Python implementation of a bunch of multi-robot path-planning algorithms.

A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.

Formation Flight in Dense Environments

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

ICRA RoboMaster AI Challenge Simulator - Gazebo with OpenAI gym

3D Multi-Robot Exploration, Patrolling and Navigation.

Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.

This repository contains the Matlab source codes (to use in Robotarium platform) of various rendezvous controllers for consensus control in a multi-agent / multi-robot system.

Quadratic program based Inverse kinematic solver for mutli-robotic arms with respect to the kinematic and self-collision avoidance constraints

The autonomous exploration army project consists of 1 aerial vehicle and 2 ground vehicles, utilizing ROS 2 and the Gazebo simulation environment.

3D simulation of multi robot (TurtleBot) system on Gazebo

Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams

A demo of multi turtlebot3 navigation in ROS.

This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.

Fault-tolerant formation control using energy tanks

A ROS package provides a node for merging multiple maps by knowing the initial relative positions of robots

[ROS2 humble] Custom gazebo package

Multi-robot Exploration Testbed

Quick Multi-Robot Motion Planning by Combining Sampling and Search (IJCAI-23)