Popular GitHub Repositories for Gazebo

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.

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

Deep Reinforcement Learning for Robotic Grasping from Octrees

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

Using RGB Image as Visual Input for Mapless Robot Navigation

ROS2 Self Driving Car using Deeplearning and Object Tracking through openCV

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Reinforcement learning using rlkit, UR5, Robotiq gripper on ROS(Robot Operating System)

ICRA RoboMaster AI Challenge Simulator - Gazebo with OpenAI gym

A drone control system based on deep reinforcement learning with Tensorflow and ROS

Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.

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.

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Autonomous Drifting using Reinforcement Learning

This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation

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