_base ROS packages
Motion planning of an autonomous mobile robot using genetic algorithm
The source files accompanying our research paper titled - "A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization".
Mobile robot local planner based on sidewalk segmentation.
Project 5 - Udacity Robotics Software Engineer Nanodegree Program
Project 4 - Udacity Robotics Software Engineer Nanodegree Program
Projects of the Udacity Robotics Software Engineer Nanodegree Program
Intelligent Navigation System of mobile robot with ten Ultrasonic sensors, user interface via C# Windows Form Application, instructions and videos on how to assemble mobile robotic platform
A weeding robot that can autonomously navigate in the field between obstacles, identify different kinds of weeds and then spray them in a Gazebo simulation environment.
A device autonomously moving inside an indoor area and creating a real-time 2D plan of there.
Merging the field of view of two cameras for pose and velocity estimation of multiple moving objects using ROS software framework
Control of Mobile Robots course project 2021/2022 - Politecnico di Milano.
SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.
Robotic simulation in Unity with ROS integration.
This local planner implements the local planning method used in Tier IV's Autoware OpenPlanner (Local Planner), with modifications to suit our application.
ROS-based autonomous navigation implementation on a mobile robot platform
A Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. Q-Learning, SARSA and Deep Q-Network algorithms were compared.
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
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