Utilize multiple robots to autonomously explore an environment and generate a single merged global map

Code used for research in multi-agent maze exploration.

ROS2 Multi-Robot Package

Roborobo v.4 - super fast multi-robot simulator for evolutionary swarm robotics and multi-agent learning. Combines ease-of-use (python interface) with speed (C++ core engine).

The simple code implemetation for robot scheduling

Using MPC to Maintenance Connectivity

A trajectory planning framework for multiple robots: paper accepted in IEEE T-RO

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

Multi robot sweep coverage: Matlab codes for the paper accepted in IEEE T-SMC.

Multirobot SLAM

Simulation environmet based on docker and docker-compose used to run multi-robot experiments ROS+Morse in the Software Engineering Lab (LES) at University of Brasilia.

Implementing frontier based exploration mapping with turtlebot3 and LiDAR mapping

Simulation of swarm of robots used to explore and search for a target, done using Webots software.

Developed and simulated a randomly scattered collective of robots with sensors to self-assemble into any given connected shape, using gradient information derived from the desired shape.

An iOS application (primarily on iPad) to remotely control UAVs

A ROS package to simulate multirobot patrolling and analyze the performance of the simulations

Sequential map merging for cooperative SLAM with particle filter

This is part of my thesis on Coverage of Modular Environments, at Politecnico di Milano

Multi-Robot Path Planning on Graphs Solution by A* algorithm