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RoboRL Navigator - Reinforcement Learning Based Motion Planning

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eminsafa/RoboRL-Navigator

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RoboRL Navigator is a project that offers a codebase for Reinforcement Learning tailored to manipulator robots, particularly the Franka Emika Panda Robot. The project includes both Bullet and ROS Gazebo simulation environments that can be used to train the model to reach a specified pose. It also utilizes an open-source Grasping Pose Detection project that can be tested in either the Gazebo Simulation environment or the Real World.

RoboRL Navigator, already sim-to-real adjustment. Thus, trained models can be tested on real world.

Documentation

Maintenance GitHub license made-with-python Code style: pyink

Documentation is available here.

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Used By

This project is used by the following groups:

  • CUCR (Cardiff University Coptutational Robotics Team)

License

MIT

CodeStyle

Pyink

python3 -m pyink --line-length 120 -S .

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