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active_graph_slam

catkin_ws_multi-robots

这是一个基于gazebo的多机器人协同仿真程序框架，目前可加载6个小机器人，并且分别搭载了单线激光雷达、深度摄像头、GPS、IMU和里程计和UWB等传感器。

crowdnav

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

deep-reinforcement-learning-algorithms

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

drl_robot_exploration

Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning

formation

Task assignment and planning for multi-robot formation

gazebosensorplugins

Some Gazebo plugins to simulate UWB and magnetic sensors.

gtsam_fusion

Estimates pose, velocity, and accelerometer / gyroscope biases by fusing GPS position and/or 6DOF pose with IMU data. The fusion is done using GTSAM's sparse nonlinear incremental optimization (ISAM2). The ROS (rospy) node is implemented using GTSAM's python3 inteface.

h-baselines

A repository of high-performing hierarchical reinforcement learning models and algorithms.

health-metrics-collector-ros1

This is a node for ROS1 that collects metrics about cpu usage and publishes them to a topic to be pushed to CloudWatch Metrics.

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

mac

Maximizing algebraic connectivity for graph sparsification

micro8

Gitbook

mobile-agent-sim

A decentralized, coordinate-free simulation of path planning, and shape-formation control of mobile robots in the complex plane building upon work from Z. Lin et al (2016). All code is original and was reverse-engineered from the original papers by Zhiyun Lin et al.

multi_robot_slam

progress of 2d multiple robot feature SLAM

multiboattrajectoryoptimization

Multiboat minimum makespan formation planning

multirobot_monitor

monitor the cpu memory I/O of the agent

papers-literature-ml-dl-rl-ai

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

parl

A high-performance distributed training framework for Reinforcement Learning

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-rvo2

Optimal Reciprocal Collision Avoidance, Python bindings

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【ICRA2019已更】

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rf2o_laser_odometry

Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217

rl-collision-avoidance

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

rvo_py_mas

Python Implementation of Reciprocal Velocity Obstacle for Multi-agent Systems

saasi-experiment

sim_gazebo_31936

slave_multirobot

The program of multiple robot project running in slave robot