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Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.

License: MIT License

Python 68.34% C 2.12% Shell 1.75% C++ 4.56% Common Lisp 4.80% JavaScript 1.24% CMake 16.64% MATLAB 0.54%
snn loihi neuromorphic-computing intel-neuromorphic deep-reinforcement-learning mapless-navigation pytorch ros gazebo turtlebot2

spiking-ddpg-mapless-navigation's Issues

segmentation fault (core dump) exit code 139

Hi, I installed the same version of Ubuntu/ROS/Gazebo as yours.
with running " roslaunch turtlebot_lidar turtlebot_world.launch ", I could see Turtlrbot2 with LiDAR inside the gazebo.
but now when I run it again, I see "segmentation fault (core dumped)" and the gazebo does not show anything (all black screen).
what can be the problem, any suggestion? Thank you.
image1 (19)

real driving without loihi

Hi, I'm testing your code with my turtlebot.
As I don't have any loihi chipset, I implemented the code in the directory 'evaluation/eval_real_world/run_ddpg_eval_rw.py'.

But there is no output with run_ddpg_eval_rw.py.
Is this code available without loihi?

Thank you.

About success rate

I trained a T=5 model according to the tutorial, but the test success rate is only 79.5%, the average path distance is 19.35m, and the average time is 31.5s. Your model has a success rate of 99%, but the average time is 42s.
Could you help me?
Thanks!

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