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View Code? Open in Web Editor NEWSARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.
License: MIT License
SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.
License: MIT License
After I read your paper and code, I found that the map-based velocity screening mechanism should be inside the compute_cost() function, but I can't find where the input about the 2D grid map information is. I found that self.gc was initialized to none, and I didn't see any modifications later. Could you please help me out?
Hello, I'm very impressed with your work. I also want to ask a question, does the training run train.py? I'm curious if there will be static obstacles in the training scene?
Hi,
The package is not compatible with ROS noetic. Will there be an updated version?
Hello, I'm very impressed with your work. I have completely installed the code according the instruction. Can I run your code in a simulation environment instead of a real world?
Thanks,
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