Comments (14)
from autonomous-driving-turtlebot-with-reinforcement-learning.
we already study basics of ROS architecture
and we run this project with this code
rosrun master_rad control_node.py
When we use 0, 2 path, we are success
but the other path we are failed
When you process this project , Did you success all the pass?
thank you for your response
l am honored to study this project
from autonomous-driving-turtlebot-with-reinforcement-learning.
from autonomous-driving-turtlebot-with-reinforcement-learning.
from autonomous-driving-turtlebot-with-reinforcement-learning.
Sorry for the late reply. We run control_node.py via rosrun but everything fails except path 0,2 as pictured. I'm not sure why this is wrong. is there another important code for run this program? we just use rosrun master_rad control_node.py. Please let us know if we are doing anything wrong. thanks for the reply
from autonomous-driving-turtlebot-with-reinforcement-learning.
Yes, that's how you run the code, nothing else needs to be done. Just choose the path at the top of the .py file and it should work. Which version of ROS and Linux are you using? By the look of your screen i guess you are using newer version of Linux and and ROS probobly, i used Linux 16.04 and ROS Kinetic Kame on the virtual machine. Everything should work fine, the version of code posted here is the final version that worked for me.
from autonomous-driving-turtlebot-with-reinforcement-learning.
Thanks for your kind reply. I'll check it out and post back.
from autonomous-driving-turtlebot-with-reinforcement-learning.
I ran it with 16.04 kenetic and still got the same result. Having trouble running it in a VM? thanks for the response
from autonomous-driving-turtlebot-with-reinforcement-learning.
Then im afraid i dont know from here what the problem is, i will try to debug these days when i get time. Hope i will solve the problem and answer you as soon as possible.
from autonomous-driving-turtlebot-with-reinforcement-learning.
Fixed everything, scripts had few bugs that i left while i was testing. I did one more learning phase and acquired new Q-table which is stored in Log_learning_FINAL folder. Everything works fine now.
One note: beware of the feedback controller parameters and goal distance and angle threshold, reaching goal depends a lot on these.
Please let me know if all paths work for you now, so i can close the issue.
from autonomous-driving-turtlebot-with-reinforcement-learning.
Thanks for your hard work. But unfortunately I can't seem to get Q-learning to work properly in this code. The terminal says Q-learniing is being applied, but there are many times when the direction change does not occur. Could you please let me know what the problem is? Now it crashes on all paths. Thank you always.
from autonomous-driving-turtlebot-with-reinforcement-learning.
I have migrated my PC fully to Linux in the meantime. Now I am using Ubuntu 20.04 with ROS noetic.
PARAMETERS
- /rosdistro: noetic
- /rosversion: 1.15.11
Please try with these versions, and if it still does not works i really dont have any idea why. Are you sure u downloaded the latest code?
from autonomous-driving-turtlebot-with-reinforcement-learning.
Finally succeeded. All thanks to you. Thank you very much. It worked because I matched the version. Thank you very much.
from autonomous-driving-turtlebot-with-reinforcement-learning.
Your welcome! Im glad it works now
from autonomous-driving-turtlebot-with-reinforcement-learning.
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from autonomous-driving-turtlebot-with-reinforcement-learning.