reiniscimurs / DRL-Robot-Navigation-ROS2

Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Date Created 2024-02-29 (about a year ago)

Commits 89 (last one 2 months ago)

Stargazers 82 (1 this week)

Watchers 1 (0 this week)

Forks 8

License mit

Ranking

RepositoryStats indexes 643,432 repositories, of these reiniscimurs/DRL-Robot-Navigation-ROS2 is ranked #355,333 (45th percentile) for total stargazers, and #564,915 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #68,523/132,390.

reiniscimurs/DRL-Robot-Navigation-ROS2 is also tagged with popular topics, for these it's ranked: deep-learning (#5,785/8901), reinforcement-learning (#876/1485), deep-neural-networks (#456/664), ros2 (#228/437), deep-reinforcement-learning (#263/385)

Other Information

reiniscimurs/DRL-Robot-Navigation-ROS2 has 10 open pull requests on Github, 71 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 0 closed issues.

All Topics

sac td3 ros2 td3-pytorch deep-learning robot-navigation obstacle-avoidance deep-neural-networks reinforcement-learning obstacle-avoidance-robot deep-reinforcement-learning

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89 commits on the default branch (main) since jan '22

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updated: 2025-04-23 @ 09:58am, id: 765414825 / R_kgDOLZ9NqQ