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.

Multi-robot local motion planning using dynamic optimization fabrics.

An ROS implementation of optimal Multi-Agent Pathfinding algorithm ICTS (Increasing Cost Tree Search) , and a simple multi-agent navigation with ridgeback-robot simulated in Gazebo

3D Multi-Robot Exploration, Patrolling and Navigation.

Formation Flight in Dense Environments

Interactive 2D swarm robotics simulation platform developed to prototype, benchmark, and showcase control algorithms for multi robot systems.

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.

Multiple robot corepration and navigation with ros

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

[ROS2 humble] Custom gazebo package

Multi robot path planning algorithms implemented in MATLAB. Including heuristic search and incremental heuristic search methods. MRPP or MAPF

Multirobot system consisting of UR10s that allows simultaneous execution of tasks. It enables the control of different cobots with different controllers. || Sistema multirobot compuesto por UR10s que permite la ejecución simultánea de tareas. Permite el control de diferentes cobots con distintos tipos de controladores.

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

A demo of multi turtlebot3 navigation in ROS.

Versatile, flexible and dynamic launch configurations for the Robot Operating System (ROS 1) using Python (v2 & 3)

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

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Framework that allows the design, execution and analysis of generalized stochastic Petri nets (GSPN). It allows capturing multi-robot problems as a GSPN and simulate the model.

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

Adaptive Informative Sampling with Environment Partitioning for Heterogeneous Multi-Robot Systems (IROS 2020)