reiniscimurs/DRL-robot-navigation
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles. observed · 2026-08-28
Health v2 · maintenance only
58/100
- Activity 57
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1773
- days_rel: n/a
- days_push: 263
- n_releases_24m: 0
Adoption not part of the score
1356 stars · 193 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A ROS Gazebo simulation project that trains a mobile robot to navigate to random goals while avoiding obstacles using a TD3 deep reinforcement learning network. It includes training and testing scripts, a Gazebo environment with a simulated 3D Velodyne lidar, and TensorBoard logging, based on an ICRA 2022 / IEEE RA-L paper.
Use cases
- train a robot to navigate to goals with deep reinforcement learning
- simulate obstacle avoidance for a mobile robot in Gazebo
- learn TD3 for robot navigation
- reproduce a DRL robot navigation research paper
- set up a ROS Gazebo training environment for navigation policies
- test learned navigation policies with lidar sensor input
When to choose
- you use ROS Noetic on Ubuntu and want a working DRL navigation setup
- you want to train or evaluate TD3 policies in a Gazebo simulator
- you need a reference implementation for lidar-based obstacle avoidance research
When to avoid
- you need navigation on real hardware out of the box
- you use ROS 2 or a non-Ubuntu platform
- you want a general-purpose navigation stack rather than a research/training codebase
Facets
application · maturity active
reinforcement-learning machine-learning deep-learning simulation robotics robotics reinforcement-learning deep-learning simulation python td3 ros gazebo obstacle-avoidance robot-navigation pytorch velodyne linux
1 source
- readme: https://github.com/reiniscimurs/DRL-robot-navigation · fetched 2026-08-28 · ddae8e9f25a1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| reiniscimurs/DRL-robot-navigation | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="reiniscimurs/DRL-robot-navigation")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem