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aerostack

Repository for Aerostack, a software framework for autonomous multi-robot unmanned aerial systems

autonomous-drone-navigation

Autonomous Drone Navigation Project using Deep Reinforcement Learning

avoidance

PX4 avoidance ROS node for obstacle detection and avoidance.

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer_ros

Provides ROS integration for Cartographer.

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-rl-torcs

Autonomous Navigation using Deep Reinforcement Learning

drl-autonomousvehicles

Autonomous vehicle navigation based on Deep Reinforcement Learning

ethz_asl_uav_autonomous

苏黎世理工开源的整套自主无人机系统

fast-planner

Package for the paper "Robust and Efficient Quadrotor Trajectory Generation for Fast Autonomous Flight"

firmware

PX4 Autopilot Software

flightmare

An Open Flexible Quadrotor Simulator

gcg

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

iros2020-paper-list

IROS2020 paperlist by paopaorobot

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

lstm_on_create2

Testing and comparing LSTM, or in general an RNN, solving path planning problems. ROS framework is used, existing planners in the navigation stack would be possible supervisors. Thus, LSTM planner is implemented.

mav_trajectory_generation

Polynomial trajectory generation and optimization, especially for rotary-wing MAVs.

mav_voxblox_planning

MAV planning tools using voxblox as the map representation.

minimum-snap-geometric-control

Quadrotor control using minimum snap trajectory optimization and SE3 geometric controller

motionplannerusingddpg

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

pl-vio

monocular visual inertial system with point and line features

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

px4_command

Send command to PX4 using Mavros package

px4_ros_com

ROS2/ROS interface with PX4 through a Fast-RTPS bridge

realsense-ros

Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module

rl-collision-avoidance

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

rl-navigation

rl_for_avos

Code for Active Visual Object Search Using Deep Reinforcement Learning