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SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.

License: MIT License

CMake 2.51% HTML 0.04% CSS 0.95% Python 65.81% C++ 24.31% C 5.91% Makefile 0.01% Shell 0.03% EmberScript 0.03% Cython 0.40%
reinforcement-learning mobile-robot-navigation human-aware pedestrian-detection dqn crowd

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sarl_star's Issues

problems during training

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?

How can I run in a simulation?

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,

compute_cost() function cannot find map information.

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?

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