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

3D Multi-Robot Exploration, Patrolling and Navigation.

ICRA RoboMaster AI Challenge Simulator - Gazebo with OpenAI gym

[IROS'24 Oral] Simultaneous Exploration and Photographing with Heterogeneous UAVs for Fast Autonomous Reconstruction

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

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

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.

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

A demo of multi turtlebot3 navigation in ROS.

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

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

[ROS2 humble] Custom gazebo package

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

Multi-robot local motion planning using dynamic optimization fabrics.