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 about a month ago)

Stargazers 61 (10 this week)

Watchers 1 (0 this week)

Forks 6

License mit

Ranking

RepositoryStats indexes 627,954 repositories, of these reiniscimurs/DRL-Robot-Navigation-ROS2 is ranked #427,605 (32nd percentile) for total stargazers, and #553,361 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #82,635/127,702.

reiniscimurs/DRL-Robot-Navigation-ROS2 is also tagged with popular topics, for these it's ranked: deep-learning (#6,609/8774), reinforcement-learning (#1,015/1428), deep-neural-networks (#512/649), ros2 (#265/414), deep-reinforcement-learning (#305/377)

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 3 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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The primary language is Python but there's also others...

updated: 2025-03-14 @ 12:43pm, id: 765414825 / R_kgDOLZ9NqQ