Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
Hi,
These days, I have changed my robot（four wheel differential car）, but I meet some difficulties. When I use command " python3 train_velodyne_td3.py", in rviz, there is only the model. Other than that, nothing happened. And the terminal displays errors.
This is my multi_robot_scenario.launch file.
This is my mini.gazebo.launch file.
This is my xacro file.
And in the velodyne_env.py, I just modified the vehicle name
Could you give me some suggestions?
Hi, These days, I have changed my robot（four wheel differential car）, but I meet some difficulties. When I use command " python3 train_velodyne_td3.py", in rviz, there is only the model. Other than that, nothing happened. And the terminal displays errors.
This is my multi_robot_scenario.launch file.
This is my mini.gazebo.launch file.
This is my xacro file.
And in the velodyne_env.py, I just modified the vehicle name
Could you give me some suggestions?