Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

Multi-robot control simulation environmrnt build on top on Mobile Robotics Simulation Toolbox, implemented 1)some algorithm for formation control 2)mapping, localization and SLAM based on Kalman filter..

time-varying formation control of UAVs

🛸 An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.

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.

ROS package for formation and rendezvous of multi-drone (T-Cyber 2020)

Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular formation.

Formation control of UAVs in Webots

An Adaptive Formation Control of Multiple UAVs dealing with External disturbances

Fault-tolerant formation control using energy tanks

Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.

This repository includes a number of consensus- based control examples (Leader/Follower-Formation Control) developed using Robotarium on Matlab

Python and MATLAB implementations of Flocking Algorithms and Formation Control

[IEEE ICUAS 2022] Python scripts for swarming, formation control, and observer-based adversary detection for multi-UAVs (Tello Drones)

Self-reconfiguration strategy for UAVs Formation

Python / ROS implementation of Reynolds flocking algorithm. Simulation and real-world usage on Sphero SPRK+ robots.

Simulink implementation of "A Decentralized Cooperative Control Scheme With Obstacle Avoidance for a Team of Mobile Robots". This project has been done at the request of Zobdeh Modiran Rahneshan Soraya Company in the 2nd Rahneshan Competition.

Toy robotic projects from winter holiday 2018-2019 and spring 2019 at Boston University

Leader-Follower based model predict formation control, with adaptive control to overcome slippage problem in each robots

Communication-aware Formation Control for Dynamical Multi-agent System