Comments (3)
dusty-nv
commented on September 14, 2024
Hi yashu88, if you inspect rovernet.lua, and this function declaration function update_network( input_tensor
The sensor data is provided from the user in input_tensor. It could be video, LIDAR, or other sensor data that the user provides. It can be trained on practically any data. A reward is also provided by the user program.
The tensors that are available in the update_network function in rovernet.lua are funneled from the user C/C++ interface that you can find under the C/ directory of the project.
Also note that I am refactoring rovernet to use my jetson-reinforcement repo, so the learners can be tested/verified on test problems and simulation before the real-world robot.
from rovernet.
yashu88
commented on September 14, 2024
Respected Sir,
Thank you very much for your quick and nice reply. Your guidance is so
helpful for me.
Now I can restart my study with proper direction. Sir I will also check
your jetson-reinforcement github project.
Thank you once again sir.
Thank you and Regards,
Yashashree
from rovernet.
yashu88
commented on September 14, 2024
Respected sir,
I have refer your rovernet github source and based on that now I am trying
to implement my own code to control mobile robot path. I want to prepare
basic program and want to test it on my robot. So I can
clearly understand how DQN work in real environment.
I used Torch/LuaJit for implementation.I have also used ros interface for
robot interaction. My receiver program is ROS supportive cpp program and it
receives data (webcam output) from camera sensor and extract images. I have
feed this images to my agent once preprocessing done. My Agent
Mobile_Robot.tar.gz
<https://drive.google.com/file/d/0B6U4I2YxnqS1Tjhua1VGbTdIYTQ/view?usp=drive_web>
successfully receive this data.
But I got error qlua: ./Agent.lua:245: attempt to index field 'transitions'
(a nil value)
stack traceback:
Sir I am very new to this field and work by my own. Sir can you please
clear my doubt regarding above mentioned error.
Thank you and Regards,
Yashashree
from rovernet.
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